diff --git a/app.py b/app.py new file mode 100644 index 0000000000000000000000000000000000000000..0efb108b1aa0b7528e5390785a15d02610483a72 --- /dev/null +++ b/app.py @@ -0,0 +1,311 @@ +import json +import tempfile +import os +import requests +import streamlit as st +from lagent.schema import AgentStatusCode +from pyvis.network import Network +import subprocess + +# process = subprocess.Popen("python -m mindsearch.app --lang en --model_format internlm_silicon --search_engine TencentSearch", shell=True) +os.system("python -m mindsearch.app --lang en --model_format internlm_silicon --search_engine DuckDuckGoSearch &") + +# Function to create the network graph +def create_network_graph(nodes, adjacency_list): + net = Network(height="500px", width="60%", bgcolor="white", font_color="black") + for node_id, node_content in nodes.items(): + net.add_node(node_id, label=node_id, title=node_content, color="#FF5733", size=25) + for node_id, neighbors in adjacency_list.items(): + for neighbor in neighbors: + if neighbor["name"] in nodes: + net.add_edge(node_id, neighbor["name"]) + net.show_buttons(filter_=["physics"]) + return net + + + +# Function to draw the graph and return the HTML file path +def draw_graph(net): + path = tempfile.mktemp(suffix=".html") + net.save_graph(path) + return path + + +def streaming(raw_response): + for chunk in raw_response.iter_lines(chunk_size=8192, decode_unicode=False, delimiter=b"\n"): + if chunk: + decoded = chunk.decode("utf-8") + if decoded == "\r": + continue + if decoded[:6] == "data: ": + decoded = decoded[6:] + elif decoded.startswith(": ping - "): + continue + response = json.loads(decoded) + yield ( + response["current_node"], + ( + response["response"]["formatted"]["node"][response["current_node"]]["response"] + if response["current_node"] + else response["response"] + ), + response["response"]["formatted"]["adjacency_list"], + ) + + +# Initialize Streamlit session state +if "queries" not in st.session_state: + st.session_state["queries"] = [] + st.session_state["responses"] = [] + st.session_state["graphs_html"] = [] + st.session_state["nodes_list"] = [] + st.session_state["adjacency_list_list"] = [] + st.session_state["history"] = [] + st.session_state["already_used_keys"] = list() + +# Set up page layout +st.set_page_config(layout="wide") +st.title("MindSearch-思索") + + +# Function to update chat +def update_chat(query): + with st.chat_message("user"): + st.write(query) + if query not in st.session_state["queries"]: + # Mock data to simulate backend response + # response, history, nodes, adjacency_list + st.session_state["queries"].append(query) + st.session_state["responses"].append([]) + history = None + # 暂不支持多轮 + # message = [dict(role='user', content=query)] + + url = "http://localhost:8002/solve" + headers = {"Content-Type": "application/json"} + data = {"inputs": query} + raw_response = requests.post( + url, headers=headers, data=json.dumps(data), timeout=20, stream=True + ) + + _nodes, _node_cnt = {}, 0 + for resp in streaming(raw_response): + node_name, response, adjacency_list = resp + for name in set(adjacency_list) | { + val["name"] for vals in adjacency_list.values() for val in vals + }: + if name not in _nodes: + _nodes[name] = query if name == "root" else name + elif response["stream_state"] == 0: + _nodes[node_name or "response"] = response["formatted"] and response[ + "formatted" + ].get("thought") + if len(_nodes) != _node_cnt or response["stream_state"] == 0: + net = create_network_graph(_nodes, adjacency_list) + graph_html_path = draw_graph(net) + with open(graph_html_path, encoding="utf-8") as f: + graph_html = f.read() + _node_cnt = len(_nodes) + else: + graph_html = None + if "graph_placeholder" not in st.session_state: + st.session_state["graph_placeholder"] = st.empty() + if "expander_placeholder" not in st.session_state: + st.session_state["expander_placeholder"] = st.empty() + if graph_html: + with st.session_state["expander_placeholder"].expander( + "Show Graph", expanded=False + ): + st.session_state["graph_placeholder"]._html(graph_html, height=500) + if "container_placeholder" not in st.session_state: + st.session_state["container_placeholder"] = st.empty() + with st.session_state["container_placeholder"].container(): + if "columns_placeholder" not in st.session_state: + st.session_state["columns_placeholder"] = st.empty() + col1, col2 = st.session_state["columns_placeholder"].columns([2, 1]) + with col1: + if "planner_placeholder" not in st.session_state: + st.session_state["planner_placeholder"] = st.empty() + if "session_info_temp" not in st.session_state: + st.session_state["session_info_temp"] = "" + if not node_name: + if response["stream_state"] in [ + AgentStatusCode.STREAM_ING, + AgentStatusCode.CODING, + AgentStatusCode.CODE_END, + ]: + content = response["formatted"]["thought"] + if response["formatted"]["tool_type"]: + action = response["formatted"]["action"] + if isinstance(action, dict): + action = json.dumps(action, ensure_ascii=False, indent=4) + content += "\n" + action + st.session_state["session_info_temp"] = content.replace( + "<|action_start|><|interpreter|>\n", "\n" + ) + elif response["stream_state"] == AgentStatusCode.CODE_RETURN: + # assert history[-1]["role"] == "environment" + st.session_state["session_info_temp"] += "\n" + response["content"] + st.session_state["planner_placeholder"].markdown( + st.session_state["session_info_temp"] + ) + if response["stream_state"] == AgentStatusCode.CODE_RETURN: + st.session_state["responses"][-1].append( + st.session_state["session_info_temp"] + ) + st.session_state["session_info_temp"] = "" + else: + st.session_state["planner_placeholder"].markdown( + st.session_state["responses"][-1][-1] + if not st.session_state["session_info_temp"] + else st.session_state["session_info_temp"] + ) + with col2: + if "selectbox_placeholder" not in st.session_state: + st.session_state["selectbox_placeholder"] = st.empty() + if "searcher_placeholder" not in st.session_state: + st.session_state["searcher_placeholder"] = st.empty() + if node_name: + selected_node_key = ( + f"selected_node_{len(st.session_state['queries'])}_{node_name}" + ) + if selected_node_key not in st.session_state: + st.session_state[selected_node_key] = node_name + if selected_node_key not in st.session_state["already_used_keys"]: + selected_node = st.session_state["selectbox_placeholder"].selectbox( + "Select a node:", + list(_nodes.keys()), + key=f"key_{selected_node_key}", + index=list(_nodes.keys()).index(node_name), + ) + st.session_state["already_used_keys"].append(selected_node_key) + else: + selected_node = node_name + st.session_state[selected_node_key] = selected_node + node_info_key = f"{selected_node}_info" + if node_info_key not in st.session_state: + st.session_state[node_info_key] = [["thought", ""]] + if response["stream_state"] in [AgentStatusCode.STREAM_ING]: + content = response["formatted"]["thought"] + st.session_state[node_info_key][-1][1] = content.replace( + "<|action_start|><|plugin|>\n", "\n```json\n" + ) + elif response["stream_state"] in [ + AgentStatusCode.PLUGIN_START, + AgentStatusCode.PLUGIN_END, + ]: + thought = response["formatted"]["thought"] + action = response["formatted"]["action"] + if isinstance(action, dict): + action = json.dumps(action, ensure_ascii=False, indent=4) + content = thought + "\n```json\n" + action + if response["stream_state"] == AgentStatusCode.PLUGIN_RETURN: + content += "\n```" + st.session_state[node_info_key][-1][1] = content + elif ( + response["stream_state"] == AgentStatusCode.PLUGIN_RETURN + and st.session_state[node_info_key][-1][1] + ): + try: + content = json.loads(response["content"]) + except json.decoder.JSONDecodeError: + content = response["content"] + st.session_state[node_info_key].append( + [ + "observation", + ( + content + if isinstance(content, str) + else f"```json\n{json.dumps(content, ensure_ascii=False, indent=4)}\n```" + ), + ] + ) + st.session_state["searcher_placeholder"].markdown( + st.session_state[node_info_key][-1][1] + ) + if ( + response["stream_state"] == AgentStatusCode.PLUGIN_RETURN + and st.session_state[node_info_key][-1][1] + ): + st.session_state[node_info_key].append(["thought", ""]) + if st.session_state["session_info_temp"]: + st.session_state["responses"][-1].append(st.session_state["session_info_temp"]) + st.session_state["session_info_temp"] = "" + # st.session_state['responses'][-1] = '\n'.join(st.session_state['responses'][-1]) + st.session_state["graphs_html"].append(graph_html) + st.session_state["nodes_list"].append(_nodes) + st.session_state["adjacency_list_list"].append(adjacency_list) + st.session_state["history"] = history + + +def display_chat_history(): + for i, query in enumerate(st.session_state["queries"][-1:]): + # with st.chat_message('assistant'): + if st.session_state["graphs_html"][i]: + with st.session_state["expander_placeholder"].expander("Show Graph", expanded=False): + st.session_state["graph_placeholder"]._html( + st.session_state["graphs_html"][i], height=500 + ) + with st.session_state["container_placeholder"].container(): + col1, col2 = st.session_state["columns_placeholder"].columns([2, 1]) + with col1: + st.session_state["planner_placeholder"].markdown( + st.session_state["responses"][-1][-1] + ) + with col2: + selected_node_key = st.session_state["already_used_keys"][-1] + st.session_state["selectbox_placeholder"] = st.empty() + selected_node = st.session_state["selectbox_placeholder"].selectbox( + "Select a node:", + list(st.session_state["nodes_list"][i].keys()), + key=f"replay_key_{i}", + index=list(st.session_state["nodes_list"][i].keys()).index( + st.session_state[selected_node_key] + ), + ) + st.session_state[selected_node_key] = selected_node + if ( + selected_node not in ["root", "response"] + and selected_node in st.session_state["nodes_list"][i] + ): + node_info_key = f"{selected_node}_info" + for item in st.session_state[node_info_key]: + if item[0] in ["thought", "answer"]: + st.session_state["searcher_placeholder"] = st.empty() + st.session_state["searcher_placeholder"].markdown(item[1]) + elif item[0] == "observation": + st.session_state["observation_expander"] = st.empty() + with st.session_state["observation_expander"].expander("Results"): + st.write(item[1]) + # st.session_state['searcher_placeholder'].markdown(st.session_state[node_info_key]) + + +def clean_history(): + st.session_state["queries"] = [] + st.session_state["responses"] = [] + st.session_state["graphs_html"] = [] + st.session_state["nodes_list"] = [] + st.session_state["adjacency_list_list"] = [] + st.session_state["history"] = [] + st.session_state["already_used_keys"] = list() + for k in st.session_state: + if k.endswith("placeholder") or k.endswith("_info"): + del st.session_state[k] + + +# Main function to run the Streamlit app +def main(): + st.sidebar.title("Model Control") + col1, col2 = st.columns([4, 1]) + with col1: + user_input = st.chat_input("Enter your query:") + with col2: + if st.button("Clear History"): + clean_history() + if user_input: + update_chat(user_input) + display_chat_history() + + +if __name__ == "__main__": + main() diff --git a/frontend/React/.gitignore b/frontend/React/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..f40e912a0a1f520e881861125dd84503ac5f63a3 --- /dev/null +++ b/frontend/React/.gitignore @@ -0,0 +1,25 @@ + +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js + +# testing +/coverage + +# production +/build + +# misc +.DS_Store +.env.local +.env.development.local +.env.test.local +.env.production.local + +npm-debug.log* +yarn-debug.log* +yarn-error.log* + \ No newline at end of file diff --git a/frontend/React/.prettierignore b/frontend/React/.prettierignore new file mode 100644 index 0000000000000000000000000000000000000000..040a24989943ac5f194acbde2d02c59497f8b801 --- /dev/null +++ b/frontend/React/.prettierignore @@ -0,0 +1,7 @@ +dist +deploy +values +node_modules +.gitignore +.prettierignore +.husky \ No newline at end of file diff --git a/frontend/React/.prettierrc.json b/frontend/React/.prettierrc.json new file mode 100644 index 0000000000000000000000000000000000000000..e5289f30286e4f2064f51b35eb404dc9abe654f5 --- /dev/null +++ b/frontend/React/.prettierrc.json @@ -0,0 +1,7 @@ +{ + "printWidth": 120, + "tabWidth": 4, + "singleQuote": true, + "quoteProps": "as-needed", + "bracketSpacing": true +} diff --git a/frontend/React/README.md b/frontend/React/README.md new file mode 100644 index 0000000000000000000000000000000000000000..6dcdf56519469ca43fa54565e0d88a3d81001ce5 --- /dev/null +++ b/frontend/React/README.md @@ -0,0 +1,184 @@ +# Notice +- If you leave the page (Make the page invisible) and come back again, it will cause sse to reconnect. +- the project requires Node.js version >= 18.0.0. + +# Prepare your dev-environment for frontend +[Node.js](https://nodejs.org/en)® is a free, open-source, cross-platform JavaScript runtime environment that lets developers create servers, web apps, command line tools and scripts. + +# Node.js Installation Guide (Windows, Linux, macOS) +## Windows Installation +- Step 1: Download Node.js + + 1. Open your web browser and visit the [Node.js official website](https://nodejs.org/en). + + 2. Navigate to the "Downloads" section. + + 3. Select the desired version (LTS recommended for long-term stability). As of August 2024, the latest LTS version might be v20.x.x. + + 4. Click on the "Windows Installer (.msi)" link to download the installation package. + +- Step 2: Install Node.js + + 1. Double-click the downloaded .msi file to start the installation wizard. + + 2. Click "Next" to proceed. + + 3. Read and accept the license agreement by checking the "I accept the terms in the License Agreement" box. + + 4. Click "Next" again and select the installation directory. It's recommended to change the default location to avoid installing in the C drive. + + 5. Continue clicking "Next" to use the default settings until you reach the "Install" button. + + 6. Click "Install" to start the installation process. + + 7. Wait for the installation to complete and click "Finish" to exit the installation wizard. + +- Step 3: Verify Installation + 1. Open the Command Prompt (cmd) by pressing `Win + R`, typing `cmd`, and pressing Enter. + 2. Type `node -v` and press Enter. You should see the installed Node.js version displayed. + 3. Type `npm -v` and press Enter to verify the installed npm version. npm is the package manager that comes bundled with Node.js. + +- Step 4: Configure npm Global Path (Optional) + If you want to change the default global installation path for npm, follow these steps: + +1. Open the Command Prompt (cmd) as an administrator. + +2. Navigate to your Node.js installation directory (e.g., C:\Program Files\nodejs). + +3. Create two new folders named node_global and node_cache. + +4. Run the following commands to set the new paths: + + ```bash + npm config set prefix "C:\Program Files\nodejs\node_global" + npm config set cache "C:\Program Files\nodejs\node_cache" + ``` + +5. Open the Environment Variables settings in the System Properties. +6. Add `C:\Program Files\nodejs\node_global` to the `PATH` variable under User Variables. +7. Optionally, create a new system variable named `NODE_PATH` and set its value to ` C:\Program Files\nodejs\node_global\node_modules`. + +## Linux Installation +- Step 1: Update Your System + Before installing Node.js, ensure your Linux system is up-to-date: + + ```bash + sudo apt-get update + sudo apt-get upgrade + ``` + +- Step 2: Install Dependencies + Node.js requires certain dependencies to function properly: + +```bash +sudo apt-get install build-essential libssl-dev +``` + +- Step 3: Download and Install Node.js + You can download the Node.js source code or use a package manager like `curl` or `wget` to download a pre-built binary. For simplicity, this guide assumes you're using a package manager. + +1. Navigate to the Node.js download page for package managers. + Follow the instructions for your Linux distribution. For example, on Ubuntu, you can use: + + ```bash + curl -fsSL https://deb.nodesource.com/setup_20.x | sudo -E bash - + sudo apt-get install -y nodejs + ``` + + Replace 20.x with the desired version number if you don't want the latest version. + +- Step 4: Verify Installation + 1. Open a terminal. + 2. Type `node -v` and press Enter to check the Node.js version. + 3. Type `npm -v` and press Enter to verify the npm version. + + +## Installing Node.js on macOS + +Installing Node.js on macOS is a straightforward process that can be accomplished using the official installer from the Node.js website or through package managers like Homebrew. This guide will cover both methods. + +### Method 1: Using the Official Installer +- Visit the Node.js Website + - Open your web browser and navigate to https://nodejs.org/. +- Download the Installer + - Scroll down to the "Downloads" section. + - Click on the "macOS Installer" button to download the .pkg file. Ensure you download the latest version, which as of August 2024, might be v20.x.x or higher. +- Install Node.js + - Once the download is complete, locate the .pkg file in your Downloads folder. + - Double-click the file to start the installation process. + - Follow the on-screen instructions. Typically, you'll need to agree to the license agreement, select an installation location (the default is usually fine), and click "Continue" or "Install" until the installation is complete. +- Verify the Installation + - Open the Terminal application by going to "Finder" > "Applications" > "Utilities" > "Terminal" or using Spotlight Search (press `Cmd + Space` and type "Terminal"). + - Type `node -v` and press Enter. This command should display the installed version of Node.js. + - Type `npm -v` and press Enter to verify that npm, the Node.js package manager, is also installed. + +### Method 2: Using Homebrew +If you prefer to use a package manager, Homebrew is a popular choice for macOS. + +- Install Homebrew (if not already installed) + + - Open the Terminal. + + - Copy and paste the following command into the Terminal and press Enter: + ```bash + /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" + ``` + + - Follow the on-screen instructions to complete the Homebrew installation. + +- Install Node.js with Homebrew + - Once Homebrew is installed, update your package list by running brew update in the Terminal. + - To install Node.js, run the following command in the Terminal: + ```bash + brew install node + ``` + - Homebrew will download and install the latest version of Node.js and npm. +- Verify the Installation + - As with the official installer method, you can verify the installation by typing node -v and npm -v in the Terminal and pressing Enter. + +### Additional Configuration (Optional) +- Configure npm's Global Installation Path (if desired): + - You may want to change the default location where globally installed npm packages are stored. Follow the steps outlined in the Node.js documentation or search for guides online to configure this. +- Switch to a Different Node.js Version (if needed): + - If you need to switch between multiple Node.js versions, consider using a version manager like nvm (Node Version Manager). Follow the instructions on the nvm GitHub page to install and use it. + + +By following these steps, you should be able to successfully install Node.js on your system. Remember to keep your Node.js and npm versions up-to-date to take advantage of the latest features and security updates. + +If your env has been prepared, you can + +# Installation and Setup Instructions + +## Installation +``` + npm install +``` + +## Start Server +``` + npm start +``` + +## Visit Server +``` + http://localhost:8080 +``` + +pay attention to the real port in your terminal.maybe it won`t be 8080. + +# Config +## How to modify the request URL + +- Open the file `vite.config.ts`, modify the target like: + + ``` + server: { + port: 8080, + proxy: { + "/solve": { + target: "{HOST}:{PORT}", + changeOrigin: true, + } + } + } + ``` \ No newline at end of file diff --git a/frontend/React/README_zh-CN.md b/frontend/React/README_zh-CN.md new file mode 100644 index 0000000000000000000000000000000000000000..1ec1810c880400ee130a592d5dc8da854b71d3b8 --- /dev/null +++ b/frontend/React/README_zh-CN.md @@ -0,0 +1,135 @@ +# Notice +问题回答过程中离开页面后再回到页面，会导致sse重连！ +# 开始 +## 请使用大于18.0.0的node版本 +## 准备node.js开发环境 +Node.js 是一个基于 Chrome V8 引擎的 JavaScript 运行环境，允许你在服务器端运行 JavaScript。以下是在 Windows、Linux 和 macOS 上安装 Node.js 的详细步骤。 + +### 在 Windows 上安装 Node.js +- 步骤 1: 访问 Node.js 官网 + +打开浏览器，访问 [Node.js](https://nodejs.org/zh-cn/download/prebuilt-installer) 官方网站。 + +- 步骤 2: 下载 Node.js 安装包 + +选择你需要的nodejs版本，设备的类型，点击下载，示例如下图： +![windows install](./windows-.png) + +- 步骤 3: 安装 Node.js + +双击下载的安装包开始安装。 + +跟随安装向导的指示进行安装。在安装过程中，你可以选择安装位置、是否将 Node.js 添加到系统 PATH 环境变量等选项。推荐选择“添加到 PATH”以便在任何地方都能通过命令行访问 Node.js。 +安装完成后，点击“Finish”结束安装。 + +- 步骤 4: 验证安装 + +打开命令提示符（CMD）或 PowerShell。 +输入 node -v 并回车，如果系统返回了 Node.js 的版本号，说明安装成功。 +接着，输入 npm -v 并回车，npm 是 Node.js 的包管理器，如果返回了版本号，表示 npm 也已正确安装。 + +### 在 Linux 上安装 Node.js +注意： 由于 Linux 发行版众多，以下以 Ubuntu 为例说明，其他发行版（如 CentOS、Debian 等）的安装方式可能略有不同，可自行查询对应的安装办法。 + +- 步骤 1: 更新你的包管理器 + +打开终端。 + +输入 sudo apt update 并回车，以更新 Ubuntu 的包索引。 + +- 步骤 2: 安装 Node.js + +对于 Ubuntu 18.04 及更高版本，Node.js 可以直接从 Ubuntu 的仓库中安装。 +输入 sudo apt install nodejs npm 并回车。 +对于旧版本的 Ubuntu 或需要安装特定版本的 Node.js，你可能需要使用如 NodeSource 这样的第三方仓库。 + +- 步骤 3: 验证安装 + +在终端中，输入 node -v 和 npm -v 来验证 Node.js 和 npm 是否已正确安装。 + +### 在 macOS 上安装 Node.js + +#### 下载安装 +- 步骤 1: 访问 Node.js 官网 + +打开浏览器，访问 Node.js 官方网站。 + +- 步骤 2: 下载 Node.js 安装包 + +在首页找到 macOS 对应的安装包（通常是 .pkg 文件），点击下载。 + +- 步骤 3: 安装 Node.js + +找到下载的 .pkg 文件，双击打开。 +跟随安装向导的指示进行安装。 +安装完成后，点击“Close”结束安装。 + +- 步骤 4: 验证安装 + +打开终端。 + +输入 node -v 和 npm -v 来验证 Node.js 和 npm 是否已正确安装。 + +#### 使用HomeBrew安装 +前提条件：确保你的macOS上已经安装了Homebrew。如果尚未安装，可以通过以下命令进行安装（以终端操作为例）： +``` + /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" +``` +按照提示输入密码以确认安装。安装过程中，可能需要你同意许可协议等。 + +- 打开终端： +在macOS上找到并打开“终端”应用程序。 + +- 使用Homebrew安装Node.js： +在终端中输入以下命令来安装最新版本的Node.js +``` + brew install node +``` +Homebrew会自动下载Node.js的安装包，并处理相关的依赖项和安装过程。你需要等待一段时间，直到安装完成。 + +- 验证安装： +安装完成后，你可以通过输入以下命令来验证Node.js是否成功安装： +``` + node -v +``` +如果终端输出了Node.js的版本号，那么表示安装成功。同时，你也可以通过输入npm -v来验证npm（Node.js的包管理器）是否也成功安装。 + +完成以上步骤后，你应该能在你的 Windows、Linux 或 macOS 系统上成功安装并运行 Node.js。 + +### 更多 +如需了解更多，可参照：https://nodejs.org/en + +如环境已经准备好，跳转下一步 + +## 安装依赖 +进入前端项目根目录 +``` + npm install +``` + +## 启动 +``` + npm start +``` + +启动成功后，界面将出现可访问的本地url + +## 配置 +### 接口请求配置 + +- 在vite.config.ts中配置proxy，示例如下： + + ``` + server: { + port: 8080, + proxy: { + "/solve": { + target: "{HOST}:{PORT}", + changeOrigin: true, + } + } + } + ``` + +## 知悉 +- 前端服务基于react开发，如需了解react相关知识，可参考：https://react.dev/ \ No newline at end of file diff --git a/frontend/React/index.html b/frontend/React/index.html new file mode 100644 index 0000000000000000000000000000000000000000..d4f0b7cbf7068b0070cd24ae09d59e17d6cb596b --- /dev/null +++ b/frontend/React/index.html @@ -0,0 +1,14 @@ + + + + + + + + + + +
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&& vite build", + "build:dev": "tsc && vite build --mode dev", + "build:staging": "tsc && vite build --mode staging", + "build:prod": "tsc && vite build --mode production", + "preview": "vite preview", + "prettier": "prettier --write ." + }, + "devDependencies": { + "@babel/plugin-proposal-optional-chaining": "^7.21.0", + "@types/classnames": "^2.3.1", + "@types/js-cookie": "^3.0.3", + "@types/node": "^18.15.11", + "@types/react": "^18.0.28", + "@types/react-dom": "^18.0.11", + "@vitejs/plugin-legacy": "^4.0.2", + "@vitejs/plugin-react": "^3.1.0", + "husky": "^9.0.11", + "less": "^4.1.3", + "lint-staged": "^15.2.7", + "prettier": "^3.0.0", + "react": "^18.2.0", + "react-dom": "^18.2.0", + "terser": "^5.16.9", + "typescript": "^4.9.3", + "vite": "^4.2.1", + "vite-babel-plugin": "^0.0.2" + }, + "dependencies": { + "@antv/x6": "^2.18.1", + "@microsoft/fetch-event-source": "^2.0.1", + "antd": "^5.18.3", + "axios": "^1.3.5", + "classnames": "^2.5.1", + "elkjs": "^0.9.3", + "js-cookie": "^3.0.1", + "react-markdown": "^9.0.1", + "react-router": "^6.11.2", + "react-router-dom": "^6.11.2", + "reactflow": "^11.11.3", + "rehype-raw": "^7.0.0" + }, + "lint-staged": { + "**/*.{ts, tsx, less, module.less, json, md, .html}": "prettier --write ." + } +} diff --git a/frontend/React/src/App.module.less b/frontend/React/src/App.module.less new file mode 100644 index 0000000000000000000000000000000000000000..3ba67bf84a5028ce11cf91daf58c273ffb14ab45 --- /dev/null +++ b/frontend/React/src/App.module.less @@ -0,0 +1,52 @@ +.app { + height: 100%; + display: flex; + justify-content: space-between; + background: url(./assets/background.png) rgb(247, 248, 255); + background-size: cover; + overflow: hidden; +} + +.content { + padding: 64px 0 16px 0; + width: 100%; + height: 100%; + box-sizing: border-box; +} + +.header { + position: fixed; + padding: 16px 32px; + width: 100%; + display: flex; + align-items: center; + box-sizing: border-box; + + &-nav { + flex: 1; + + img { + height: 40px; + } + + a { + display: inline-block; + text-decoration: none; + color: black; + + &:not(:first-of-type) { + margin-left: 40px; + } + + &.active { + font-weight: bold; + } + } + } + + &-opt { + flex-shrink: 0; + display: flex; + align-items: center; + } +} \ No newline at end of file diff --git a/frontend/React/src/App.tsx b/frontend/React/src/App.tsx new file mode 100644 index 0000000000000000000000000000000000000000..990ae735cc6b1255913cf3325b8ec30c9c44c241 --- /dev/null +++ b/frontend/React/src/App.tsx @@ -0,0 +1,25 @@ +import style from "./App.module.less"; + +import { BrowserRouter } from "react-router-dom"; +import RouterRoutes from "@/routes/routes"; +import Logo from "@/assets/logo.svg"; + +function App() { + return ( + +
+
+
+ +
+
+ +
+ +
+
+ + ); +} + +export default App; diff --git a/frontend/React/src/assets/background.png b/frontend/React/src/assets/background.png new file mode 100644 index 0000000000000000000000000000000000000000..3c732cb6bbf084415e5cc309934a144e9bc6b5eb Binary files /dev/null and b/frontend/React/src/assets/background.png differ diff --git a/frontend/React/src/assets/fold-icon.svg b/frontend/React/src/assets/fold-icon.svg new file mode 100644 index 0000000000000000000000000000000000000000..4268b8d691be4d6c719538d15e4734ad6b436e52 --- /dev/null +++ b/frontend/React/src/assets/fold-icon.svg @@ -0,0 +1,3 @@ + + + diff --git a/frontend/React/src/assets/logo.svg b/frontend/React/src/assets/logo.svg new file mode 100644 index 0000000000000000000000000000000000000000..45c8f0acce7996c928cae1871f6f50b9b25ee9b2 --- /dev/null +++ b/frontend/React/src/assets/logo.svg @@ -0,0 +1,24 @@ + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/frontend/React/src/assets/pack-up.svg b/frontend/React/src/assets/pack-up.svg new file mode 100644 index 0000000000000000000000000000000000000000..15c53a9cfc70f0145475d917a3b3bd32036afd4d --- /dev/null +++ b/frontend/React/src/assets/pack-up.svg @@ -0,0 +1,4 @@ + + + + diff --git a/frontend/React/src/assets/sendIcon.svg b/frontend/React/src/assets/sendIcon.svg new file mode 100644 index 0000000000000000000000000000000000000000..6570d0ea805d9249d3e38c91248a28850926df75 --- /dev/null +++ b/frontend/React/src/assets/sendIcon.svg @@ -0,0 +1,4 @@ + + + + diff --git a/frontend/React/src/assets/show-right-icon.png b/frontend/React/src/assets/show-right-icon.png new file mode 100644 index 0000000000000000000000000000000000000000..e10f112d27c422825730433607aa7a195607c5c4 Binary files /dev/null and b/frontend/React/src/assets/show-right-icon.png differ diff --git a/frontend/React/src/assets/unflod-icon.svg b/frontend/React/src/assets/unflod-icon.svg new file mode 100644 index 0000000000000000000000000000000000000000..55428281c7aca88f2e7139385cc3321bf6fb4cc5 --- /dev/null +++ b/frontend/React/src/assets/unflod-icon.svg @@ -0,0 +1,3 @@ + + + diff --git a/frontend/React/src/global.d.ts b/frontend/React/src/global.d.ts new file mode 100644 index 0000000000000000000000000000000000000000..8bb1c8044274233c5326da8dc026430a3a75d71e --- /dev/null +++ b/frontend/React/src/global.d.ts @@ -0,0 +1 @@ +declare module 'event-source-polyfill'; \ No newline at end of file diff --git a/frontend/React/src/index.less b/frontend/React/src/index.less new file mode 100644 index 0000000000000000000000000000000000000000..f48ba612b38d44c2d54eeef18fc78a8991717fde --- /dev/null +++ b/frontend/React/src/index.less @@ -0,0 +1,62 @@ +body, +html, +#root { + padding: 0; + margin: 0; + width: 100%; + height: 100%; + font-family: "PingFang SC"; + font-size: 14px; + line-height: 21px; +} + +#global__message-container { + position: fixed; + left: 0; + right: 0; + top: 72px; + z-index: 999; + display: flex; + flex-direction: column; + justify-content: center; + align-items: center; +} + +.f { + color: #6674D6; + font-family: DIN; + font-size: 12px; + font-style: normal; + font-weight: 500; + line-height: 14px; + position: relative; + top: -4px; + padding: 0 3px; + + &::after { + content: '·'; + position: absolute; + top: 0; + right: -2px; + color: #6674D6; + } +} + +p> :nth-last-child(1).f, +li> :nth-last-child(1).f { + &::after { + content: ''; + opacity: 0; + } +} + +.fnn2 { + color: #6674D6; + font-family: DIN; + font-size: 14px; + font-style: normal; + font-weight: 500; + line-height: 14px; + position: relative; + top: -2px; +} \ No newline at end of file diff --git a/frontend/React/src/index.tsx b/frontend/React/src/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..d73ff23c1d511b1f011af8b9926486a11bacc79e --- /dev/null +++ b/frontend/React/src/index.tsx @@ -0,0 +1,10 @@ +import React from "react"; +import ReactDOM from "react-dom/client"; +import "./index.less"; +import App from "./App"; + +ReactDOM.createRoot(document.getElementById("root") as HTMLElement).render( + + + , +); diff --git a/frontend/React/src/pages/mindsearch/assets/bookmark-icon.svg b/frontend/React/src/pages/mindsearch/assets/bookmark-icon.svg new file mode 100644 index 0000000000000000000000000000000000000000..f5d688881764b81718b4877f9d4c62d0755c1478 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/assets/bookmark-icon.svg @@ -0,0 +1,4 @@ + + + + diff --git a/frontend/React/src/pages/mindsearch/assets/empty-chat-right.svg b/frontend/React/src/pages/mindsearch/assets/empty-chat-right.svg new file mode 100644 index 0000000000000000000000000000000000000000..6057c0cba0e2e3c6d7a52c07c40ed17fccf8c04f --- /dev/null +++ b/frontend/React/src/pages/mindsearch/assets/empty-chat-right.svg @@ -0,0 +1,52 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/frontend/React/src/pages/mindsearch/assets/fold-icon.svg b/frontend/React/src/pages/mindsearch/assets/fold-icon.svg new file mode 100644 index 0000000000000000000000000000000000000000..4268b8d691be4d6c719538d15e4734ad6b436e52 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/assets/fold-icon.svg @@ -0,0 +1,3 @@ + + + diff --git a/frontend/React/src/pages/mindsearch/assets/logo.svg b/frontend/React/src/pages/mindsearch/assets/logo.svg new file mode 100644 index 0000000000000000000000000000000000000000..45c8f0acce7996c928cae1871f6f50b9b25ee9b2 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/assets/logo.svg @@ -0,0 +1,24 @@ + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/frontend/React/src/pages/mindsearch/assets/logo1.svg b/frontend/React/src/pages/mindsearch/assets/logo1.svg new file mode 100644 index 0000000000000000000000000000000000000000..535164348c0575893ab293d056d5886b7923806c --- /dev/null +++ b/frontend/React/src/pages/mindsearch/assets/logo1.svg @@ -0,0 +1,32 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/frontend/React/src/pages/mindsearch/assets/mindsearch-avatar.svg b/frontend/React/src/pages/mindsearch/assets/mindsearch-avatar.svg new file mode 100644 index 0000000000000000000000000000000000000000..1c6eb040085866c182951d7c7357c9a4056c193e --- /dev/null +++ b/frontend/React/src/pages/mindsearch/assets/mindsearch-avatar.svg @@ -0,0 +1,17 @@ + + + + + + + + + + + + + + + + + diff --git a/frontend/React/src/pages/mindsearch/assets/pack-up-disabled.svg b/frontend/React/src/pages/mindsearch/assets/pack-up-disabled.svg new file mode 100644 index 0000000000000000000000000000000000000000..d1620eeab66d3bf53b3db0f831c596f54d2520e8 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/assets/pack-up-disabled.svg @@ -0,0 +1,3 @@ + + + diff --git a/frontend/React/src/pages/mindsearch/assets/pack-up.svg b/frontend/React/src/pages/mindsearch/assets/pack-up.svg new file mode 100644 index 0000000000000000000000000000000000000000..c76af2075d645cdf2f27cb8a1fc0cab1ed718b9f --- /dev/null +++ b/frontend/React/src/pages/mindsearch/assets/pack-up.svg @@ -0,0 +1,5 @@ + + + + + diff --git a/frontend/React/src/pages/mindsearch/assets/sendIcon.svg b/frontend/React/src/pages/mindsearch/assets/sendIcon.svg new file mode 100644 index 0000000000000000000000000000000000000000..6570d0ea805d9249d3e38c91248a28850926df75 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/assets/sendIcon.svg @@ -0,0 +1,4 @@ + + + + diff --git a/frontend/React/src/pages/mindsearch/assets/think-progress-icon.svg b/frontend/React/src/pages/mindsearch/assets/think-progress-icon.svg new file mode 100644 index 0000000000000000000000000000000000000000..73ebf9b4eca3794448c323a6368ad0541c2d717c --- /dev/null +++ b/frontend/React/src/pages/mindsearch/assets/think-progress-icon.svg @@ -0,0 +1,15 @@ + + + + + + + + + + + + + + + diff --git a/frontend/React/src/pages/mindsearch/assets/unflod-icon.svg b/frontend/React/src/pages/mindsearch/assets/unflod-icon.svg new file mode 100644 index 0000000000000000000000000000000000000000..55428281c7aca88f2e7139385cc3321bf6fb4cc5 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/assets/unflod-icon.svg @@ -0,0 +1,3 @@ + + + diff --git a/frontend/React/src/pages/mindsearch/components/answer/index.module.less b/frontend/React/src/pages/mindsearch/components/answer/index.module.less new file mode 100644 index 0000000000000000000000000000000000000000..a4df3ba89163aa6069af2cedc13df69dc17b8a37 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/answer/index.module.less @@ -0,0 +1,110 @@ +.answer { + display: flex; + justify-content: flex-start; + align-items: flex-start; + width: 100%; + + .avatar { + width: 32px; + height: 32px; + margin-right: 16px; + border-radius: 50%; + flex-shrink: 0; + + img { + width: 100%; + } + } + + .reaponseAarea { + display: flex; + flex-direction: column; + width: calc(100% - 48px); + background-color: #F4F5F9; + padding: 12px 16px; + border-radius: 16px; + overflow-x: hidden; + } + + .inner { + width: 100%; + overflow-x: hidden; + background-color: #fff; + border-radius: 16px; + border: 1px solid var(----line-2, #EBECF0); + box-sizing: border-box; + transition: all 0.5s ease; + margin-bottom: 16px; + position: relative; + } + + .graphIcon { + padding: 2px 8px; + display: flex; + justify-content: center; + align-items: center; + border-radius: 8px; + border: 1px solid var(----line-2, #EBECF0); + background: var(---fill-0, #FFF); + color: #121316CC; + font-size: 14px; + line-height: 24px; + cursor: pointer; + + svg { + margin-left: 4px; + } + + &:hover { + background-color: #D7D8DD; + color: #121316CC; + + svg path { + fill: #121316CC; + } + } + } + + .showGraph { + width: 118px; + margin-bottom: 16px; + border-radius: 8px; + border: 1px solid var(----line-2, #EBECF0); + background: var(---fill-0, #FFF); + } + + .closeGraph { + position: absolute; + right: 12px; + bottom: 12px; + } + + .reaponse { + color: #121316; + font-size: 14px; + line-height: 24px; + padding: 18px 42px; + } + + // h3 { + // font-size: 24px; + // font-weight: 600; + // line-height: 36px; + // margin: 0 0 16px 0; + // } + + // h4 { + // font-size: 20px; + // font-weight: 600; + // line-height: 30px; + // margin: 0 0 8px 0; + // } +} + +.draft { + width: 100%; + white-space: wrap; + display: flex; + justify-content: flex-start; + align-items: flex-start; +} \ No newline at end of file diff --git a/frontend/React/src/pages/mindsearch/components/answer/index.tsx b/frontend/React/src/pages/mindsearch/components/answer/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..131216a40fa4ec0f2df8b1ea420be5649ae58841 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/answer/index.tsx @@ -0,0 +1,108 @@ +import styles from './index.module.less'; +import MindMapGraph from '../mind-map'; +import { MindsearchContext } from '../../provider/context'; +import MindSearchAvatar from '../../assets/mindsearch-avatar.svg'; +import CustomMarkdown from '../custom-markdown'; +import { useState, useEffect, useContext } from 'react'; +import classNames from 'classnames'; + +interface IProps { + adjList: any; + isEnd: boolean; + response: string; + refList: any; + listId: number; + question: string; + handleNodeClick: (info: any, idx: number) => void; +} + +const Answer = ({ refList = null, adjList, isEnd, response = '', listId, handleNodeClick, question = '' }: IProps) => { + const { chatIsOver } = useContext(MindsearchContext); + const [showGraph, setShowGraph] = useState(true); + // 整体的渲染树 + const [renderData, setRenderData] = useState([]); + + const toggleGraph = () => { + setShowGraph(!showGraph); + }; + + const handleClick = (node: string) => { + handleNodeClick(node, listId); + }; + + const generateMapData = (arr: []) => { + const tempArr: any[] = arr.map((item: { name: string; id: number; state: number }) => { + if (item.name && adjList[item.name]) { + return { + ...item, + children: generateMapData(adjList?.[item.name]), + }; + } + }); + return tempArr; + }; + + const convertTreeData = () => { + const root: any = { + id: 0, + name: '原始问题', + state: 3, + children: generateMapData(adjList?.root || []), + }; + + // 返回包含根节点的数组 + // console.log('renderData-----------', [root]); + setRenderData([root]); + }; + + useEffect(() => { + if (!adjList || Object.keys(adjList)?.length < 2) { + setRenderData([]); + return; + }; + convertTreeData(); + }, [adjList]); + + return
