Update app.py

app.py

@@ -1,113 +1,73 @@
-# import openai
-# import os
-# import gradio as gr
-
-# # 设置 OpenAI API 密钥
-# # openai.api_key = "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"
-# openai.api_key = "sk-NYsoG3VBKDiTuvdtC969F95aFc4f45379aD3854a93602327"
-# openai.api_base="https://key.wenwen-ai.com/v1"
-# class Conversation:
-#     def __init__(self, prompt, num_of_round):
-#         self.prompt = prompt
-#         self.num_of_round = num_of_round
-#         self.messages = [{"role": "system", "content": self.prompt}]
-
-#     def ask(self, question):
-#         try:
-#             self.messages.append({"role": "user", "content": question})
-#             response = openai.ChatCompletion.create(
-#                 model="gpt-3.5-turbo",
-#                 messages=self.messages,
-#                 temperature=0.5,
-#                 max_tokens=2048,
-#                 top_p=1,
-#             )
-#         except Exception as e:
-#             print(e)
-#             return str(e)
+import openai
+import os
+import gradio as gr
+
+# 设置 OpenAI API 密钥
+# openai.api_key = "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"
+openai.api_key = "sk-NYsoG3VBKDiTuvdtC969F95aFc4f45379aD3854a93602327"
+openai.api_base="https://key.wenwen-ai.com/v1"
+class Conversation:
+    def __init__(self, prompt, num_of_round):
+        self.prompt = prompt
+        self.num_of_round = num_of_round
+        self.messages = [{"role": "system", "content": self.prompt}]
+
+    def ask(self, question):
+        try:
+            self.messages.append({"role": "user", "content": question})
+            response = openai.ChatCompletion.create(
+                model="gpt-3.5-turbo",
+                messages=self.messages,
+                temperature=0.5,
+                max_tokens=2048,
+                top_p=1,
+            )
+        except Exception as e:
+            print(e)
+            return str(e)
         
-#         message = response["choices"][0]["message"]["content"]
-#         self.messages.append({"role": "assistant", "content": message})
+        message = response["choices"][0]["message"]["content"]
+        self.messages.append({"role": "assistant", "content": message})
         
-#         if len(self.messages) > self.num_of_round * 2 + 1:
-#             del self.messages[1:3]  # 移除第一轮对话
-#         return message
-
-
-# prompt = """你是一个大数据和AI领域的专家，用中文回答大数据和AI的相关问题。你的回答需要满足以下要求:
-# 1. 你的回答必须是中文
-# 2. 回答限制在100个字以内"""
-# conv = Conversation(prompt, 6)
-# def answer(question, history=[]):
-#     history.append(question)
-#     message = conv.ask(question)
-#     history.append(message)
-#     responses = [(u,b) for u,b in zip(history[::2], history[1::2])]
-#     print(responses)
-#     txt.update("")
-#     return responses, history
-# def reset_user_input():
-#     return gr.update(value='')
-
-
-# def reset_state():
-#     return [], []
-
-# with gr.Blocks(css="#chatbot{height:300px} .overflow-y-auto{height:500px}") as rxbot:
-#     chatbot = gr.Chatbot(elem_id="chatbot")
-#     state = gr.State([])
-#     with gr.Row():
-#         txt = gr.Textbox(show_label=False, placeholder="请输入你的问题").style