+
+ mindsearch-avatar +
+
+ { + showGraph ? <> + { + (renderData?.length > 0) &&
+ +
+ 收起 + + + +
+
+ } + + :
+ 查看思考节点 + + + +
+ } + + {response && ( +
+ +
+ )} +
+
+}; + +export default Answer; diff --git a/frontend/React/src/pages/mindsearch/components/answer/loading-animation/index.module.less b/frontend/React/src/pages/mindsearch/components/answer/loading-animation/index.module.less new file mode 100644 index 0000000000000000000000000000000000000000..6ecaa90255716915f706ea4cc1425eff09000e99 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/answer/loading-animation/index.module.less @@ -0,0 +1,47 @@ +.loading, +.loading > div { + position: relative; + box-sizing: border-box; +} + +.loading { + display: flex; + justify-content: center; + align-items: center; + font-size: 0; + color: #fff; + background-color: #f90; + width: 20px; + height: 20px; + border-radius: 50%; + margin-right: 3px; + flex-shrink: 0; + margin-top: 4px; +} + +.loading > div { + display: inline-block; + float: none; + background-color: currentColor; + border: 0 solid currentColor; +} + +.loading > div:nth-child(1) { + animation-delay: -200ms; +} + +.loading > div:nth-child(2) { + animation-delay: -100ms; +} + +.loading > div:nth-child(3) { + animation-delay: 0ms; +} + +.loading > div { + width: 3px; + height: 3px; + margin: 2px 1px; + border-radius: 100%; + animation: ball-pulse 1s ease infinite; +} diff --git a/frontend/React/src/pages/mindsearch/components/answer/loading-animation/index.tsx b/frontend/React/src/pages/mindsearch/components/answer/loading-animation/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..a470734932cb3bc46d839320695df63dd1a73b4b --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/answer/loading-animation/index.tsx @@ -0,0 +1,13 @@ +import styles from './index.module.less'; + +const LoadingAnimation = () => { + return ( +
+
+
+
+
+ ); +}; + +export default LoadingAnimation; diff --git a/frontend/React/src/pages/mindsearch/components/chat-right/components/empty-placeholder/index.module.less b/frontend/React/src/pages/mindsearch/components/chat-right/components/empty-placeholder/index.module.less new file mode 100644 index 0000000000000000000000000000000000000000..7abee9a1f1a02a4de70fcfcf3a0473cf41cdbbcc --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/chat-right/components/empty-placeholder/index.module.less @@ -0,0 +1,27 @@ +.emptyDiv { + width: 280px; + height: 100%; + margin: auto; + display: flex; + justify-content: center; + align-items: center; + flex-direction: column; + + .pic { + margin-bottom: 8px; + } + + p { + color: var(--80-text-4, rgba(18, 19, 22, 0.80)); + text-align: center; + font-feature-settings: 'liga' off, 'clig' off; + + /* 段落正文/常规text-1-paragraph-regular */ + font-family: "PingFang SC"; + font-size: 14px; + font-style: normal; + font-weight: 400; + line-height: 24px; + /* 171.429% */ + } +} \ No newline at end of file diff --git a/frontend/React/src/pages/mindsearch/components/chat-right/components/empty-placeholder/index.tsx b/frontend/React/src/pages/mindsearch/components/chat-right/components/empty-placeholder/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..b7b20386dc27ebf761d90e537f1d619982d34609 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/chat-right/components/empty-placeholder/index.tsx @@ -0,0 +1,17 @@ +import styles from './index.module.less'; +import EmptyRightChatImg from '../../../../assets/empty-chat-right.svg'; + +const EmptyPlaceHolder = () => { + return <> +
+
+ +
+

+ 请在节点图中选择节点后查看哦~ +

+
+ +}; + +export default EmptyPlaceHolder; \ No newline at end of file diff --git a/frontend/React/src/pages/mindsearch/components/chat-right/components/query-item/index.module.less b/frontend/React/src/pages/mindsearch/components/chat-right/components/query-item/index.module.less new file mode 100644 index 0000000000000000000000000000000000000000..02b8bdee68122748fa0e2916e260c66b7048688e --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/chat-right/components/query-item/index.module.less @@ -0,0 +1,30 @@ +.query { + &-Item { + display: inline-flex; + padding: 6px 12px 6px 0; + margin-right: 12px; + margin-bottom: 8px; + color: rgba(18, 19, 22, 0.8); + font-size: 14px; + line-height: 24px; + box-sizing: border-box; + overflow: hidden; + position: relative; + + &:last-child { + &::after { + display: none; + } + } + + &::after { + position: absolute; + right: 0; + top: 10px; + width: 1px; + height: 16px; + border-right: 1px solid #ebecf0; + content: ''; + } + } +} \ No newline at end of file diff --git a/frontend/React/src/pages/mindsearch/components/chat-right/components/query-item/index.tsx b/frontend/React/src/pages/mindsearch/components/chat-right/components/query-item/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..5a6888f668645f020606eb6a3f21c5d9c9a93284 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/chat-right/components/query-item/index.tsx @@ -0,0 +1,11 @@ +import classNames from 'classnames'; +import styles from './index.module.less'; + +interface IQueryItemProps { + item: string; +} +const QueryItem = ({ item }: IQueryItemProps) => { + return
{item}
; +}; + +export default QueryItem; diff --git a/frontend/React/src/pages/mindsearch/components/chat-right/components/search-item/index.module.less b/frontend/React/src/pages/mindsearch/components/chat-right/components/search-item/index.module.less new file mode 100644 index 0000000000000000000000000000000000000000..43383e8c6794d093dd3d5e619f992b4bc426d681 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/chat-right/components/search-item/index.module.less @@ -0,0 +1,101 @@ +.searchItem { + border-radius: 12px; + margin-bottom: 4px; + padding: 8px; + transition: all 0.5s ease-in-out; + display: flex; + justify-content: flex-start; + align-items: flex-start; + cursor: pointer; + + .inner { + width: 100%; + overflow: hidden; + } + + &:hover { + background-color: #ebecf0; + } + + .num { + color: var(--60-text-3, rgba(18, 19, 22, 0.6)); + font-size: 12px; + font-weight: 600; + line-height: 18px; + margin-right: 7px; + } + + p { + white-space: wrap; + max-width: 95%; + overflow: hidden; + text-overflow: ellipsis; + margin: 0 !important; + } + + // .origin { + // display: flex; + // justify-content: flex-start; + // align-items: center; + // margin-bottom: 2px; + + // .icon { + // width: 16px; + // height: 16px; + // border-radius: 4px; + // background-color: #6f7f9b; + // margin-right: 2px; + // } + + // span { + // color: var(--60-text-3, rgba(18, 19, 22, 0.60)); + // font-size: 12px; + // font-weight: 400; + // line-height: 18px; + // } + // } + + p.title { + overflow: hidden; + color: var(---Brand1-5, #3477eb); + text-overflow: ellipsis; + font-size: 14px; + line-height: 24px; + margin-bottom: 2px; + font-weight: normal; + + a { + text-decoration: none; + color: var(---Brand1-5, #3477eb); + font-weight: normal; + } + } + + p.url { + color: var(--60-text-3, rgba(18, 19, 22, 0.6)); + font-size: 12px; + line-height: 18px; + height: 18px; + overflow: hidden; + } + + p.summ { + color: rgba(18, 19, 22, 0.8); + font-size: 13px; + line-height: 20px; + white-space: wrap; + display: -webkit-box; + -webkit-box-orient: vertical; + -webkit-line-clamp: 2; + overflow: hidden; + text-overflow: ellipsis; + } + + &.highLight { + background: var(--brand-11, #e6f2ff); + + &:hover { + background-color: #b3d6ff; + } + } +} diff --git a/frontend/React/src/pages/mindsearch/components/chat-right/components/search-item/index.tsx b/frontend/React/src/pages/mindsearch/components/chat-right/components/search-item/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..aa215dc67c2feeccd60d6ca29f58f6bed0119dae --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/chat-right/components/search-item/index.tsx @@ -0,0 +1,30 @@ +import classNames from 'classnames'; +import styles from './index.module.less'; + +interface ISearchItemProps { + item: any; +} + +const SearchItem = ({ item }: ISearchItemProps) => { + const openLink = (url: string) => { + window.open(url); + }; + return ( +
{ + openLink(item.url); + }} + > +
{item.id}
+
+

{item?.url}

+

{item?.title}

+

{item?.summ}

+
+
+ ); +}; + +export default SearchItem; diff --git a/frontend/React/src/pages/mindsearch/components/chat-right/index.module.less b/frontend/React/src/pages/mindsearch/components/chat-right/index.module.less new file mode 100644 index 0000000000000000000000000000000000000000..d0fd3448f90c405b0bb7b2760e8749cc28265370 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/chat-right/index.module.less @@ -0,0 +1,231 @@ +.rightContent { + width: 44.44%; + max-width: 800px; + flex-shrink: 0; + box-sizing: border-box; + padding: 24px 0 24px 24px; + border-radius: 16px; + border: 1px solid var(----line-2, #ebecf0); + background: var(---fill-0, #fff); + height: 100%; + overflow: hidden; + position: relative; + display: flex; + justify-content: flex-start; + flex-direction: column; + + .toggleIcon { + position: absolute; + right: 24px; + top: 28px; + cursor: pointer; + } + + .titleNode { + color: #121316; + font-size: 24px; + font-weight: 600; + line-height: 30px; + margin-bottom: 32px; + max-width: calc(100% - 40px); + } + + .nodeInfo { + height: 100%; + overflow-y: auto; + padding-right: 24px; + + &.forbidScroll { + overflow-y: hidden; + } + + &::-webkit-scrollbar { + width: 6px; + } + + &::-webkit-scrollbar-track { + background-color: rgba(255, 255, 255, 0); + border-radius: 100px; + } + + &::-webkit-scrollbar-thumb { + background-color: rgba(255, 255, 255, 0); + border-radius: 100px; + } + } + + .conclusion { + padding-top: 8px; + color: #121316; + font-size: 14px; + line-height: 24px; + + ul { + padding-left: 24px; + } + } + + .steps { + .title { + color: var(--100-text-5, #121316); + font-size: 20px; + font-weight: 600; + line-height: 30px; + display: flex; + justify-content: flex-start; + align-items: center; + position: relative; + + .open { + position: absolute; + right: 0; + font-size: 20px; + font-weight: normal; + cursor: pointer; + + span { + color: #121316; + // opacity: 0.6; + } + } + + i { + width: 12px; + height: 12px; + border-radius: 50%; + background-color: #3477EB; + margin-right: 12px; + } + } + + &.thinking, + &.select { + margin-bottom: 24px; + } + + &.select { + .searchList { + margin-top: 0 !important; + border-radius: 8px; + background: var(--fill-2, #f4f5f9); + padding: 8px; + } + } + + .con { + margin-left: 5px; + padding-top: 12px; + padding-left: 15px; + margin-bottom: 24px; + border-left: 1px solid #D7D8DD; + height: auto; + + &.limitHeight { + max-height: calc(100vh - 320px); + overflow-y: auto; + + &::-webkit-scrollbar { + width: 6px; + } + + &::-webkit-scrollbar-track { + background-color: rgba(255, 255, 255, 0); + border-radius: 100px; + } + + &::-webkit-scrollbar-thumb { + background-color: rgba(255, 255, 255, 0); + border-radius: 100px; + } + } + + .draft { + margin-bottom: 20px; + } + + p { + margin: 0; + line-height: 24px; + } + + &.collapsed { + overflow: hidden; + height: 0; + padding-top: 24px; + margin-bottom: 0 !important; + + // transition: all 1s; + + } + } + + &:last-child { + .collapsed { + padding-top: 0; + } + } + } + + .query, + >.searchList { + margin-top: 24px; + margin-bottom: 24px; + } + + .subTitle { + color: var(--100-text-5, #121316); + font-size: 14px; + font-weight: 600; + line-height: 24px; + margin-bottom: 12px; + + span { + margin-right: 4px; + } + } + + .searchList { + margin-top: 0 !important; + border-radius: 16px; + background: var(--fill-2, #f4f5f9); + padding: 8px; + } + + .searchList { + .thought { + color: rgba(18, 19, 22, 0.8); + font-size: 14px; + line-height: 24px; + margin-bottom: 16px; + } + + .scrollCon { + padding-right: 6px; + height: auto; + max-height: 542px; + overflow-y: auto; + position: relative; + } + + .scrollCon::-webkit-scrollbar { + width: 6px; + } + + .scrollCon::-webkit-scrollbar-track { + background-color: rgba(255, 255, 255, 0); + border-radius: 100px; + } + + .scrollCon::-webkit-scrollbar-thumb { + background-color: #ebecf0; + border-radius: 20px; + } + + .inner { + width: 100%; + border-radius: 8px; + transition: all 0.5s ease; + box-sizing: border-box; + } + } +} \ No newline at end of file diff --git a/frontend/React/src/pages/mindsearch/components/chat-right/index.tsx b/frontend/React/src/pages/mindsearch/components/chat-right/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..7ba9fc21e8955735925bbb4653a56fd9a48d1487 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/chat-right/index.tsx @@ -0,0 +1,272 @@ +import { useEffect, useState, useRef } from 'react'; +import styles from './index.module.less'; +import classNames from 'classnames'; +import CustomMarkdown from '../custom-markdown'; +import IconFont from '../iconfont'; +import PackIcon from '../../assets/pack-up.svg'; +import PackDisableIcon from '../../assets/pack-up-disabled.svg'; +import { Tooltip } from 'antd'; +import QueryItem from './components/query-item'; +import SearchItem from './components/search-item'; +import Loading from '../loading'; +import EmptyPlaceHolder from './components/empty-placeholder'; + +interface IProps { + nodeInfo: any; + stashInfo?: any; + historyNode?: any; + toggleRight: () => void; + chatIsOver?: Boolean; +} + +const ChatRight = ({ nodeInfo, historyNode = null, toggleRight, chatIsOver = false }: IProps) => { + const [subQuestion, setSubQuestion] = useState(''); + const [queries, setQuries] = useState([]); + const [searchList, setSearchList] = useState([]); + const [conclusionRef, setConclusionRef] = useState(null); + const [isLoading, setIsLoading] = useState(false); + const [selectedIds, setSelectedIds] = useState([]); + const [currentStep, setCurrentStep] = useState(0); + const [conclusion, setConclusion] = useState(''); + const [thinkingData, setThinking] = useState(null); + const [readingData, setReading] = useState(null); + const [isOutputing, setIsOutputing] = useState(false); + + // steps展开收起的信息 + const [collapseInfo, setCollapseInfo] = useState([true, true, true]); + const [currentNode, setCurrentNode] = useState(); + // 展开收起 + const toggleCard = (index: number) => { + const arr = [...collapseInfo]; + arr[index] = !arr[index]; + setCollapseInfo(arr); + }; + // 高亮searchList + const highLightSearchList = (ids: any) => { + setCurrentStep(2); + const highlightArr: any = [...searchList]; + highlightArr.forEach((item: any) => { + if (ids.includes(Number(item.id))) { + item.highLight = true; + } + }); + highlightArr.sort((item1: any, item2: any) => { + if (item1.highLight === item2.highLight) { + return 0; + } + // 如果item1是highlight，放在前面 + if (item1.highLight) { + return -1; + } + // 如果item2是highlight，放在后面 + return 1; + }); + setSearchList(highlightArr); + setCollapseInfo([false, false, true]); + }; + + const handleReceiveHistory = () => { + setCurrentNode(2); + setCollapseInfo([false, false, true]); + setIsLoading(false); + setThinking(historyNode.thinkingData); + setConclusion(historyNode.conclusion); + setReading(historyNode.readingData); + setQuries(historyNode.queries); + setSearchList(historyNode.searchList); + setConclusionRef(historyNode.conclusionRef); + setSelectedIds(historyNode.selectedIds); + setSubQuestion(historyNode.subQuestion); + }; + + const resetStatus = () => { + // 初始化组件状态 + console.log('reset status-------'); + setCurrentStep(0); + setCollapseInfo([true, true, true]); + setSelectedIds([]); + setSearchList([]); + setConclusionRef(null); + setThinking(null); + setReading(null); + setConclusion(''); + setSubQuestion(''); + }; + + const hideRight = () => { + if (isOutputing) return; + toggleRight(); + }; + + useEffect(() => { + if (!historyNode) return; + handleReceiveHistory(); + }, [historyNode]); + + useEffect(() => { + if (!selectedIds.length) return; + highLightSearchList(selectedIds); + }, [selectedIds]); + + useEffect(() => { + if (historyNode) return; // 有历史记录，不处理 + try { + if (nodeInfo?.current_node !== currentNode) { + setCurrentNode(nodeInfo?.current_node); + resetStatus(); + } + setIsOutputing(nodeInfo?.outputing); + if (!subQuestion && nodeInfo?.subQuestion) { + setSubQuestion(nodeInfo.subQuestion); + } + if (nodeInfo?.thinkingData) { + setThinking(nodeInfo.thinkingData); + } + if (nodeInfo?.readingData) { + setReading(nodeInfo.readingData); + } + if (nodeInfo?.queries?.length) { + setQuries(nodeInfo.queries); + } + if (nodeInfo?.searchList && !searchList?.length) { + setSearchList(nodeInfo.searchList); + setCurrentStep(1); + setCollapseInfo([false, true, true]); + } + if (nodeInfo?.selectedIds && !selectedIds?.length) { + setSelectedIds(nodeInfo.selectedIds); + } + if (nodeInfo?.conclusion) { + setConclusion(nodeInfo.conclusion); + } + if (nodeInfo?.conclusionRef) { + setConclusionRef(nodeInfo.conclusionRef); + } + } catch (err) { + console.log('[chat right]--error from nodeinfo---', err); + } + }, [nodeInfo, currentStep]); + + return
+
+ +
+ { + currentNode ? <> +
{subQuestion}
+
+ {thinkingData && ( +
+
+ 思考 +
{ + toggleCard(0); + }} + > + +
+
+
+
+ +
+ {queries.length > 0 && ( +
+
+ + 搜索关键词 +
+ {queries.map((item: string, index: number) => ( + + ))} +
+ )} + {searchList.length > 0 && currentStep === 0 && ( +
+
+ + 信息来源 +
+
5 ? { height: '542px' } : {}}> +
5 ? {} : {}}> + {searchList.map((item: any) => ( + + ))} +
+
+
+ )} +
+
+ )} + {currentStep > 0 && readingData && ( +
+
+ 信息来源 +
{ + toggleCard(1); + }} + > + +
+
+
+
+ +
+ {searchList.length > 0 && ( +
+
5 ? { height: '542px' } : {}}> +
5 ? {} : {}}> + {searchList.map((item: any) => ( + + ))} +
+
+
+ )} +
+
+ )} + { + conclusion && ( +
+
+ 信息整合 +
{ + toggleCard(2); + }} + > + +
+
+
+
+ +
+
+
+ )} + {isLoading && } +
: + } +
+}; + +export default ChatRight; diff --git a/frontend/React/src/pages/mindsearch/components/custom-markdown/index.module.less b/frontend/React/src/pages/mindsearch/components/custom-markdown/index.module.less new file mode 100644 index 0000000000000000000000000000000000000000..2cb64242d3631235a42d807ea7a82239a0886e40 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/custom-markdown/index.module.less @@ -0,0 +1,168 @@ +.markdownCon { + display: flex; + flex-direction: column; + justify-content: flex-start; + + h1 { + font-size: 26px; + } + + h2 { + font-size: 24px; + } + + h3 { + font-size: 20px; + } + + h4 { + font-size: 18px; + } + + h5, + h6 { + font-size: 16px; + } + + p { + color: rgba(18, 19, 22, 0.8); + font-size: 16px; + font-weight: 400; + line-height: 28px; + margin: 0 0 16px 0; + } + + ul { + margin-bottom: 8px; + padding-left: 22px; + } + + li { + color: rgba(18, 19, 22, 0.8); + font-size: 16px; + font-weight: 400; + line-height: 28px; + + p { + margin-bottom: 4px; + } + } + + >p:last-child { + margin-bottom: 0; + } +} + +.footerFlag { + width: 18px; + height: 18px; + display: inline-flex; + justify-content: center; + align-items: center; + border-radius: 4px; + background: var(--fill-2, #f4f5f9); + color: var(--35-text-2, rgba(18, 19, 22, 0.35)); + font-size: 12px; + font-weight: 600; + margin-left: 2px; + cursor: pointer; + font-style: normal; + + /* 150% */ + &:hover { + background: var(---Brand1-5, #3477eb); + color: #fff; + + svg path { + fill: #fff; + fill-opacity: 1; + } + } +} + +// .mergeQuoLi { +// margin-bottom: 12px; +// } + +li { + cursor: pointer; + + .url { + color: var(--60-text-3, rgba(18, 19, 22, 0.6)); + font-size: 12px; + font-weight: 400; + line-height: 18px; + max-width: 100%; + height: 18px; + overflow: hidden; + text-overflow: ellipsis; + } + + .title { + color: var(---Brand1-5, #3477eb); + font-size: 14px; + line-height: 21px; + } + + .summ { + white-space: wrap; + display: -webkit-box; + -webkit-box-orient: vertical; + -webkit-line-clamp: 2; + overflow: hidden; + text-overflow: ellipsis; + } +} + +.line { + margin: 4px 8px; + border: 1px solid #ebecf0; + transform: scaleY(0.5); +} + +:global { + .iQuoPopover { + max-width: 420px; + } + + .mergeQuoPopover { + border-radius: 12px; + border: 1px solid var(----line-2, #ebecf0); + background: var(---fill-0, #fff); + box-shadow: 1px 3px 8px 0px rgba(0, 0, 0, 0.06); + max-height: 240px; + max-width: 420px; + overflow-y: auto; + + .ant-popover-inner { + padding: 8px !important; + } + + .ant-popover-inner-content .line:last-child { + display: none; + } + + li { + border-radius: 8px; + padding: 8px; + + &:hover { + background-color: #f4f5f9; + } + } + } + + .mergeQuoPopover::-webkit-scrollbar { + width: 6px; + } + + .mergeQuoPopover::-webkit-scrollbar-track { + background-color: rgba(255, 255, 255, 0); + border-radius: 100px; + } + + .mergeQuoPopover::-webkit-scrollbar-thumb { + background-color: #ebecf0; + border-radius: 20px; + } +} \ No newline at end of file diff --git a/frontend/React/src/pages/mindsearch/components/custom-markdown/index.tsx b/frontend/React/src/pages/mindsearch/components/custom-markdown/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..7a94dacbf814b25f3b5387a9e7a4a9b663868e45 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/custom-markdown/index.tsx @@ -0,0 +1,116 @@ +import ReactMarkdown from 'react-markdown'; +import rehypeRaw from 'rehype-raw'; +import { replaceStr, mergeReplaceToDiv } from '../../utils/tools'; +import { Popover } from 'antd'; +import classNames from 'classnames'; +import styles from './index.module.less'; +import { useEffect } from 'react'; + +interface IMarkdownProps { + source: string; + refList?: any; + quoType?: string; + chatIsOver?: boolean; +} + +const CustomMarkdown = ({ source, refList = null, quoType = 'single', chatIsOver = false }: IMarkdownProps) => { + const linkToExtend = (url: string) => { + window.open(url); + }; + + const CustomI = ({ children, className, ...props }: any) => { + const content = refList + ? Object.keys(refList).map((item) => { + if (Number(item) === Number(children)) { + return ( +
  • { + linkToExtend(refList[item].url); + }} + > +
    {refList[item].url}
    +
    {refList[item].title}
    +
    {refList[item].summ}
    +
    • + ); + } else { + return null; + } + }) + : null; + return className.includes('custom') ? ( + + {children} + + ) : ( + {children} + ); + }; + + const CustomDiv = ({ children, className, ...props }: any) => { + const list = props['data-ids'].split(','); + const content = refList + ? Object.keys(refList).map((item) => { + if (list.includes(String(item))) { + return ( + <> +
  • { + linkToExtend(refList[item].url); + }} + > +
    {refList[item].url}
    +
    {refList[item].title}
    +
    • +
    + + ); + } else { + return null; + } + }) + : null; + return className.includes('mergeQuo') ? ( + + + + + + + + + ) : ( + {children} + ); + }; + + return ( +
    + + { + refList ? + quoType === 'merge' ? mergeReplaceToDiv(source) : + replaceStr(source) : + source + } + +
    + ); +}; + +export default CustomMarkdown; diff --git a/frontend/React/src/pages/mindsearch/components/iconfont/index.tsx b/frontend/React/src/pages/mindsearch/components/iconfont/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..4bc211e47b90279ee57fbc36efeb7b75e4a00e38 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/iconfont/index.tsx @@ -0,0 +1,9 @@ +import { createFromIconfontCN } from '@ant-design/icons'; + +// //at.alicdn.com/t/c/font_3858115_yl9vl04f0jc.js +const IconFont = createFromIconfontCN({ + // scriptUrl: "//static.openxlab.org.cn/cmg-animation-upload/iconfont.js", + scriptUrl: '//at.alicdn.com/t/c/font_3858115_p8dw9q83s0h.js', +}); + +export default IconFont; diff --git a/frontend/React/src/pages/mindsearch/components/loading/index.module.less b/frontend/React/src/pages/mindsearch/components/loading/index.module.less new file mode 100644 index 0000000000000000000000000000000000000000..67e69887f4545734bd337ff4c57e2ebfa7e95791 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/loading/index.module.less @@ -0,0 +1,44 @@ +.loading99 { + margin: 20px; + position: relative; + width: 1px; + height: 1px; +} + +.loading99:before, +.loading99:after { + position: absolute; + display: inline-block; + width: 15px; + height: 15px; + content: ''; + border-radius: 100%; + background-color: #5551ff; +} + +.loading99:before { + left: -15px; + animation: ball-pulse infinite 0.75s -0.4s cubic-bezier(0.2, 0.68, 0.18, 1.08); +} + +.loading99:after { + right: -15px; + animation: ball-pulse infinite 0.75s cubic-bezier(0.2, 0.68, 0.18, 1.08); +} + +@keyframes ball-pulse { + 0% { + transform: scale(1); + opacity: 1; + } + + 50% { + transform: scale(0.1); + opacity: 0.6; + } + + 100% { + transform: scale(1); + opacity: 1; + } +} diff --git a/frontend/React/src/pages/mindsearch/components/loading/index.tsx b/frontend/React/src/pages/mindsearch/components/loading/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..a946864886711b8fe935b19fab7f5a7cdc042576 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/loading/index.tsx @@ -0,0 +1,6 @@ +import styles from './index.module.less'; + +const Loading = () => { + return
    ; +}; +export default Loading; diff --git a/frontend/React/src/pages/mindsearch/components/mind-map-item/index.module.less b/frontend/React/src/pages/mindsearch/components/mind-map-item/index.module.less new file mode 100644 index 0000000000000000000000000000000000000000..8b93032eb167e8e314d8ad2e11e25ecf0507ab98 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/mind-map-item/index.module.less @@ -0,0 +1,150 @@ +article { + padding: 6px 16px; + border-radius: 8px; + height: 38px; + border: 1px solid transparent; + background: #fff; + color: #121316; + text-align: center; + font-size: 14px; + line-height: 24px; + position: relative; + box-sizing: border-box; + + &.loading { + line-height: 20px; + border-radius: 8px; + overflow: hidden; + border: 1px solid transparent; + padding: 4px; + + span { + color: #3477eb; + background-color: #fff; + border-radius: 4px; + line-height: 24px; + padding: 2px 12px; + } + + .looping { + --border-width: 4px; + --follow-panel-linear-border: linear-gradient(90deg, #3477eb 0.58%, #FFB4BA 100.36%); + + position: absolute; + top: 0; + left: 0; + width: calc(100% + var(--border-width) * 3 - 8px); + height: 100%; + background: var(--follow-panel-linear-border); + background-size: 300% 300%; + background-position: 0 50%; + animation: moveGradient 4s linear infinite; + } + } + + &.disabled { + border-radius: 8px; + border: 1px solid #d7d8dd; + color: rgba(18, 19, 22, 0.35); + } + + &.finished { + cursor: pointer; + border: 1px solid #3477EB; + + &:hover { + background-color: #E6F2FF; + } + + .finishDot { + position: absolute; + top: 6px; + right: 6px; + width: 6px; + height: 6px; + background-color: #3477EB; + border-radius: 50%; + } + } + + &.forbidden { + cursor: not-allowed; + } + + &.emptyNode { + padding: 0 !important; + border: 0; + } + + &.active { + border-radius: 8px; + border: 1px solid var(---Brand1-5, #3477EB); + background: var(---Brand1-5, #3477EB); + color: #fff; + + &:hover { + border: 1px solid var(---Brand1-5, #3477EB); + background: var(---Brand1-5, #3477EB); + color: #fff; + } + + .dot { + position: absolute; + top: 6px; + right: 6px; + width: 6px; + height: 6px; + background-color: #fff; + border-radius: 50%; + } + } + + &.init { + border: 1px solid transparent; + cursor: auto; + } + + span { + display: block; + white-space: nowrap; + max-width: 160px; + overflow: hidden; + text-overflow: ellipsis; + position: relative; + z-index: 20; + } + + span.status { + color: #4082fe; + } +} + +ul.onlyone { + &:before { + opacity: 0; + } + + >li { + margin-left: 0px; + } + + &>li:after { + opacity: 0; + } + + &>li:before { + // left: 0; + } +} + +.endLine { + border-bottom: 1px solid #d7d8dd; + width: 3000px; + transition: width 1s ease-in-out; +} + +@keyframes moveGradient { + 50% { + background-position: 100% 50%; + } +} \ No newline at end of file diff --git a/frontend/React/src/pages/mindsearch/components/mind-map-item/index.tsx b/frontend/React/src/pages/mindsearch/components/mind-map-item/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..42a0affc3b19ece55bfac9c1dfab905f17b2eec6 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/mind-map-item/index.tsx @@ -0,0 +1,54 @@ +import styles from './index.module.less'; +import classNames from 'classnames'; +import { useEffect, useContext } from 'react'; +import { MindsearchContext } from '../../provider/context'; + +// 递归组件用于渲染mindMap中的节点 +const MindMapItem = ({ item, isEnd, selectNode }: any) => { + const { activeNode, chatIsOver } = useContext(MindsearchContext); + // console.log('[ms item------]', item, isEnd, currentNodeName) + // 递归渲染子节点 + const renderChildren = () => { + if (item?.children?.length > 0) { + return ( +
      + {item.children.map((child: any, idx: number) => ( + + ))} +
    + ); + } + return null; + }; + + const handleClick = () => { + if (item?.state === 0 || (item?.name === '原始问题' || item?.name === '最终回复')) { + return; + } + selectNode(item?.name); + }; + + return ( +
  • +
    + {item?.name} + {item?.state === 1 &&
    } + {item?.id !== 0 &&
    } + {item?.name && item?.name === activeNode ?
    : ''} +
    + {item?.children?.length > 0 && renderChildren()} + {isEnd && (item?.children?.length === 0 || !item?.children) &&
    } +
    • + ); +}; + +export default MindMapItem; diff --git a/frontend/React/src/pages/mindsearch/components/mind-map/index.module.less b/frontend/React/src/pages/mindsearch/components/mind-map/index.module.less new file mode 100644 index 0000000000000000000000000000000000000000..50cde52e57e53908cc88489003251d222e08604c --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/mind-map/index.module.less @@ -0,0 +1,256 @@ +.mapArea { + width: 100%; + overflow-x: auto; + overflow-y: hidden; + // transition: all 0.2s linear; + + &::-webkit-scrollbar { + height: 6px; + } + + &::-webkit-scrollbar-track { + background-color: rgba(255, 255, 255, 0); + border-radius: 10px; + } + + &::-webkit-scrollbar-thumb { + background-color: #d7d8dd; + border-radius: 100px; + } +} + +.end { + position: absolute; + right: 0; + background-color: #fff; + display: flex; + justify-content: center; + align-items: center; + border-left: 1px solid #d7d8dd; + padding-left: 16px; + + .node { + position: relative; + + &::before { + content: ''; + border: 1px solid #d7d8dd; + border-top: none; + border-left: none; + width: 14px; + height: 0px; + position: absolute; + left: -16px; + top: 50%; + // transform: translateY(-50%); + } + + article { + padding: 8px 16px; + border-radius: 8px; + border: 1px solid transparent; + color: #3477eb; + text-align: center; + font-size: 14px; + line-height: 24px; + box-sizing: border-box; + background: #e6f2ff; + } + } +} + +.mindmap { + position: relative; + margin-right: 16px; + + article { + padding: 6px 16px; + border-radius: 8px; + height: 38px; + border: 1px solid transparent; + background: #fff; + color: #121316; + text-align: center; + font-size: 14px; + line-height: 24px; + position: relative; + box-sizing: border-box; + + &.loading { + line-height: 20px; + border-radius: 8px; + overflow: hidden; + border: 1px solid transparent; + padding: 4px; + + span { + color: #2126c0; + background-color: #fff; + border-radius: 4px; + line-height: 24px; + padding: 2px 12px; + } + + .looping { + --border-width: 4px; + --follow-panel-linear-border: linear-gradient(91deg, #5551ff 0.58%, #ff87de 100.36%); + + position: absolute; + top: 0; + left: 0; + width: calc(100% + var(--border-width) * 2 - 8px); + height: calc(100%); + background: var(--follow-panel-linear-border); + background-size: 300% 300%; + background-position: 0 50%; + animation: moveGradient 4s alternate infinite; + } + } + + &.disabled { + border-radius: 8px; + border: 1px solid #d7d8dd; + color: rgba(18, 19, 22, 0.35); + } + + &.finished { + cursor: pointer; + border: 1px solid #2126c0; + + .finishDot { + position: absolute; + top: 6px; + right: 6px; + width: 6px; + height: 6px; + background-color: #c9c0fe; + border-radius: 50%; + } + } + + &.init { + border: 1px solid transparent; + cursor: auto; + } + + span { + display: block; + white-space: nowrap; + max-width: 160px; + overflow: hidden; + text-overflow: ellipsis; + position: relative; + z-index: 20; + } + + span.status { + color: #4082fe; + } + } + + // 第一个article，起始节点 + >li { + >article { + border-radius: 8px; + background: #e6f2ff; + color: #3477eb; + } + } + + li { + list-style: none; + display: flex; + align-items: center; + box-sizing: border-box; + margin: 16px; + line-height: 1; + position: relative; + + &>ul.onlyone { + &:before { + opacity: 0; + } + + >li { + margin-left: 0px; + } + + &>li:after { + opacity: 0; + } + + &>li:before { + // left: 0; + } + } + + &>ul:before { + content: ''; + border: 1px solid #d7d8dd; + border-top: none; + border-left: none; + width: calc(16px - 2px); + height: 0px; + position: absolute; + left: 0; + top: 50%; + // transform: translateY(-50%); + } + + &:before { + content: ''; + border: 1px solid #d7d8dd; + border-top: none; + border-left: none; + width: 16px; + height: 0px; + position: absolute; + left: calc(-16px - 1px); + } + + &:after { + content: ''; + border: 1px solid #d7d8dd; + border-top: none; + border-left: none; + width: 0px; + height: calc(100% / 2 + 33px); + position: absolute; + left: calc(-16px - 2px); + } + + &:first-of-type:after { + top: 50%; + } + + &:last-of-type:after { + bottom: 50%; + } + + ul { + padding: 0 0 0 16px; + position: relative; + margin-bottom: 0; + } + } + + &>li { + + &:after, + &:before { + display: none; + } + } + + .endLine { + border-bottom: 1px solid #d7d8dd; + width: 3000px; + transition: width 1s ease-in-out; + } +} + +@keyframes moveGradient { + 50% { + background-position: 100% 50%; + } +} \ No newline at end of file diff --git a/frontend/React/src/pages/mindsearch/components/mind-map/index.tsx b/frontend/React/src/pages/mindsearch/components/mind-map/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..2442953553b7607cd6ef8c688f3d6b3ba79f58d6 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/mind-map/index.tsx @@ -0,0 +1,103 @@ +import styles from './index.module.less'; +import { useState, useEffect } from 'react'; +import MindMapItem from '../mind-map-item'; + +interface IEndStyle { + top: string; + height: number; +} +const MindMapGraph = (props: any) => { + const { isEnd, renderData, handleNodeClick } = props; + const [mapId] = useState(Date.now()); + const [showEndNode, setShowEndNode] = useState(false); + const [mapWidth, setMapWidth] = useState(0); + const [endStyle, setEndStyle] = useState({ + top: '50%', + height: 0, + }); + const generateWidth = () => { + const articles = document.getElementById(`mindMap-${mapId}`)?.querySelectorAll('article'); + // 确保至少有两个元素 + if (articles?.length) { + let maxRight = 0; + articles.forEach((item, index) => { + if (item.getBoundingClientRect().right > maxRight) { + maxRight = item.getBoundingClientRect().right; + } + }); + const firstArticle = articles[0].getBoundingClientRect(); + if (maxRight - firstArticle.left + 200 > mapWidth) { + return maxRight - firstArticle.left + 200; + } else { + return mapWidth; + } + } else { + return 100; + } + }; + + const generateEndStyle = () => { + // 获取所有class为endline的div元素 + const mindMap = document.getElementById(`mindMap-${mapId}`); + const endlineDivs = document.getElementById(`mindMap-${mapId}`)?.querySelectorAll('.endline') || []; + // console.log('generateEndStyle-----', mapId, `mindMap-${mapId}`, document.getElementById(`mindMap-${mapId}`), mindMap, endlineDivs, endlineDivs?.length); + // 确保至少有两个元素 + if (endlineDivs?.length >= 2 && mindMap) { + // 获取第一个和最后一个元素的边界框（bounding rectangle） + const firstRect = endlineDivs?.[0].getBoundingClientRect(); + const lastRect = endlineDivs?.[endlineDivs.length - 1].getBoundingClientRect(); + const mindMapRect = mindMap?.getBoundingClientRect(); + // 计算y值的差值 + const yDiff = lastRect.top - firstRect.top; + // const top = firstRect.top - mindMapRect.top; + // 如果需要包含元素的完整高度（不仅仅是顶部位置），可以加上元素的高度 + // const yDiffWithHeight = yDiff + (lastRect.height - firstRect.height); + return { + top: firstRect.top - mindMapRect.top, + height: yDiff + 1, + }; + } else { + return { + top: '50%', + height: 0, + }; + } + }; + + useEffect(() => { + setMapWidth(generateWidth()); + }, [renderData.length]); + + useEffect(() => { + if (!isEnd) return; + setMapWidth(generateWidth()); + setTimeout(() => { + setEndStyle(generateEndStyle() as IEndStyle); + setShowEndNode(true); + }, 200); + }, [isEnd]); + + return ( +
    +
      + {renderData.map((item: any) => ( + + ))} + {showEndNode && ( +
      +
      +
      最终回复
      +
      +
      + )} +
    +
    + ); +}; + +export default MindMapGraph; diff --git a/frontend/React/src/pages/mindsearch/components/notice/index.module.less b/frontend/React/src/pages/mindsearch/components/notice/index.module.less new file mode 100644 index 0000000000000000000000000000000000000000..0d5021ec7f26e19c7f1ace0b9edfc6437156aead --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/notice/index.module.less @@ -0,0 +1,19 @@ +.notice { + color: #12131659; + padding-top: 8px; + text-align: center; + font-weight: 400; + font-size: 12px; + line-height: 18px; + + a { + text-decoration: none; + color: #444; + display: inline-flex; + align-items: center; + + span { + font-size: 18px; + } + } +} \ No newline at end of file diff --git a/frontend/React/src/pages/mindsearch/components/notice/index.tsx b/frontend/React/src/pages/mindsearch/components/notice/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..6c69d4ff34c1e91e6720589d99a286498ca887e7 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/notice/index.tsx @@ -0,0 +1,10 @@ +import styles from './index.module.less'; +import IconFont from '../iconfont'; + +const Notice = () => { + return <> +
    如果想要更丝滑的体验，请在本地搭建-Mind Search
    +
    Powered by InternLM2.5, this service has been specifically optimized for Chinese. For a better experience in English, you can build it locally.
    + ; +}; +export default Notice; \ No newline at end of file diff --git a/frontend/React/src/pages/mindsearch/components/session-item/index.module.less b/frontend/React/src/pages/mindsearch/components/session-item/index.module.less new file mode 100644 index 0000000000000000000000000000000000000000..3202dac060dcc4f9295432c2cadc5bc6bda0aaf1 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/session-item/index.module.less @@ -0,0 +1,33 @@ +.questionArea { + display: flex; + justify-content: flex-start; + margin-bottom: 40px; + + .avatar { + width: 32px; + height: 32px; + margin-right: 16px; + border-radius: 50%; + background-color: #ddd; + flex-shrink: 0; + margin-top: 7px; + overflow: hidden; + + img { + width: 100%; + } + } + + .question { + padding: 12px 16px; + background: #E6F2FF; + max-width: 93.75%; + border-radius: 16px; + + span { + color: #121316cc; + font-size: 16px; + line-height: 28px; + } + } +} \ No newline at end of file diff --git a/frontend/React/src/pages/mindsearch/components/session-item/index.tsx b/frontend/React/src/pages/mindsearch/components/session-item/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..437187882216a276c4fad8da9b25fd51ffbcfa09 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/components/session-item/index.tsx @@ -0,0 +1,26 @@ +import { useEffect, useState, useRef, useMemo, useContext } from 'react'; +import styles from './index.module.less'; +import Answer from '../answer'; + +const SessionItem = ({ item, handleNodeClick, idx }: any) => { + return <> +
    +
    +
    + {item.question} +
    +
    + + +}; + +export default SessionItem; \ No newline at end of file diff --git a/frontend/React/src/pages/mindsearch/index.module.less b/frontend/React/src/pages/mindsearch/index.module.less new file mode 100644 index 0000000000000000000000000000000000000000..3bb245c2be3c06edfb465a385ee218fe6a25bd39 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/index.module.less @@ -0,0 +1,465 @@ +// inspired by https://www.youtube.com/watch?v=Pl1Gw14pS2I +@import '@/styles/fn.less'; + +.mainPage { + display: flex; + justify-content: flex-start; + align-items: flex-start; + height: 100%; + // overflow: hidden; + position: relative; + max-width: 1640px; + margin: 2px auto; + + .input { + border: 1px solid var(--grey-4); + border-radius: 16px; + background: var(--grey-1); + padding: 14px 4px 14px 16px; + position: relative; + + &:hover { + background: var(--grey-3); + } + + &.focus { + background: var(--white); + box-shadow: 0px 2px 10px 0px var(--dark-1); + } + + &-main { + width: 100%; + display: flex; + align-items: flex-end; + + &-box { + flex: 1; + position: relative; + + .textarea { + color: var(--dark-8); + font-size: 16px; + line-height: 24px; + padding: 0; + padding-right: 48px; + caret-color: var(--theme-color); + .custom-scroll(); + } + + .send { + position: absolute; + bottom: 0; + right: 8px; + color: var(--theme-color); + display: flex; + align-items: center; + + i { + font-size: 24px; + } + + &.disabled { + color: var(--dark-2); + + &:hover, + &:active { + color: var(--dark-2); + } + } + + &:hover { + color: var(--blue-3); + } + + &:active { + color: var(--blue-4); + } + } + } + } + } + + .chatContent { + position: relative; + display: flex; + justify-content: space-between; + flex-direction: column; + flex-grow: 1; + margin-right: 40px; + max-width: 800px; + height: 100%; + // overflow-y: hidden; + padding: 0; + box-sizing: border-box; + + .top { + height: 100%; + overflow-y: auto; + + &.mb12 { + margin-bottom: 12px; + } + + &::-webkit-scrollbar { + width: 6px; + } + + &::-webkit-scrollbar-track { + background-color: rgba(255, 255, 255, 0); + border-radius: 100px; + } + + &::-webkit-scrollbar-thumb { + background-color: rgba(255, 255, 255, 0); + border-radius: 100px; + } + } + + .sendArea { + display: flex; + width: 100%; + box-sizing: border-box; + height: 52px; + border-radius: 16px !important; + + :global { + .ant-input { + &:focus { + box-shadow: none !important; + outline: 0 !important; + } + } + } + + input { + height: 36px; + line-height: 36px; + flex-grow: 1; + border: 0; + outline: 0; + + &:focus { + border: 0; + outline: 0; + } + } + + button { + display: flex; + justify-content: flex-start; + align-items: center; + border: 0; + background-color: #fff; + cursor: pointer; + padding: 8px; + width: 65px; + flex-shrink: 0; + + img { + margin-right: 4px; + } + } + } + + .notice { + color: #12131659; + padding-top: 8px; + text-align: center; + font-weight: 400; + font-size: 12px; + line-height: 18px; + + a { + text-decoration: none; + color: #444; + display: inline-flex; + align-items: center; + + span { + font-size: 18px; + } + } + } + } + + .progressContent { + max-width: 800px; + flex-shrink: 1; + box-sizing: border-box; + padding: 24px; + border-radius: 8px; + border: rgba(33, 38, 192, 0.1); + background: rgba(255, 255, 255, 0.8); + height: calc(100% - 60px); + overflow-y: auto; + position: relative; + + &::-webkit-scrollbar { + width: 6px; + } + + &::-webkit-scrollbar-track { + background-color: rgba(255, 255, 255, 0); + border-radius: 100px; + } + + &::-webkit-scrollbar-thumb { + background-color: rgba(255, 255, 255, 0); + border-radius: 100px; + } + + .toggleIcon { + position: absolute; + right: 24px; + top: 28px; + cursor: pointer; + } + } +} + +pre { + margin: 0; + padding-top: 8px; + color: #121316; + font-size: 14px; + line-height: 24px; + font-family: 'PingFang SC', 'Franklin Gothic Medium', 'Arial Narrow', Arial, sans-serif; + white-space: wrap; +} + +ul { + margin: 0; + padding: 0; +} + +.draft { + width: 100%; + white-space: wrap; + // display: flex; + // justify-content: flex-start; + // align-items: flex-start; + + .loading, + .loading>div { + position: relative; + box-sizing: border-box; + } + + .loading { + display: flex; + justify-content: center; + align-items: center; + font-size: 0; + color: #fff; + background-color: #f90; + width: 20px; + height: 20px; + border-radius: 50%; + margin-right: 3px; + flex-shrink: 0; + } + + .loading>div { + display: inline-block; + float: none; + background-color: currentColor; + border: 0 solid currentColor; + } + + .loading>div:nth-child(1) { + animation-delay: -200ms; + } + + .loading>div:nth-child(2) { + animation-delay: -100ms; + } + + .loading>div:nth-child(3) { + animation-delay: 0ms; + } + + .loading>div { + width: 3px; + height: 3px; + margin: 2px 1px; + border-radius: 100%; + animation: ball-pulse 1s ease infinite; + } +} + +.qaItem { + width: 100%; + margin-bottom: 40px; +} + +.newChatTip { + width: 100%; + display: flex; + justify-content: center; + align-items: center; + color: var(--35-text-2, rgba(18, 19, 22, 0.35)); + font-size: 14px; + font-weight: 400; + line-height: 24px; + position: relative; + margin-bottom: 80px; + + span { + background-color: #fff; + position: relative; + z-index: 10; + padding: 0 16px; + } + + &::before { + position: absolute; + width: 100%; + left: 0; + top: calc(50% - 1px); + height: 1px; + content: ''; + background-color: #d7d8dd; + } + + a { + padding: 0 4px; + color: #3477eb; + text-decoration: none; + cursor: pointer; + } +} + +.showRight { + position: fixed; + top: 45px; + right: 24px; + width: 32px; + cursor: pointer; + z-index: 100; + + .actionIcon { + width: 32px; + height: 32px; + border-radius: 4px; + padding: 3px; + margin-bottom: 12px; + box-sizing: border-box; + + &.forbidden { + cursor: not-allowed; + opacity: 0.5; + } + + &.robotIcon { + display: flex; + justify-content: center; + align-items: center; + + img { + width: 17px; + } + } + + &:hover { + background-color: #f4f5f9; + } + } + + img { + width: 100%; + } +} + +@keyframes ball-pulse { + + 0%, + 60%, + 100% { + opacity: 1; + transform: scale(1); + } + + 30% { + opacity: 0.1; + transform: scale(0.01); + } +} + +@keyframes moveGradient { + 50% { + background-position: 100% 50%; + } +} + +@keyframes fadeIn { + 0% { + width: 0; + opacity: 0; + } + + 100% { + width: auto; + opacity: 1; + } +} + +@keyframes unfold { + 0% { + height: auto; + } + + 100% { + height: 0; + } +} + +.loading99 { + margin: 20px; + position: relative; + width: 1px; + height: 1px; +} + +.loading99:before, +.loading99:after { + position: absolute; + display: inline-block; + width: 15px; + height: 15px; + content: ''; + border-radius: 100%; + background-color: #5551ff; +} + +.loading99:before { + left: -15px; + animation: ball-pulse infinite 0.75s -0.4s cubic-bezier(0.2, 0.68, 0.18, 1.08); +} + +.loading99:after { + right: -15px; + animation: ball-pulse infinite 0.75s cubic-bezier(0.2, 0.68, 0.18, 1.08); +} + +@keyframes ball-pulse { + 0% { + transform: scale(1); + opacity: 1; + } + + 50% { + transform: scale(0.1); + opacity: 0.6; + } + + 100% { + transform: scale(1); + opacity: 1; + } +} + +// @media (max-width: 1360px) { +// .mainPage { +// padding: 0 60px 0 120px; +// } +// } \ No newline at end of file diff --git a/frontend/React/src/pages/mindsearch/index.tsx b/frontend/React/src/pages/mindsearch/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..6a6febe638731138999a0d42615a9c0841748e5b --- /dev/null +++ b/frontend/React/src/pages/mindsearch/index.tsx @@ -0,0 +1,514 @@ +import styles from './index.module.less'; +import { useEffect, useState, useRef, useMemo, useContext } from 'react'; +import { Input, message, Tooltip } from 'antd'; +import ShowRightIcon from './assets/think-progress-icon.svg'; +import { MindsearchContext } from './provider/context'; +import ChatRight from './components/chat-right'; +import { useNavigate, useParams } from 'react-router-dom'; +import { fetchEventSource } from '@microsoft/fetch-event-source'; +import SessionItem from './components/session-item'; +import classNames from 'classnames'; +import Notice from './components/notice'; + +interface INodeInfo { + isEnd?: boolean; // 该节点是否结束 + current_node?: string; + thinkingData?: string; // step1 思考 + queries?: []; + readingData?: string; // step2 思考 + searchList?: []; + conclusion?: string; // 节点的结论 + selectedIds?: number[]; + subQuestion?: string; // 节点的标题 + conclusionRef: any[]; + outputing?: boolean; +}; + +interface IFormattedData { + question?: string; + nodes?: any; + adjacency_list?: object; + response?: string; + responseRefList?: any[]; + chatIsOver?: boolean; +}; + +interface INodeItem { + id: string; + name: string; + state: number; +}; + +class FatalError extends Error { }; +class RetriableError extends Error { }; + +const MindSearchCon = () => { + const navigate = useNavigate(); + const params = useParams<{ id: string; robotId: string }>(); + const [qaList, setQaList] = useState([]); + const [formatted, setFormatted] = useState({}); + const [question, setQuestion] = useState(''); + const [stashedQuestion, setStashedQuestion] = useState(''); + const [newChatTip, setNewChatTip] = useState(false); + const [singleObj, setSingleObj] = useState(null); + const [isEnd, setIsEnd] = useState(false); + const [inputFocused, setFocused] = useState(false); + // 一轮完整对话结束 + const [chatIsOver, setChatIsOver] = useState(true); + + const [currentNodeInfo, setCurrentNode] = useState(null); + const [currentNodeName, setCurrentNodeName] = useState(''); + const [activeNode, setActiveNode] = useState(''); + // 是否展示右侧内容 + const [showRight, setShowRight] = useState(false); + const [adjList, setAdjList] = useState({}); + const [historyNode, setHistoryNode] = useState(null); + + const [hasNewChat, setHasNewChat] = useState(false); + + // 新开会话 + const openNewChat = () => { + location.reload(); + }; + + const toggleRight = () => { + setShowRight(!showRight); + }; + + // 渲染过程中保持渲染文字可见 + const keepScrollTop = () => { + const divA = document.getElementById('chatArea') as HTMLDivElement; + const divB = document.getElementById('messageWindowId') as HTMLDivElement; + // 获取 divB 的当前高度 + const bHeight = divB.offsetHeight; + + // 检查 divA 是否需要滚动（即 divB 的高度是否大于 divA 的可视高度） + if (bHeight > divA.offsetHeight) { + // 滚动到 divB 的底部在 divA 的可视区域内 + divA.scrollTop = bHeight - divA.offsetHeight + 30; + } + }; + + const initPageState = () => { + setSingleObj(null); + setCurrentNodeName(''); + setCurrentNode(null); + setFormatted({}); + setAdjList({}); + setShowRight(false); + setIsEnd(false); + }; + + const responseTimer: any = useRef(null); + + useEffect(() => { + // console.log('[ms]---', formatted, chatIsOver, responseTimer.current); + if (chatIsOver && formatted?.response) { + // 一轮对话结束 + setQaList((pre) => { + return pre.concat(formatted); + }); + initPageState(); + setCurrentNodeName('customer-0'); + } + if (!chatIsOver && !responseTimer.current) { + responseTimer.current = setInterval(() => { + keepScrollTop(); + }, 50); + } + if (responseTimer.current && chatIsOver) { + // 如果 isEnd 变为 false，清除定时器 + clearInterval(responseTimer.current); + responseTimer.current = null; + } + }, [formatted?.response, chatIsOver, responseTimer.current, newChatTip]); + + useEffect(() => { + if (formatted?.question) { + setHistoryNode(null); + setChatIsOver(false); + } + }, [formatted?.question]); + + // 存储节点信息 + const stashNodeInfo = (fullInfo: any, nodeName: string) => { + // console.log('stash node info------', fullInfo, fullInfo?.response?.stream_state); + const content = JSON.parse(fullInfo?.response?.content || '{}') || {}; + const searchListStashed: any = Object.keys(content).map((item) => { + return { id: item, ...content[item] }; + }); + const stashedList = JSON.parse(localStorage?.stashedNodes || '{}'); + const nodeInfo = stashedList[nodeName] || {}; + + if (fullInfo?.content) { + nodeInfo.subQuestion = fullInfo.content; + } + if (fullInfo?.response?.formatted?.thought) { + // step1 思考 + if (!nodeInfo?.readingData && !nodeInfo?.queries?.length) { + nodeInfo.thinkingData = fullInfo?.response?.formatted?.thought; + } + + // step2 思考 + if (nodeInfo?.thinkingData && nodeInfo?.queries?.length && nodeInfo?.searchList?.length && !nodeInfo?.selectedIds?.length && !nodeInfo?.conclusion) { + nodeInfo.readingData = fullInfo?.response?.formatted?.thought; + } + + // conclusion + if (nodeInfo?.startConclusion && fullInfo?.response?.stream_state === 1) { + nodeInfo.conclusion = fullInfo?.response?.formatted?.thought; + } + } + if (fullInfo?.response?.formatted?.action?.parameters?.query?.length && !nodeInfo.queries?.length) { + nodeInfo.queries = fullInfo?.response?.formatted.action.parameters.query; + } + + if (searchListStashed?.length && !nodeInfo.conclusionRef) { + nodeInfo.searchList = searchListStashed; + nodeInfo.conclusionRef = content; + } + + if (Array.isArray(fullInfo?.response?.formatted?.action?.parameters?.select_ids) && !nodeInfo?.selectedIds?.length) { + nodeInfo.selectedIds = fullInfo?.response?.formatted.action.parameters.select_ids; + nodeInfo.startConclusion = true; + } + + if (fullInfo?.response?.stream_state) { + nodeInfo.outputing = true; + } else { + nodeInfo.outputing = false; + } + + const nodesList: any = {}; + nodesList[nodeName] = { + current_node: nodeName, + ...nodeInfo, + }; + window.localStorage.stashedNodes = JSON.stringify({ ...stashedList, ...nodesList }); + }; + + const formatData = (obj: any) => { + // 嫦娥6号上有哪些国际科学载荷？它们的作用分别是什么？ + try { + // 更新邻接表 + if (obj?.response?.formatted?.adjacency_list) { + setAdjList(obj.response?.formatted?.adjacency_list); + } + + if (!obj?.current_node && obj?.response?.formatted?.thought && obj?.response?.stream_state === 1) { + // 有thought，没有node, planner思考过程 + setFormatted((pre: IFormattedData) => { + return { + ...pre, + response: obj.response.formatted.thought, + }; + }); + } + if (obj?.response?.formatted?.ref2url && !formatted?.responseRefList) { + setFormatted((pre: IFormattedData) => { + return { + ...pre, + responseRefList: obj?.response?.formatted?.ref2url, + }; + }); + } + if (obj?.current_node || obj?.response?.formatted?.node) { + // 有node, 临时存储node信息 + stashNodeInfo(obj?.response?.formatted?.node?.[obj.current_node], obj.current_node); + } + } catch (err) { + console.log(err); + } + }; + + const handleError = (errCode: number, msg: string) => { + message.warning(msg || '请求出错了，请稍后再试'); + if (errCode === -20032 || errCode === -20033 || errCode === -20039) { + // 敏感词校验失败, 新开会话 + openNewChat(); + return; + } + console.log('handle error------', msg); + setChatIsOver(true); + initPageState(); + }; + + const startEventSource = () => { + console.log('start event--------'); + if (qaList?.length > 4) { + setNewChatTip(true); + message.warning('对话数已达上限，请在新对话中聊天'); + keepScrollTop(); + return; + } + setFormatted({ ...formatted, question }); + setQuestion(''); + setChatIsOver(false); + const ctrl = new AbortController(); + const url = '/solve'; + // const queryData = { + // cancel: true, + // prompt: question, + // }; + const postData = { + inputs: question + } + fetchEventSource(url, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify(postData), + openWhenHidden: true, + signal: ctrl.signal, + onmessage(ev) { + try { + const res = (ev?.data && JSON.parse(ev.data)) || null; + if (res?.response?.stream_state === 0) { + setChatIsOver(true); + setFormatted((pre: IFormattedData) => { + return { + ...pre, + chatIsOver: true, + }; + }); + } else { + formatData(res); + setSingleObj(res); + } + } catch (err) { + console.log('error on sse---', err); + handleError(0, '请求出错了，请稍后再试！'); + } + }, + onerror(err) { + console.log('error on sse---', err); + handleError(0, ''); + ctrl.abort(); + if (err instanceof FatalError) { + throw err; + } + }, + onclose() { + // params?.id && handleUpdateHistoryItem(params?.id); + } + }); + }; + + // 点击节点 + const handleNodeClick = (node: string, idx: number) => { + if (isEnd && !chatIsOver) return; // 当节点输出完成，最终response进行中，不允许点击按钮，点击无效 + const isFromHistory = qaList?.[idx]?.nodes?.[node]; + setShowRight(true); + setActiveNode(node); + + if (isFromHistory) { + const info = qaList?.[idx]?.nodes?.[node]; + + if (!info) { + message.error('没有读取到节点信息'); + } + setHistoryNode(info); + } else { + setCurrentNodeName(node); + } + }; + + // 解析历史记录或者搜索返回的数据 + const formatHistoryNode = (originNodeInfo: any) => { + // console.log('format history node--------', originNodeInfo); + const searchContent = JSON.parse(originNodeInfo?.memory?.[1]?.content || '{}') || {}; + const searchListStashed: any = Object.keys(searchContent).map((item) => { + return { id: item, ...searchContent[item] }; + }); + + const nodeInfo: INodeInfo = { + current_node: originNodeInfo?.current_node || String(Date.now()), + thinkingData: originNodeInfo?.memory?.[0]?.formatted?.thought || '', // step1 思考 + queries: originNodeInfo?.memory?.[0]?.formatted?.action?.parameters?.query || [], + readingData: originNodeInfo?.memory?.[2]?.formatted?.thought || '', // step2 思考 + searchList: searchListStashed, + conclusionRef: searchContent, + conclusion: originNodeInfo?.memory?.[4]?.formatted?.thought || '', // 节点的结论 + selectedIds: originNodeInfo?.memory?.[2]?.formatted?.action?.parameters?.select_ids || [], + subQuestion: originNodeInfo?.content, // 节点的标题 + isEnd: true, + outputing: false + }; + return nodeInfo; + }; + + const createSseChat = () => { + if (submitDisabled) { + return; + } + setQuestion(stashedQuestion); + setStashedQuestion(''); + setCurrentNodeName('customer-0'); + }; + + const checkNodesOutputFinish = () => { + const adjListStr = JSON.stringify(adjList); + // 服务端没有能准确描述所有节点输出完成的状态，前端从邻接表信息中寻找response信息，不保证完全准确，因为也可能不返回 + if (adjListStr.includes('"name":"response"')) { + setIsEnd(true); + } + }; + + useEffect(() => { + if (!adjList) return; + if (isEnd) { + // 所有节点输出完成时收起右侧 + setShowRight(false); + } else { + checkNodesOutputFinish(); + } + setFormatted((pre: IFormattedData) => { + return { + ...pre, + adjacency_list: adjList, + }; + }); + }, [adjList, isEnd]); + + useEffect(() => { + const findStashNode = localStorage?.stashedNodes && JSON.parse(localStorage?.stashedNodes || '{}'); + if (!findStashNode || !currentNodeName) return; + currentNodeName === 'customer-0' ? setCurrentNode(null) : setCurrentNode(findStashNode?.[currentNodeName]); + currentNodeName !== 'customer-0' && setShowRight(true); + }, [currentNodeName, localStorage?.stashedNodes]); + + useEffect(() => { + if (!singleObj) return; + if ((!currentNodeName || currentNodeName === 'customer-0') && singleObj?.current_node) { + setCurrentNodeName(singleObj?.current_node); + } + }, [singleObj, currentNodeName]); + + useEffect(() => { + if (question) { + startEventSource(); + } + }, [question]); + + useEffect(() => { + if (!showRight) { + setActiveNode(''); + } + }, [showRight]); + + useEffect(() => { + localStorage.stashedNodes = ''; + localStorage.reformatStashedNodes = ''; + + return () => { + // 返回清理函数，确保组件卸载时清除定时器 + if (responseTimer.current) { + clearInterval(responseTimer.current); + responseTimer.current = null; + } + }; + }, []); + + const submitDisabled = useMemo(() => { + return newChatTip || !stashedQuestion || !chatIsOver; + }, [newChatTip, stashedQuestion, chatIsOver]); + + return ( + +
    +
    +
    +
    + {qaList.length > 0 && + qaList.map((item: IFormattedData, idx) => { + return ( +
    + { + item.question && + } +
    + ); + }) + } + { + formatted?.question && + + } +
    + {newChatTip && ( +
    + + 对话数已达上限，请在 新对话 中聊天 + +
    + )} +
    +
    +
    +
    + { + setStashedQuestion(e.target.value); + }} + onPressEnter={createSseChat} + onFocus={() => { setFocused(true) }} + onBlur={() => { setFocused(false) }} + /> +
    + +
    +
    +
    +
    + +
    + {showRight ? ( + + ) : ( +
    +
    + + + +
    +
    + )} +
    +     + ); +}; + +export default MindSearchCon; diff --git a/frontend/React/src/pages/mindsearch/provider/context.tsx b/frontend/React/src/pages/mindsearch/provider/context.tsx new file mode 100644 index 0000000000000000000000000000000000000000..b83318a8fd3303d0f2c747c1f3b1fc0c02c85383 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/provider/context.tsx @@ -0,0 +1,10 @@ +import React, { createContext, useCallback, useContext, useMemo, useRef, useState } from 'react'; + +export const MindsearchContext = createContext( + {} as { + activeNode: string; + isEnd: boolean; + chatIsOver: boolean; + setActiveNode?: () => void; + }, +); \ No newline at end of file diff --git a/frontend/React/src/pages/mindsearch/utils/tools.ts b/frontend/React/src/pages/mindsearch/utils/tools.ts new file mode 100644 index 0000000000000000000000000000000000000000..cddaab39ba28fd3f4d0f7dacea3a5a5db2ba1cc6 --- /dev/null +++ b/frontend/React/src/pages/mindsearch/utils/tools.ts @@ -0,0 +1,44 @@ +export const getQueryString = (search: string, name: string) => { + if (!search) return ''; + const reg = new RegExp(`(^|&)${name}=([^&]*)(&|$)`); + const result = search.substring(1).match(reg); + if (result != null) return result[2]; + return ''; +}; + +export const isInWhiteList = (url = '', list: string[] = []) => { + const baseUrl = url.split('?')[0]; + for (const whiteApi of list) { + if (baseUrl.endsWith(whiteApi)) { + return true; + } + } + return false; +}; + +export const mergeReplaceToDiv = (str: string) => { + // 优化后的正则表达式，使用非捕获组和正向断言来确保匹配的是连续的[[数字]]序列 + const regexOptimized = /\[\[(\d+)\]](?:\s*\[\[(\d+)\]])*/g; + + // 替换函数（优化版），直接处理整个匹配到的字符串 + function replaceWithDivSpanOptimized(match: any) { + // 提取出所有数字，由于我们已经知道匹配的是连续的[[数字]]序列，所以可以直接分割字符串 + const numbers = match + .slice(2, -2) + .split(']][[') + .map((num: any) => parseInt(num, 10)); + return `${numbers.map((num: number) => `${num}`).join('')}`; + } + + // 使用优化后的正则表达式和替换函数处理Markdown字符串 + const resultOptimized = str.replace(regexOptimized, replaceWithDivSpanOptimized); + + return resultOptimized; +}; + +export const replaceStr = (str: string) => { + return str.replace(/\[\[(\d+)\]\]/g, (match: any, number: any) => { + // 创建一个带有class为'f'的span元素，并将数字作为文本内容 + return `${number}`; + }); +}; diff --git a/frontend/React/src/routes/routes.tsx b/frontend/React/src/routes/routes.tsx new file mode 100644 index 0000000000000000000000000000000000000000..2c232f3c42880dd77a57fedcb5581b70f7c5377d --- /dev/null +++ b/frontend/React/src/routes/routes.tsx @@ -0,0 +1,30 @@ +import MindSearchCon from '@/pages/mindsearch'; +import { ReactElement } from "react"; +import { Navigate, useRoutes } from "react-router-dom"; +interface RouteItem { + path: string; + needLogin?: boolean; + element: ReactElement; +} + +const routes: RouteItem[] = [ + { + path: "/", + needLogin: false, + element: , + }, + { + path: "*", + element: , + }, +]; + +const WrapperRoutes = () => { + return useRoutes( + routes.map((item: RouteItem) => { + return item; + }), + ); +}; + +export default WrapperRoutes; diff --git a/frontend/React/src/styles/fn.less b/frontend/React/src/styles/fn.less new file mode 100644 index 0000000000000000000000000000000000000000..c508c30119390abbd85e86bf324f784057e69764 --- /dev/null +++ b/frontend/React/src/styles/fn.less @@ -0,0 +1,86 @@ +@import './var.less'; + +// 单行省略 +.singleLine() { + overflow: hidden; + text-overflow: ellipsis; + white-space: nowrap; +} + +// 多行文本省略 +.ellispsis(@line) { + overflow: hidden; + text-overflow: ellipsis; + display: -webkit-box; + /* autoprefixer: off */ + -webkit-box-orient: vertical; + /* autoprefixer: on */ + -webkit-line-clamp: @line; +} + +// 自定义滚动条 +.custom-scroll(@bg: transparent, @thumbBg: var(--grey-4)) { + &::-webkit-scrollbar { + width: 4px; + background: @bg; + height: 0px; + } + &::-webkit-scrollbar-thumb { + border-radius: 20px; + background: @bg; + } + &::-webkit-scrollbar-track { + border-radius: 20px; + background: @bg; + opacity: 0; + } + &:hover::-webkit-scrollbar-thumb { + background: @thumbBg; + } +} + +.common-button(@hoverBgColor:var( --blue-3),@bgColor:var(--theme-color),@radius:8px,@color:var(--white-95)) { + border-radius: @radius; + background-color: @bgColor; + display: flex; + align-items: center; + justify-content: center; + color: @color; + + &:hover { + background-color: @hoverBgColor; + cursor: pointer; + } +} + +.diyScroll(@bg: var(--white), @thumbBg: @thumbGrey,@width:@scrollWidth) { + &::-webkit-scrollbar { + width: @width; + background: @bg; + } + &::-webkit-scrollbar-thumb { + border-radius: 90px; + background: @bg; + } + &::-webkit-scrollbar-track { + -webkit-box-shadow: inset 0 0 4px @bg; + border-radius: 90px; + background: @bg; + opacity: 0; + } + &:hover::-webkit-scrollbar-thumb { + background: @thumbBg; + } +} + +.cursorBlink() { + &::after { + content: ''; + border: 1px solid var(--black); + margin-left: 0px; + flex: 1; + -webkit-animation: + typing 3s steps(16) forwards, + cursor 1s infinite; + } +} diff --git a/frontend/React/src/styles/var.less b/frontend/React/src/styles/var.less new file mode 100644 index 0000000000000000000000000000000000000000..b9c5ff0360a9f9b6414b60a887fba6667d16b118 --- /dev/null +++ b/frontend/React/src/styles/var.less @@ -0,0 +1,85 @@ +body { + // theme color ------start + --theme-color: rgba(52, 119, 235, 1); //#3477EB + --theme-color-9: rgba(52, 119, 235, 0.9); + --theme-color-8: rgba(52, 119, 235, 0.8); + --theme-color-7: rgba(52, 119, 235, 0.7); + --theme-color-6: rgba(52, 119, 235, 0.6); + --theme-color-5: rgba(52, 119, 235, 0.5); + --theme-color-4: rgba(52, 119, 235, 0.4); + --theme-color-3: rgba(52, 119, 235, 0.3); + --theme-color-2: rgba(52, 119, 235, 0.2); + --theme-color-1: rgba(52, 119, 235, 0.1); + --theme-color-0: rgba(52, 119, 235, 0); + + --dark: rgba(18, 19, 22, 1); + --dark-9: rgba(18, 19, 22, 0.9); + --dark-8: rgba(18, 19, 22, 0.8); + --dark-7: rgba(18, 19, 22, 0.7); + --dark-6: rgba(18, 19, 22, 0.6); + --dark-5: rgba(18, 19, 22, 0.5); + --dark-4: rgba(18, 19, 22, 0.4); + --dark-35: rgba(18, 19, 22, 0.35); + --dark-3: rgba(18, 19, 22, 0.3); + --dark-2: rgba(18, 19, 22, 0.2); + --dark-1: rgba(18, 19, 22, 0.1); + + --black: rgba(0, 0, 0, 1); + --black-9: rgba(0, 0, 0, 0.9); + --black-8: rgba(0, 0, 0, 0.8); + --black-7: rgba(0, 0, 0, 0.7); + --black-6: rgba(0, 0, 0, 0.6); + --black-5: rgba(0, 0, 0, 0.5); + --black-4: rgba(0, 0, 0, 0.4); + --black-3: rgba(0, 0, 0, 0.3); + --black-2: rgba(0, 0, 0, 0.2); + --black-1: rgba(0, 0, 0, 0.1); + --black-06: rgba(0, 0, 0, 0.06); + + --white: rgba(255, 255, 255, 1); + --white-95: rgba(255, 255, 255, 0.95); + --white-9: rgba(255, 255, 255, 0.9); + --white-8: rgba(255, 255, 255, 0.8); + --white-7: rgba(255, 255, 255, 0.7); + --white-6: rgba(255, 255, 255, 0.6); + --white-5: rgba(255, 255, 255, 0.5); + --white-4: rgba(255, 255, 255, 0.4); + --white-3: rgba(255, 255, 255, 0.3); + --white-2: rgba(255, 255, 255, 0.2); + --white-1: rgba(255, 255, 255, 0.1); + + --blue-1: rgba(230, 242, 255, 1); + --blue-2: rgba(179, 214, 255, 1); + --blue-3: rgba(94, 155, 247, 1); + --blue-4: rgba(13, 83, 222, 1); + --blue-5: rgba(2, 56, 184, 1); + --blue-6: rgba(52, 119, 235, 1); + + --grey-1: rgba(248, 249, 250, 1); + --grey-2: rgba(249, 249, 249, 1); + --grey-3: rgba(244, 245, 249, 1); + --grey-4: rgba(235, 236, 240, 1); + --grey-5: rgba(215, 216, 221, 1); + --grey-6: rgba(180, 182, 188, 1); + --grey-7: rgba(147, 150, 157, 1); + --grey-8: rgba(70, 74, 83, 1); + --grey-9: rgba(129, 135, 149, 1); + + --red-1: rgba(255, 117, 102, 1); + --red-2: rgba(207, 45, 39, 1); + --red-3: rgba(255, 136, 0, 1); + --red-4: rgba(245, 72, 59, 1); + + --yellow-1: rgba(255, 239, 158, 1); + // theme color ------end + + // size -------start + --screen-min-width: 1200px; + --screen-min-height: 540px; + --sidebar-mini: 56px; + --sidebar-normal: 152px; + --header-height: 44px; + // size -------end +} + +@scrollWidth: 8px; diff --git a/frontend/React/src/vite-env.d.ts b/frontend/React/src/vite-env.d.ts new file mode 100644 index 0000000000000000000000000000000000000000..d81164dcafcc8cb873e1b4460af25704ffac5028 --- /dev/null +++ b/frontend/React/src/vite-env.d.ts @@ -0,0 +1,9 @@ +/// + +interface ImportMetaEnv { + readonly VITE_SSO_URL: string; +} + +interface ImportMeta { + readonly env: ImportMetaEnv; +} diff --git a/frontend/React/tsconfig.json b/frontend/React/tsconfig.json new file mode 100644 index 0000000000000000000000000000000000000000..c1e581c698a694ecb5d7843255f658bdd7929212 --- /dev/null +++ b/frontend/React/tsconfig.json @@ -0,0 +1,24 @@ +{ + "compilerOptions": { + "target": "ES5", + "useDefineForClassFields": true, + "lib": ["DOM", "DOM.Iterable", "ESNext"], + "allowJs": false, + "skipLibCheck": true, + "esModuleInterop": false, + "allowSyntheticDefaultImports": true, + "strict": true, + "forceConsistentCasingInFileNames": true, + "module": "ESNext", + "moduleResolution": "Node", + "resolveJsonModule": true, + "isolatedModules": true, + "noEmit": true, + "jsx": "react-jsx", + "baseUrl": "./", + "paths": { + "@/*": ["src/*"] + } + }, + "include": ["src"] +} diff --git a/frontend/React/vite.config.ts b/frontend/React/vite.config.ts new file mode 100644 index 0000000000000000000000000000000000000000..7b7ecdce9d9f8a03baca0a5df45faa6d1f40e58b --- /dev/null +++ b/frontend/React/vite.config.ts @@ -0,0 +1,62 @@ +import { defineConfig } from "vite"; +import react from "@vitejs/plugin-react"; +import path from "path"; +import legacy from "@vitejs/plugin-legacy"; + +// https://vitejs.dev/config/ +export default defineConfig({ + plugins: [ + react({ + babel: { + plugins: [ + "@babel/plugin-proposal-optional-chaining", // 兼容老版本浏览器的语法解译 + ], + }, + }), + legacy({ + targets: ["defaults", "ie >= 11", "chrome >= 52"], //需要兼容的目标列表，可以设置多个 + additionalLegacyPolyfills: ["regenerator-runtime/runtime"], + renderLegacyChunks: true, + polyfills: [ + "es.symbol", + "es.array.filter", + "es.promise", + "es.promise.finally", + "es/map", + "es/set", + "es.array.for-each", + "es.object.define-properties", + "es.object.define-property", + "es.object.get-own-property-descriptor", + "es.object.get-own-property-descriptors", + "es.object.keys", + "es.object.to-string", + "web.dom-collections.for-each", + "esnext.global-this", + "esnext.string.match-all", + ], + }), + ], + build: { + target: "es5", + }, + resolve: { + alias: { + "@": path.resolve(__dirname, "src"), + }, + }, + css: { + modules: { + localsConvention: "camelCase", + }, + }, + server: { + port: 8080, + proxy: { + "/solve": { + target: "", + changeOrigin: true, + }, + }, + }, +}); diff --git a/frontend/css/gradio_front.css b/frontend/css/gradio_front.css new file mode 100644 index 0000000000000000000000000000000000000000..1cb4671dd3f58eecacf09acbd89854935880ba19 --- /dev/null +++ b/frontend/css/gradio_front.css @@ -0,0 +1,82 @@ +.gradio-container.gradio-container-4-44-0.svelte-wpkpf6.app { + + /* /* background-image:url('https://images.unsplash.com/photo-1577563908411-5077b6dc7624?ixlib=rb-4.0.3&q=85&fm=jpg&crop=entropy&cs=srgb&dl=volodymyr-hryshchenko-V5vqWC9gyEU-unsplash.jpg&w=2400'); */ + background-image: url('https://github.com/InternLM/MindSearch/blob/main/frontend/React/src/assets/background.png?raw=true'); + background-size: cover; + /*整张图片覆盖页面*/ + background-position: center; + background-repeat: no-repeat; + background-color: #f9fafb; +} + +.logo { + width: 150px; +} + +.chatbot-container { + height: auto; + max-height: 600px; + /* Maximum height for chatbots */ + overflow-y: auto; +} + +/* Style the main chat bar container */ +.chat-box { + background-color: #f9fafb; + border-radius: 8px; + padding: 10px; + display: flex; + align-items: center; +} + +/* Style the text input area */ +.editor { + border: none; + background-color: transparent; + padding: 5px; + width: 100%; + font-size: 16px; + flex: 9; + /* Allow the input to grow */ +} + + + +.toolbarButton { + padding: 5px 10px; + /* Reduce padding to make buttons smaller */ + font-size: 14px; + /* Adjust font size if needed */ + margin-left: 10px; + /* Add spacing between buttons */ +} + +.examples-container { + margin-top: 2px; + /* Reduced margin */ +} + +.flex-wrap.user.svelte-1e1jlin.svelte-1e1jlin.svelte-1e1jlin { + background-color: #93c5fd; +} + +#component-10 { + color: #f9fafb; + gap: 0px; +} + +#component-16 { + gap: 0px; +} + +#component-9 { + color: #f9fafb; +} + +#component-1 { + color: #f9fafb; +} + +.gradio-app.gradio-container.gradio-container-4-44-0.contain.chat-box { + background-color: #f9fafb; +} \ No newline at end of file diff --git a/frontend/mindsearch_gradio.py b/frontend/mindsearch_gradio.py new file mode 100644 index 0000000000000000000000000000000000000000..26c530048831744ac43c9fa0dc5bed669203b536 --- /dev/null +++ b/frontend/mindsearch_gradio.py @@ -0,0 +1,309 @@ +import json +import mimetypes +import os +import sys +import tempfile + +import gradio as gr +import requests + +sys.path.insert(0, os.path.dirname(__file__)) + +import schemdraw +from gradio_agentchatbot.agentchatbot import AgentChatbot +from gradio_agentchatbot.utils import ChatFileMessage, ChatMessage, ThoughtMetadata +from lagent.schema import AgentStatusCode +from schemdraw import flow + +PLANNER_HISTORY = [] +SEARCHER_HISTORY = [] + + +def create_search_graph(adjacency_list: dict): + import matplotlib.pyplot as plt + + plt.rcParams["font.sans-serif"] = ["SimHei"] + + with schemdraw.Drawing(fontsize=10, unit=1) as graph: + node_pos, nodes, edges = {}, {}, [] + if "root" in adjacency_list: + queue, layer, response_level = ["root"], 0, 0 + while queue: + layer_len = len(queue) + for i in range(layer_len): + node_name = queue.pop(0) + node_pos[node_name] = (layer * 5, -i * 3) + for item in adjacency_list[node_name]: + if item["name"] == "response": + response_level = max(response_level, (layer + 1) * 5) + else: + queue.append(item["name"]) + edges.append((node_name, item["name"])) + layer += 1 + for node_name, (x, y) in node_pos.items(): + if node_name == "root": + node = flow.Terminal().label(node_name).at((x, y)).color("pink") + else: + node = flow.RoundBox(w=3.5, h=1.75).label(node_name).at((x, y)).color("teal") + nodes[node_name] = node + if response_level: + response_node = ( + flow.Terminal().label("response").at((response_level, 0)).color("orange") + ) + nodes["response"] = response_node + for start, end in edges: + flow.Arc3(arrow="->").linestyle("--" if end == "response" else "-").at( + nodes[start].E + ).to(nodes[end].W).color("grey" if end == "response" else "lightblue") + return graph + + +def draw_search_graph(adjacency_list: dict, suffix=".png", dpi=360) -> str: + g = create_search_graph(adjacency_list) + path = tempfile.mktemp(suffix=suffix) + g.save(path, dpi=dpi) + return path + + +def rst_mem(): + """Reset the chatbot memory.""" + if PLANNER_HISTORY: + PLANNER_HISTORY.clear() + return [], [], 0 + + +def format_response(gr_history, message, response, idx=-1): + if idx < 0: + idx = len(gr_history) + idx + if message["stream_state"] == AgentStatusCode.STREAM_ING: + gr_history[idx].content = response + elif message["stream_state"] == AgentStatusCode.CODING: + if gr_history[idx].thought_metadata.tool_name is None: + gr_history[idx].content = gr_history[idx].content.split("<|action_start|>")[0] + gr_history.insert( + idx + 1, + ChatMessage( + role="assistant", + content=response, + thought_metadata=ThoughtMetadata(tool_name="🖥️ Code Interpreter"), + ), + ) + else: + gr_history[idx].content = response + elif message["stream_state"] == AgentStatusCode.PLUGIN_START: + if isinstance(response, dict): + response = json.dumps(response, ensure_ascii=False, indent=4) + if gr_history[idx].thought_metadata.tool_name is None: + gr_history[idx].content = gr_history[idx].content.split("<|action_start|>")[0] + gr_history.insert( + idx + 1, + ChatMessage( + role="assistant", + content="```json\n" + response, + thought_metadata=ThoughtMetadata(tool_name="🌐 Web Browser"), + ), + ) + else: + gr_history[idx].content = "```json\n" + response + elif message["stream_state"] == AgentStatusCode.PLUGIN_END and isinstance(response, dict): + gr_history[idx].content = ( + f"```json\n{json.dumps(response, ensure_ascii=False, indent=4)}\n```" + ) + elif message["stream_state"] in [AgentStatusCode.CODE_RETURN, AgentStatusCode.PLUGIN_RETURN]: + try: + content = json.loads(message["content"]) + except json.decoder.JSONDecodeError: + content = message["content"] + if gr_history[idx].thought_metadata.tool_name: + gr_history.insert( + idx + 1, + ChatMessage( + role="assistant", + content=( + content + if isinstance(content, str) + else f"\n```json\n{json.dumps(content, ensure_ascii=False, indent=4)}\n```\n" + ), + thought_metadata=ThoughtMetadata(tool_name="Execution"), + ), + ) + gr_history.insert(idx + 2, ChatMessage(role="assistant", content="")) + + +def predict(history_planner, history_searcher, node_cnt): + + def streaming(raw_response): + for chunk in raw_response.iter_lines( + chunk_size=8192, decode_unicode=False, delimiter=b"\n" + ): + if chunk: + decoded = chunk.decode("utf-8") + if decoded == "\r": + continue + if decoded[:6] == "data: ": + decoded = decoded[6:] + elif decoded.startswith(": ping - "): + continue + response = json.loads(decoded) + yield ( + response["current_node"], + ( + response["response"]["formatted"]["node"][response["current_node"]] + if response["current_node"] + else response["response"] + ), + response["response"]["formatted"]["adjacency_list"], + ) + + global PLANNER_HISTORY + PLANNER_HISTORY.extend(history_planner[-3:]) + search_graph_msg = history_planner[-1] + + url = "http://localhost:8002/solve" + data = {"inputs": PLANNER_HISTORY[-3].content} + raw_response = requests.post(url, json=data, timeout=60, stream=True) + + node_id2msg_idx = {} + for resp in streaming(raw_response): + node_name, agent_message, adjacency_list = resp + dedup_nodes = set(adjacency_list) | { + val["name"] for vals in adjacency_list.values() for val in vals + } + if dedup_nodes and len(dedup_nodes) != node_cnt: + node_cnt = len(dedup_nodes) + graph_path = draw_search_graph(adjacency_list) + search_graph_msg.file.path = graph_path + search_graph_msg.file.mime_type = mimetypes.guess_type(graph_path)[0] + if node_name: + if node_name in ["root", "response"]: + continue + node_id = f'【{node_name}】{agent_message["content"]}' + agent_message = agent_message["response"] + response = ( + agent_message["formatted"]["action"] + if agent_message["stream_state"] + in [AgentStatusCode.PLUGIN_START, AgentStatusCode.PLUGIN_END] + else agent_message["formatted"] and agent_message["formatted"].get("thought") + ) + if node_id not in node_id2msg_idx: + node_id2msg_idx[node_id] = len(history_searcher) + 1 + history_searcher.append(ChatMessage(role="user", content=node_id)) + history_searcher.append(ChatMessage(role="assistant", content="")) + offset = len(history_searcher) + format_response(history_searcher, agent_message, response, node_id2msg_idx[node_id]) + flag, incr = False, len(history_searcher) - offset + for key, value in node_id2msg_idx.items(): + if flag or key == node_id: + node_id2msg_idx[key] = value + incr + if not flag: + flag = True + yield history_planner, history_searcher, node_cnt + else: + response = ( + agent_message["formatted"]["action"] + if agent_message["stream_state"] + in [AgentStatusCode.CODING, AgentStatusCode.CODE_END] + else agent_message["formatted"] and agent_message["formatted"].get("thought") + ) + format_response(history_planner, agent_message, response, -2) + if agent_message["stream_state"] == AgentStatusCode.END: + PLANNER_HISTORY = history_planner + yield history_planner, history_searcher, node_cnt + return history_planner, history_searcher, node_cnt + + +with gr.Blocks(css=os.path.join(os.path.dirname(__file__), "css", "gradio_front.css")) as demo: + with gr.Column(elem_classes="chat-box"): + gr.HTML("""

    MindSearch Gradio Demo

    """) + gr.HTML( + """

    + MindSearch is an open-source AI Search Engine Framework with Perplexity.ai Pro performance. + You can deploy your own Perplexity.ai-style search engine using either + closed-source LLMs (GPT, Claude) + or open-source LLMs (InternLM2.5-7b-chat).

    """ + ) + gr.HTML( + """ + """ + ) + gr.HTML( + """ +

    """ + ) + node_count = gr.State(0) + with gr.Row(): + planner = AgentChatbot( + label="planner", + height=600, + show_label=True, + show_copy_button=True, + bubble_full_width=False, + render_markdown=True, + elem_classes="chatbot-container", + ) + searcher = AgentChatbot( + label="searcher", + height=600, + show_label=True, + show_copy_button=True, + bubble_full_width=False, + render_markdown=True, + elem_classes="chatbot-container", + ) + with gr.Row(elem_classes="chat-box"): + # Text input area + user_input = gr.Textbox( + show_label=False, + placeholder="Type your message...", + lines=1, + container=False, + elem_classes="editor", + scale=4, + ) + # Buttons (now in the same Row) + submitBtn = gr.Button("submit", variant="primary", elem_classes="toolbarButton", scale=1) + clearBtn = gr.Button("clear", variant="secondary", elem_classes="toolbarButton", scale=1) + with gr.Row(elem_classes="examples-container"): + examples_component = gr.Examples( + [ + ["Find legal precedents in contract law."], + ["What are the top 10 e-commerce websites?"], + ["Generate a report on global climate change."], + ], + inputs=user_input, + label="Try these examples:", + ) + + def user(query, history): + history.append(ChatMessage(role="user", content=query)) + history.append(ChatMessage(role="assistant", content="")) + graph_path = draw_search_graph({"root": []}) + history.append( + ChatFileMessage( + role="assistant", + file=gr.FileData(path=graph_path, mime_type=mimetypes.guess_type(graph_path)[0]), + ) + ) + return "", history + + submitBtn.click(user, [user_input, planner], [user_input, planner], queue=False).then( + predict, + [planner, searcher, node_count], + [planner, searcher, node_count], + ) + clearBtn.click(rst_mem, None, [planner, searcher, node_count], queue=False) + +demo.queue() +demo.launch(server_name="127.0.0.1", server_port=7882, inbrowser=True, share=False) diff --git a/frontend/mindsearch_streamlit.py b/frontend/mindsearch_streamlit.py new file mode 100644 index 0000000000000000000000000000000000000000..2f67a54a086cdddf653cbf66e81360a920659b61 --- /dev/null +++ b/frontend/mindsearch_streamlit.py @@ -0,0 +1,307 @@ +import json +import tempfile + +import requests +import streamlit as st +from lagent.schema import AgentStatusCode +from pyvis.network import Network + + +# Function to create the network graph +def create_network_graph(nodes, adjacency_list): + net = Network(height="500px", width="60%", bgcolor="white", font_color="black") + for node_id, node_content in nodes.items(): + net.add_node(node_id, label=node_id, title=node_content, color="#FF5733", size=25) + for node_id, neighbors in adjacency_list.items(): + for neighbor in neighbors: + if neighbor["name"] in nodes: + net.add_edge(node_id, neighbor["name"]) + net.show_buttons(filter_=["physics"]) + return net + + +# Function to draw the graph and return the HTML file path +def draw_graph(net): + path = tempfile.mktemp(suffix=".html") + net.save_graph(path) + return path + + +def streaming(raw_response): + for chunk in raw_response.iter_lines(chunk_size=8192, decode_unicode=False, delimiter=b"\n"): + if chunk: + decoded = chunk.decode("utf-8") + if decoded == "\r": + continue + if decoded[:6] == "data: ": + decoded = decoded[6:] + elif decoded.startswith(": ping - "): + continue + response = json.loads(decoded) + yield ( + response["current_node"], + ( + response["response"]["formatted"]["node"][response["current_node"]]["response"] + if response["current_node"] + else response["response"] + ), + response["response"]["formatted"]["adjacency_list"], + ) + + +# Initialize Streamlit session state +if "queries" not in st.session_state: + st.session_state["queries"] = [] + st.session_state["responses"] = [] + st.session_state["graphs_html"] = [] + st.session_state["nodes_list"] = [] + st.session_state["adjacency_list_list"] = [] + st.session_state["history"] = [] + st.session_state["already_used_keys"] = list() + +# Set up page layout +st.set_page_config(layout="wide") +st.title("MindSearch-思索") + + +# Function to update chat +def update_chat(query): + with st.chat_message("user"): + st.write(query) + if query not in st.session_state["queries"]: + # Mock data to simulate backend response + # response, history, nodes, adjacency_list + st.session_state["queries"].append(query) + st.session_state["responses"].append([]) + history = None + # 暂不支持多轮 + # message = [dict(role='user', content=query)] + + url = "http://localhost:8002/solve" + headers = {"Content-Type": "application/json"} + data = {"inputs": query} + raw_response = requests.post( + url, headers=headers, data=json.dumps(data), timeout=20, stream=True + ) + + _nodes, _node_cnt = {}, 0 + for resp in streaming(raw_response): + node_name, response, adjacency_list = resp + for name in set(adjacency_list) | { + val["name"] for vals in adjacency_list.values() for val in vals + }: + if name not in _nodes: + _nodes[name] = query if name == "root" else name + elif response["stream_state"] == 0: + _nodes[node_name or "response"] = response["formatted"] and response[ + "formatted" + ].get("thought") + if len(_nodes) != _node_cnt or response["stream_state"] == 0: + net = create_network_graph(_nodes, adjacency_list) + graph_html_path = draw_graph(net) + with open(graph_html_path, encoding="utf-8") as f: + graph_html = f.read() + _node_cnt = len(_nodes) + else: + graph_html = None + if "graph_placeholder" not in st.session_state: + st.session_state["graph_placeholder"] = st.empty() + if "expander_placeholder" not in st.session_state: + st.session_state["expander_placeholder"] = st.empty() + if graph_html: + with st.session_state["expander_placeholder"].expander( + "Show Graph", expanded=False + ): + st.session_state["graph_placeholder"]._html(graph_html, height=500) + if "container_placeholder" not in st.session_state: + st.session_state["container_placeholder"] = st.empty() + with st.session_state["container_placeholder"].container(): + if "columns_placeholder" not in st.session_state: + st.session_state["columns_placeholder"] = st.empty() + col1, col2 = st.session_state["columns_placeholder"].columns([2, 1]) + with col1: + if "planner_placeholder" not in st.session_state: + st.session_state["planner_placeholder"] = st.empty() + if "session_info_temp" not in st.session_state: + st.session_state["session_info_temp"] = "" + if not node_name: + if response["stream_state"] in [ + AgentStatusCode.STREAM_ING, + AgentStatusCode.CODING, + AgentStatusCode.CODE_END, + ]: + content = response["formatted"]["thought"] + if response["formatted"]["tool_type"]: + action = response["formatted"]["action"] + if isinstance(action, dict): + action = json.dumps(action, ensure_ascii=False, indent=4) + content += "\n" + action + st.session_state["session_info_temp"] = content.replace( + "<|action_start|><|interpreter|>\n", "\n" + ) + elif response["stream_state"] == AgentStatusCode.CODE_RETURN: + # assert history[-1]["role"] == "environment" + st.session_state["session_info_temp"] += "\n" + response["content"] + st.session_state["planner_placeholder"].markdown( + st.session_state["session_info_temp"] + ) + if response["stream_state"] == AgentStatusCode.CODE_RETURN: + st.session_state["responses"][-1].append( + st.session_state["session_info_temp"] + ) + st.session_state["session_info_temp"] = "" + else: + st.session_state["planner_placeholder"].markdown( + st.session_state["responses"][-1][-1] + if not st.session_state["session_info_temp"] + else st.session_state["session_info_temp"] + ) + with col2: + if "selectbox_placeholder" not in st.session_state: + st.session_state["selectbox_placeholder"] = st.empty() + if "searcher_placeholder" not in st.session_state: + st.session_state["searcher_placeholder"] = st.empty() + if node_name: + selected_node_key = ( + f"selected_node_{len(st.session_state['queries'])}_{node_name}" + ) + if selected_node_key not in st.session_state: + st.session_state[selected_node_key] = node_name + if selected_node_key not in st.session_state["already_used_keys"]: + selected_node = st.session_state["selectbox_placeholder"].selectbox( + "Select a node:", + list(_nodes.keys()), + key=f"key_{selected_node_key}", + index=list(_nodes.keys()).index(node_name), + ) + st.session_state["already_used_keys"].append(selected_node_key) + else: + selected_node = node_name + st.session_state[selected_node_key] = selected_node + node_info_key = f"{selected_node}_info" + if node_info_key not in st.session_state: + st.session_state[node_info_key] = [["thought", ""]] + if response["stream_state"] in [AgentStatusCode.STREAM_ING]: + content = response["formatted"]["thought"] + st.session_state[node_info_key][-1][1] = content.replace( + "<|action_start|><|plugin|>\n", "\n```json\n" + ) + elif response["stream_state"] in [ + AgentStatusCode.PLUGIN_START, + AgentStatusCode.PLUGIN_END, + ]: + thought = response["formatted"]["thought"] + action = response["formatted"]["action"] + if isinstance(action, dict): + action = json.dumps(action, ensure_ascii=False, indent=4) + content = thought + "\n```json\n" + action + if response["stream_state"] == AgentStatusCode.PLUGIN_RETURN: + content += "\n```" + st.session_state[node_info_key][-1][1] = content + elif ( + response["stream_state"] == AgentStatusCode.PLUGIN_RETURN + and st.session_state[node_info_key][-1][1] + ): + try: + content = json.loads(response["content"]) + except json.decoder.JSONDecodeError: + content = response["content"] + st.session_state[node_info_key].append( + [ + "observation", + ( + content + if isinstance(content, str) + else f"```json\n{json.dumps(content, ensure_ascii=False, indent=4)}\n```" + ), + ] + ) + st.session_state["searcher_placeholder"].markdown( + st.session_state[node_info_key][-1][1] + ) + if ( + response["stream_state"] == AgentStatusCode.PLUGIN_RETURN + and st.session_state[node_info_key][-1][1] + ): + st.session_state[node_info_key].append(["thought", ""]) + if st.session_state["session_info_temp"]: + st.session_state["responses"][-1].append(st.session_state["session_info_temp"]) + st.session_state["session_info_temp"] = "" + # st.session_state['responses'][-1] = '\n'.join(st.session_state['responses'][-1]) + st.session_state["graphs_html"].append(graph_html) + st.session_state["nodes_list"].append(_nodes) + st.session_state["adjacency_list_list"].append(adjacency_list) + st.session_state["history"] = history + + +def display_chat_history(): + for i, query in enumerate(st.session_state["queries"][-1:]): + # with st.chat_message('assistant'): + if st.session_state["graphs_html"][i]: + with st.session_state["expander_placeholder"].expander("Show Graph", expanded=False): + st.session_state["graph_placeholder"]._html( + st.session_state["graphs_html"][i], height=500 + ) + with st.session_state["container_placeholder"].container(): + col1, col2 = st.session_state["columns_placeholder"].columns([2, 1]) + with col1: + st.session_state["planner_placeholder"].markdown( + st.session_state["responses"][-1][-1] + ) + with col2: + selected_node_key = st.session_state["already_used_keys"][-1] + st.session_state["selectbox_placeholder"] = st.empty() + selected_node = st.session_state["selectbox_placeholder"].selectbox( + "Select a node:", + list(st.session_state["nodes_list"][i].keys()), + key=f"replay_key_{i}", + index=list(st.session_state["nodes_list"][i].keys()).index( + st.session_state[selected_node_key] + ), + ) + st.session_state[selected_node_key] = selected_node + if ( + selected_node not in ["root", "response"] + and selected_node in st.session_state["nodes_list"][i] + ): + node_info_key = f"{selected_node}_info" + for item in st.session_state[node_info_key]: + if item[0] in ["thought", "answer"]: + st.session_state["searcher_placeholder"] = st.empty() + st.session_state["searcher_placeholder"].markdown(item[1]) + elif item[0] == "observation": + st.session_state["observation_expander"] = st.empty() + with st.session_state["observation_expander"].expander("Results"): + st.write(item[1]) + # st.session_state['searcher_placeholder'].markdown(st.session_state[node_info_key]) + + +def clean_history(): + st.session_state["queries"] = [] + st.session_state["responses"] = [] + st.session_state["graphs_html"] = [] + st.session_state["nodes_list"] = [] + st.session_state["adjacency_list_list"] = [] + st.session_state["history"] = [] + st.session_state["already_used_keys"] = list() + for k in st.session_state: + if k.endswith("placeholder") or k.endswith("_info"): + del st.session_state[k] + + +# Main function to run the Streamlit app +def main(): + st.sidebar.title("Model Control") + col1, col2 = st.columns([4, 1]) + with col1: + user_input = st.chat_input("Enter your query:") + with col2: + if st.button("Clear History"): + clean_history() + if user_input: + update_chat(user_input) + display_chat_history() + + +if __name__ == "__main__": + main() diff --git a/gradio_agentchatbot/__init__.py b/gradio_agentchatbot/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..65046ce8d0da52bc2d450b170c4fa66ae044baeb --- /dev/null +++ b/gradio_agentchatbot/__init__.py @@ -0,0 +1,15 @@ +# This component is modified from gradio_agentchatbot: +# - https://huggingface.co/spaces/freddyaboulton/gradio_agentchatbot/tree/main/src/backend/gradio_agentchatbot + +from .agentchatbot import AgentChatbot, ChatbotData +from .utils import ChatFileMessage, ChatMessage, Message, ThoughtMetadata + +__all__ = [ + "AgentChatbot", + "ChatbotData", + "stream_from_transformers_agent", + "ChatMessage", + "ThoughtMetadata", + "ChatFileMessage", + "Message", +] diff --git a/gradio_agentchatbot/__pycache__/__init__.cpython-310.pyc b/gradio_agentchatbot/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..aca97cf9750fb591bf194ab2f615c381d4b0b7ab Binary files /dev/null and b/gradio_agentchatbot/__pycache__/__init__.cpython-310.pyc differ diff --git a/gradio_agentchatbot/__pycache__/__init__.cpython-312.pyc b/gradio_agentchatbot/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..b0e37c256c98e769035a1aa318e0f5d8c1c5edf0 Binary files /dev/null and b/gradio_agentchatbot/__pycache__/__init__.cpython-312.pyc differ diff --git a/gradio_agentchatbot/__pycache__/agentchatbot.cpython-310.pyc b/gradio_agentchatbot/__pycache__/agentchatbot.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..7b4394a8d113729e4cb1d18f52d4ac33f4b6424a Binary files /dev/null and b/gradio_agentchatbot/__pycache__/agentchatbot.cpython-310.pyc differ diff --git a/gradio_agentchatbot/__pycache__/agentchatbot.cpython-312.pyc b/gradio_agentchatbot/__pycache__/agentchatbot.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..47bceab4752c29b2904f09456e9b0595ae4d0414 Binary files /dev/null and b/gradio_agentchatbot/__pycache__/agentchatbot.cpython-312.pyc differ diff --git a/gradio_agentchatbot/__pycache__/utils.cpython-310.pyc b/gradio_agentchatbot/__pycache__/utils.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..f0f0ee6d13b42670d9116a1b7c1d63091477204f Binary files /dev/null and b/gradio_agentchatbot/__pycache__/utils.cpython-310.pyc differ diff --git a/gradio_agentchatbot/__pycache__/utils.cpython-312.pyc b/gradio_agentchatbot/__pycache__/utils.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..5d40cef36f37574a595a0578a96728a48c6330db Binary files /dev/null and b/gradio_agentchatbot/__pycache__/utils.cpython-312.pyc differ diff --git a/gradio_agentchatbot/agentchatbot.py b/gradio_agentchatbot/agentchatbot.py new file mode 100644 index 0000000000000000000000000000000000000000..5ed1131788c5b98a4349dd77bdc504030a009215 --- /dev/null +++ b/gradio_agentchatbot/agentchatbot.py @@ -0,0 +1,192 @@ +"""gr.Chatbot() component.""" + +from __future__ import annotations + +from pathlib import Path +from typing import Any, Callable, Literal + +from gradio import utils +from gradio.components.base import Component +from gradio.events import Events +from gradio.processing_utils import move_resource_to_block_cache +from gradio_client import utils as client_utils + +from .utils import ChatbotData, ChatFileMessage, ChatMessage, FileData + + +class AgentChatbot(Component): + """ + Creates a chatbot that displays user-submitted messages and responses. Supports a subset of Markdown including bold, italics, code, tables. + Also supports audio/video/image files, which are displayed in the AgentChatbot, and other kinds of files which are displayed as links. This + component is usually used as an output component. + + Demos: chatbot_simple, chatbot_multimodal + Guides: creating-a-chatbot + """ + + EVENTS = [Events.change] + data_model = ChatbotData + + def __init__( + self, + value: list[dict[str, Any]] | Callable | None = None, + *, + label: str | None = None, + every: float | None = None, + show_label: bool | None = None, + container: bool = True, + scale: int | None = None, + min_width: int = 160, + visible: bool = True, + elem_id: str | None = None, + elem_classes: list[str] | str | None = None, + render: bool = True, + key: int | str | None = None, + height: int | str | None = None, + latex_delimiters: list[dict[str, str | bool]] | None = None, + rtl: bool = False, + show_share_button: bool | None = None, + show_copy_button: bool = False, + avatar_images: tuple[str | Path | None, str | Path | None] | None = None, + sanitize_html: bool = True, + render_markdown: bool = True, + bubble_full_width: bool = True, + line_breaks: bool = True, + likeable: bool = False, + layout: Literal["panel", "bubble"] | None = None, + placeholder: str | None = None, + ): + """ + Parameters: + value: Default value to show in chatbot. If callable, the function will be called whenever the app loads to set the initial value of the component. + label: The label for this component. Appears above the component and is also used as the header if there are a table of examples for this component. If None and used in a `gr.Interface`, the label will be the name of the parameter this component is assigned to. + every: If `value` is a callable, run the function 'every' number of seconds while the client connection is open. Has no effect otherwise. The event can be accessed (e.g. to cancel it) via this component's .load_event attribute. + show_label: if True, will display label. + container: If True, will place the component in a container - providing some extra padding around the border. + scale: relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True. + min_width: minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first. + visible: If False, component will be hidden. + elem_id: An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles. + elem_classes: An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles. + render: If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later. + key: if assigned, will be used to assume identity across a re-render. Components that have the same key across a re-render will have their value preserved. + height: The height of the component, specified in pixels if a number is passed, or in CSS units if a string is passed. + latex_delimiters: A list of dicts of the form {"left": open delimiter (str), "right": close delimiter (str), "display": whether to display in newline (bool)} that will be used to render LaTeX expressions. If not provided, `latex_delimiters` is set to `[{ "left": "$$", "right": "$$", "display": True }]`, so only expressions enclosed in $$ delimiters will be rendered as LaTeX, and in a new line. Pass in an empty list to disable LaTeX rendering. For more information, see the [KaTeX documentation](https://katex.org/docs/autorender.html). + rtl: If True, sets the direction of the rendered text to right-to-left. Default is False, which renders text left-to-right. + show_share_button: If True, will show a share icon in the corner of the component that allows user to share outputs to Hugging Face Spaces Discussions. If False, icon does not appear. If set to None (default behavior), then the icon appears if this Gradio app is launched on Spaces, but not otherwise. + show_copy_button: If True, will show a copy button for each chatbot message. + avatar_images: Tuple of two avatar image paths or URLs for user and bot (in that order). Pass None for either the user or bot image to skip. Must be within the working directory of the Gradio app or an external URL. + sanitize_html: If False, will disable HTML sanitization for chatbot messages. This is not recommended, as it can lead to security vulnerabilities. + render_markdown: If False, will disable Markdown rendering for chatbot messages. + bubble_full_width: If False, the chat bubble will fit to the content of the message. If True (default), the chat bubble will be the full width of the component. + line_breaks: If True (default), will enable Github-flavored Markdown line breaks in chatbot messages. If False, single new lines will be ignored. Only applies if `render_markdown` is True. + likeable: Whether the chat messages display a like or dislike button. Set automatically by the .like method but has to be present in the signature for it to show up in the config. + layout: If "panel", will display the chatbot in a llm style layout. If "bubble", will display the chatbot with message bubbles, with the user and bot messages on alterating sides. Will default to "bubble". + placeholder: a placeholder message to display in the chatbot when it is empty. Centered vertically and horizontally in the AgentChatbot. Supports Markdown and HTML. If None, no placeholder is displayed. + """ + self.likeable = likeable + self.height = height + self.rtl = rtl + if latex_delimiters is None: + latex_delimiters = [{"left": "$$", "right": "$$", "display": True}] + self.latex_delimiters = latex_delimiters + self.show_share_button = ( + (utils.get_space() is not None) if show_share_button is None else show_share_button + ) + self.render_markdown = render_markdown + self.show_copy_button = show_copy_button + self.sanitize_html = sanitize_html + self.bubble_full_width = bubble_full_width + self.line_breaks = line_breaks + self.layout = layout + super().__init__( + label=label, + every=every, + show_label=show_label, + container=container, + scale=scale, + min_width=min_width, + visible=visible, + elem_id=elem_id, + elem_classes=elem_classes, + render=render, + key=key, + value=value, + ) + self.avatar_images: list[dict | None] = [None, None] + if avatar_images is None: + pass + else: + self.avatar_images = [ + self.serve_static_file(avatar_images[0]), + self.serve_static_file(avatar_images[1]), + ] + self.placeholder = placeholder + + def preprocess( + self, + payload: ChatbotData | None, + ) -> list[ChatMessage | ChatFileMessage] | None: + """ + Parameters: + payload: data as a ChatbotData object + Returns: + Passes the messages in the chatbot as a `list[list[str | None | tuple]]`, i.e. a list of lists. The inner list has 2 elements: the user message and the response message. Each message can be (1) a string in valid Markdown, (2) a tuple if there are displayed files: (a filepath or URL to a file, [optional string alt text]), or (3) None, if there is no message displayed. + """ + return payload.root + + def _postprocess_chat_messages(self, chat_message: ChatMessage) -> list[ChatMessage]: + if chat_message is None: + return None + + if isinstance(chat_message, ChatFileMessage): + chat_message.file.path = move_resource_to_block_cache( + chat_message.file.path, block=self + ) + return [chat_message] + + # extract file path from message + new_messages = [] + # for word in chat_message.content.split(" "): + # if (filepath := Path(word)).exists() and filepath.is_file(): + # filepath = move_resource_to_block_cache(filepath, block=self) + # mime_type = client_utils.get_mimetype(filepath) + # new_messages.append( + # ChatFileMessage( + # role=chat_message.role, + # thought=chat_message.thought, + # thought_metadata=chat_message.thought_metadata, + # file=FileData(path=filepath, mime_type=mime_type), + # ) + # ) + + return [chat_message, *new_messages] + + def postprocess( + self, + value: list[ChatMessage | ChatFileMessage] | None, + ) -> ChatbotData: + """ + Parameters: + value: expects a `list[list[str | None | tuple]]`, i.e. a list of lists. The inner list should have 2 elements: the user message and the response message. The individual messages can be (1) strings in valid Markdown, (2) tuples if sending files: (a filepath or URL to a file, [optional string alt text]) -- if the file is image/video/audio, it is displayed in the AgentChatbot, or (3) None, in which case the message is not displayed. + Returns: + an object of type ChatbotData + """ + if value is None: + return ChatbotData(root=[]) + processed_messages = [ + msg for message in value for msg in self._postprocess_chat_messages(message) + ] + return ChatbotData(root=processed_messages) + + def example_payload(self) -> Any: + return [ + ChatMessage(role="user", content="Hello!").model_dump(), + ChatMessage(role="assistant", content="How can I help you?").model_dump(), + ] + + def example_value(self) -> Any: + return [ + ChatMessage(role="user", content="Hello!"), + ChatMessage(role="assistant", content="How can I help you?"), + ] diff --git a/gradio_agentchatbot/agentchatbot.pyi b/gradio_agentchatbot/agentchatbot.pyi new file mode 100644 index 0000000000000000000000000000000000000000..682ffa1147e877a122c89dd4689085182a76f051 --- /dev/null +++ b/gradio_agentchatbot/agentchatbot.pyi @@ -0,0 +1,243 @@ +"""gr.Chatbot() component.""" + +from __future__ import annotations + +from pathlib import Path +from typing import Any, Callable, Literal + +from gradio import utils +from gradio.components.base import Component +from gradio.events import Events +from gradio.processing_utils import move_resource_to_block_cache +from gradio_client import utils as client_utils + +from .utils import ChatbotData, ChatFileMessage, ChatMessage, FileData + +from gradio.events import Dependency + +class AgentChatbot(Component): + """ + Creates a chatbot that displays user-submitted messages and responses. Supports a subset of Markdown including bold, italics, code, tables. + Also supports audio/video/image files, which are displayed in the AgentChatbot, and other kinds of files which are displayed as links. This + component is usually used as an output component. + + Demos: chatbot_simple, chatbot_multimodal + Guides: creating-a-chatbot + """ + + EVENTS = [Events.change] + data_model = ChatbotData + + def __init__( + self, + value: list[dict[str, Any]] | Callable | None = None, + *, + label: str | None = None, + every: float | None = None, + show_label: bool | None = None, + container: bool = True, + scale: int | None = None, + min_width: int = 160, + visible: bool = True, + elem_id: str | None = None, + elem_classes: list[str] | str | None = None, + render: bool = True, + key: int | str | None = None, + height: int | str | None = None, + latex_delimiters: list[dict[str, str | bool]] | None = None, + rtl: bool = False, + show_share_button: bool | None = None, + show_copy_button: bool = False, + avatar_images: tuple[str | Path | None, str | Path | None] | None = None, + sanitize_html: bool = True, + render_markdown: bool = True, + bubble_full_width: bool = True, + line_breaks: bool = True, + likeable: bool = False, + layout: Literal["panel", "bubble"] | None = None, + placeholder: str | None = None, + ): + """ + Parameters: + value: Default value to show in chatbot. If callable, the function will be called whenever the app loads to set the initial value of the component. + label: The label for this component. Appears above the component and is also used as the header if there are a table of examples for this component. If None and used in a `gr.Interface`, the label will be the name of the parameter this component is assigned to. + every: If `value` is a callable, run the function 'every' number of seconds while the client connection is open. Has no effect otherwise. The event can be accessed (e.g. to cancel it) via this component's .load_event attribute. + show_label: if True, will display label. + container: If True, will place the component in a container - providing some extra padding around the border. + scale: relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True. + min_width: minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first. + visible: If False, component will be hidden. + elem_id: An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles. + elem_classes: An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles. + render: If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later. + key: if assigned, will be used to assume identity across a re-render. Components that have the same key across a re-render will have their value preserved. + height: The height of the component, specified in pixels if a number is passed, or in CSS units if a string is passed. + latex_delimiters: A list of dicts of the form {"left": open delimiter (str), "right": close delimiter (str), "display": whether to display in newline (bool)} that will be used to render LaTeX expressions. If not provided, `latex_delimiters` is set to `[{ "left": "$$", "right": "$$", "display": True }]`, so only expressions enclosed in $$ delimiters will be rendered as LaTeX, and in a new line. Pass in an empty list to disable LaTeX rendering. For more information, see the [KaTeX documentation](https://katex.org/docs/autorender.html). + rtl: If True, sets the direction of the rendered text to right-to-left. Default is False, which renders text left-to-right. + show_share_button: If True, will show a share icon in the corner of the component that allows user to share outputs to Hugging Face Spaces Discussions. If False, icon does not appear. If set to None (default behavior), then the icon appears if this Gradio app is launched on Spaces, but not otherwise. + show_copy_button: If True, will show a copy button for each chatbot message. + avatar_images: Tuple of two avatar image paths or URLs for user and bot (in that order). Pass None for either the user or bot image to skip. Must be within the working directory of the Gradio app or an external URL. + sanitize_html: If False, will disable HTML sanitization for chatbot messages. This is not recommended, as it can lead to security vulnerabilities. + render_markdown: If False, will disable Markdown rendering for chatbot messages. + bubble_full_width: If False, the chat bubble will fit to the content of the message. If True (default), the chat bubble will be the full width of the component. + line_breaks: If True (default), will enable Github-flavored Markdown line breaks in chatbot messages. If False, single new lines will be ignored. Only applies if `render_markdown` is True. + likeable: Whether the chat messages display a like or dislike button. Set automatically by the .like method but has to be present in the signature for it to show up in the config. + layout: If "panel", will display the chatbot in a llm style layout. If "bubble", will display the chatbot with message bubbles, with the user and bot messages on alterating sides. Will default to "bubble". + placeholder: a placeholder message to display in the chatbot when it is empty. Centered vertically and horizontally in the AgentChatbot. Supports Markdown and HTML. If None, no placeholder is displayed. + """ + self.likeable = likeable + self.height = height + self.rtl = rtl + if latex_delimiters is None: + latex_delimiters = [{"left": "$$", "right": "$$", "display": True}] + self.latex_delimiters = latex_delimiters + self.show_share_button = ( + (utils.get_space() is not None) if show_share_button is None else show_share_button + ) + self.render_markdown = render_markdown + self.show_copy_button = show_copy_button + self.sanitize_html = sanitize_html + self.bubble_full_width = bubble_full_width + self.line_breaks = line_breaks + self.layout = layout + super().__init__( + label=label, + every=every, + show_label=show_label, + container=container, + scale=scale, + min_width=min_width, + visible=visible, + elem_id=elem_id, + elem_classes=elem_classes, + render=render, + key=key, + value=value, + ) + self.avatar_images: list[dict | None] = [None, None] + if avatar_images is None: + pass + else: + self.avatar_images = [ + self.serve_static_file(avatar_images[0]), + self.serve_static_file(avatar_images[1]), + ] + self.placeholder = placeholder + + def preprocess( + self, + payload: ChatbotData | None, + ) -> list[ChatMessage | ChatFileMessage] | None: + """ + Parameters: + payload: data as a ChatbotData object + Returns: + Passes the messages in the chatbot as a `list[list[str | None | tuple]]`, i.e. a list of lists. The inner list has 2 elements: the user message and the response message. Each message can be (1) a string in valid Markdown, (2) a tuple if there are displayed files: (a filepath or URL to a file, [optional string alt text]), or (3) None, if there is no message displayed. + """ + return payload.root + + def _postprocess_chat_messages(self, chat_message: ChatMessage) -> list[ChatMessage]: + if chat_message is None: + return None + + if isinstance(chat_message, ChatFileMessage): + chat_message.file.path = move_resource_to_block_cache( + chat_message.file.path, block=self + ) + return [chat_message] + + # extract file path from message + new_messages = [] + # for word in chat_message.content.split(" "): + # if (filepath := Path(word)).exists() and filepath.is_file(): + # filepath = move_resource_to_block_cache(filepath, block=self) + # mime_type = client_utils.get_mimetype(filepath) + # new_messages.append( + # ChatFileMessage( + # role=chat_message.role, + # thought=chat_message.thought, + # thought_metadata=chat_message.thought_metadata, + # file=FileData(path=filepath, mime_type=mime_type), + # ) + # ) + + return [chat_message, *new_messages] + + def postprocess( + self, + value: list[ChatMessage | ChatFileMessage] | None, + ) -> ChatbotData: + """ + Parameters: + value: expects a `list[list[str | None | tuple]]`, i.e. a list of lists. The inner list should have 2 elements: the user message and the response message. The individual messages can be (1) strings in valid Markdown, (2) tuples if sending files: (a filepath or URL to a file, [optional string alt text]) -- if the file is image/video/audio, it is displayed in the AgentChatbot, or (3) None, in which case the message is not displayed. + Returns: + an object of type ChatbotData + """ + if value is None: + return ChatbotData(root=[]) + processed_messages = [ + msg for message in value for msg in self._postprocess_chat_messages(message) + ] + return ChatbotData(root=processed_messages) + + def example_payload(self) -> Any: + return [ + ChatMessage(role="user", content="Hello!").model_dump(), + ChatMessage(role="assistant", content="How can I help you?").model_dump(), + ] + + def example_value(self) -> Any: + return [ + ChatMessage(role="user", content="Hello!"), + ChatMessage(role="assistant", content="How can I help you?"), + ] + from typing import Callable, Literal, Sequence, Any, TYPE_CHECKING + from gradio.blocks import Block + if TYPE_CHECKING: + from gradio.components import Timer + + + def change(self, + fn: Callable[..., Any] | None = None, + inputs: Block | Sequence[Block] | set[Block] | None = None, + outputs: Block | Sequence[Block] | None = None, + api_name: str | None | Literal[False] = None, + scroll_to_output: bool = False, + show_progress: Literal["full", "minimal", "hidden"] = "full", + queue: bool | None = None, + batch: bool = False, + max_batch_size: int = 4, + preprocess: bool = True, + postprocess: bool = True, + cancels: dict[str, Any] | list[dict[str, Any]] | None = None, + every: Timer | float | None = None, + trigger_mode: Literal["once", "multiple", "always_last"] | None = None, + js: str | None = None, + concurrency_limit: int | None | Literal["default"] = "default", + concurrency_id: str | None = None, + show_api: bool = True, + + ) -> Dependency: + """ + Parameters: + fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component. + inputs: list of gradio.components to use as inputs. If the function takes no inputs, this should be an empty list. + outputs: list of gradio.components to use as outputs. If the function returns no outputs, this should be an empty list. + api_name: defines how the endpoint appears in the API docs. Can be a string, None, or False. If False, the endpoint will not be exposed in the api docs. If set to None, the endpoint will be exposed in the api docs as an unnamed endpoint, although this behavior will be changed in Gradio 4.0. If set to a string, the endpoint will be exposed in the api docs with the given name. + scroll_to_output: if True, will scroll to output component on completion + show_progress: how to show the progress animation while event is running: "full" shows a spinner which covers the output component area as well as a runtime display in the upper right corner, "minimal" only shows the runtime display, "hidden" shows no progress animation at all + queue: if True, will place the request on the queue, if the queue has been enabled. If False, will not put this event on the queue, even if the queue has been enabled. If None, will use the queue setting of the gradio app. + batch: if True, then the function should process a batch of inputs, meaning that it should accept a list of input values for each parameter. The lists should be of equal length (and be up to length `max_batch_size`). The function is then *required* to return a tuple of lists (even if there is only 1 output component), with each list in the tuple corresponding to one output component. + max_batch_size: maximum number of inputs to batch together if this is called from the queue (only relevant if batch=True) + preprocess: if False, will not run preprocessing of component data before running 'fn' (e.g. leaving it as a base64 string if this method is called with the `Image` component). + postprocess: if False, will not run postprocessing of component data before returning 'fn' output to the browser. + cancels: a list of other events to cancel when this listener is triggered. For example, setting cancels=[click_event] will cancel the click_event, where click_event is the return value of another components .click method. Functions that have not yet run (or generators that are iterating) will be cancelled, but functions that are currently running will be allowed to finish. + every: continously calls `value` to recalculate it if `value` is a function (has no effect otherwise). Can provide a Timer whose tick resets `value`, or a float that provides the regular interval for the reset Timer. + trigger_mode: if "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` and `.key_up()` events) would allow a second submission after the pending event is complete. + js: optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components. + concurrency_limit: if set, this is the maximum number of this event that can be running simultaneously. Can be set to None to mean no concurrency_limit (any number of this event can be running simultaneously). Set to "default" to use the default concurrency limit (defined by the `default_concurrency_limit` parameter in `Blocks.queue()`, which itself is 1 by default). + concurrency_id: if set, this is the id of the concurrency group. Events with the same concurrency_id will be limited by the lowest set concurrency_limit. + show_api: whether to show this event in the "view API" page of the Gradio app, or in the ".view_api()" method of the Gradio clients. Unlike setting api_name to False, setting show_api to False will still allow downstream apps as well as the Clients to use this event. If fn is None, show_api will automatically be set to False. + + """ + ... \ No newline at end of file diff --git a/gradio_agentchatbot/chat_interface.py b/gradio_agentchatbot/chat_interface.py new file mode 100644 index 0000000000000000000000000000000000000000..e29a2df59521bbcdefcd2792c338af07fcef8e86 --- /dev/null +++ b/gradio_agentchatbot/chat_interface.py @@ -0,0 +1,695 @@ +""" +This file defines a useful high-level abstraction to build Gradio chatbots: ChatInterface. +""" + +from __future__ import annotations + +import inspect +from typing import AsyncGenerator, Callable, Generator, Literal, Protocol, Union, cast + +import anyio +from gradio.blocks import Blocks +from gradio.components import ( + JSON, + Button, + Chatbot, + Component, + Markdown, + MultimodalTextbox, + State, + Textbox, + get_component_instance, +) +from gradio.components.multimodal_textbox import MultimodalData +from gradio.events import Dependency, on +from gradio.exceptions import Error +from gradio.helpers import create_examples as Examples # noqa: N812 +from gradio.helpers import special_args +from gradio.layouts import Accordion, Group, Row +from gradio.routes import Request +from gradio.themes import ThemeClass as Theme +from gradio.utils import SyncToAsyncIterator, async_iteration, async_lambda +from gradio_client.documentation import document + +from .agentchatbot import AgentChatbot +from .utils import ApiReturnObj, FileDataDict, Message, MessageDict + +History = list[MessageDict | Message | ApiReturnObj] + +# class ChatInterfaceFn(Protocol): +# def __call__( +# self, message: str, history: list[MessageDict], *args, **kwargs +# ) -> MessageDict | ApiReturnObj | Message: ... + +# class ChatInterfaceGeneratorFn(Protocol): +# def __call__( +# self, message: str, history: list[MessageDict], *args, **kwargs +# ) -> Generator[MessageDict | ApiReturnObj | Message, None, None]: ... + +# class ChatInterfaceAsyncGeneratorFn(Protocol): +# async def __call__( +# self, message: str, history: list[MessageDict], *args, **kwargs +# ) -> AsyncGenerator[MessageDict | ApiReturnObj | Message, None]: ... + +# class ChatInterfaceAsyncFn(Protocol): +# async def __call__( +# self, message: str, history: list[MessageDict], *args, **kwargs +# ) -> MessageDict | ApiReturnObj | Message: ... + + +@document() +class ChatInterface(Blocks): + """ + ChatInterface is Gradio's high-level abstraction for creating chatbot UIs, and allows you to create + a web-based demo around a chatbot model in a few lines of code. Only one parameter is required: fn, which + takes a function that governs the response of the chatbot based on the user input and chat history. Additional + parameters can be used to control the appearance and behavior of the demo. + + Example: + import gradio as gr + + def echo(message, history): + return message + + demo = gr.ChatInterface(fn=echo, examples=["hello", "hola", "merhaba"], title="Echo Bot") + demo.launch() + Demos: chatinterface_multimodal, chatinterface_random_response, chatinterface_streaming_echo + Guides: creating-a-chatbot-fast, sharing-your-app + """ + + def __init__( + self, + fn: ChatInterfaceFn + | ChatInterfaceGeneratorFn + | ChatInterfaceAsyncFn + | ChatInterfaceAsyncGeneratorFn, + *, + multimodal: bool = False, + chatbot: Chatbot | None = None, + textbox: Textbox | MultimodalTextbox | None = None, + additional_inputs: str | Component | list[str | Component] | None = None, + additional_inputs_accordion_name: str | None = None, + additional_inputs_accordion: str | Accordion | None = None, + examples: list[str] | list[dict[str, str | list]] | list[list] | None = None, + cache_examples: bool | Literal["lazy"] | None = None, + examples_per_page: int = 10, + title: str | None = None, + description: str | None = None, + theme: Theme | str | None = None, + css: str | None = None, + js: str | None = None, + head: str | None = None, + analytics_enabled: bool | None = None, + submit_btn: str | None | Button = "Submit", + stop_btn: str | None | Button = "Stop", + retry_btn: str | None | Button = "🔄 Retry", + undo_btn: str | None | Button = "↩️ Undo", + clear_btn: str | None | Button = "🗑️ Clear", + autofocus: bool = True, + concurrency_limit: int | None | Literal["default"] = "default", + fill_height: bool = True, + delete_cache: tuple[int, int] | None = None, + ): + """ + Parameters: + fn: The function to wrap the chat interface around. Should accept two parameters: a string input message and list of two-element lists of the form [[user_message, bot_message], ...] representing the chat history, and return a string response. See the Chatbot documentation for more information on the chat history format. + multimodal: If True, the chat interface will use a gr.MultimodalTextbox component for the input, which allows for the uploading of multimedia files. If False, the chat interface will use a gr.Textbox component for the input. + chatbot: An instance of the gr.Chatbot component to use for the chat interface, if you would like to customize the chatbot properties. If not provided, a default gr.Chatbot component will be created. + textbox: An instance of the gr.Textbox or gr.MultimodalTextbox component to use for the chat interface, if you would like to customize the textbox properties. If not provided, a default gr.Textbox or gr.MultimodalTextbox component will be created. + additional_inputs: An instance or list of instances of gradio components (or their string shortcuts) to use as additional inputs to the chatbot. If components are not already rendered in a surrounding Blocks, then the components will be displayed under the chatbot, in an accordion. + additional_inputs_accordion_name: Deprecated. Will be removed in a future version of Gradio. Use the `additional_inputs_accordion` parameter instead. + additional_inputs_accordion: If a string is provided, this is the label of the `gr.Accordion` to use to contain additional inputs. A `gr.Accordion` object can be provided as well to configure other properties of the container holding the additional inputs. Defaults to a `gr.Accordion(label="Additional Inputs", open=False)`. This parameter is only used if `additional_inputs` is provided. + examples: Sample inputs for the function; if provided, appear below the chatbot and can be clicked to populate the chatbot input. Should be a list of strings if `multimodal` is False, and a list of dictionaries (with keys `text` and `files`) if `multimodal` is True. + cache_examples: If True, caches examples in the server for fast runtime in examples. The default option in HuggingFace Spaces is True. The default option elsewhere is False. + examples_per_page: If examples are provided, how many to display per page. + title: a title for the interface; if provided, appears above chatbot in large font. Also used as the tab title when opened in a browser window. + description: a description for the interface; if provided, appears above the chatbot and beneath the title in regular font. Accepts Markdown and HTML content. + theme: Theme to use, loaded from gradio.themes. + css: Custom css as a string or path to a css file. This css will be included in the demo webpage. + js: Custom js as a string or path to a js file. The custom js should be in the form of a single js function. This function will automatically be executed when the page loads. For more flexibility, use the head parameter to insert js inside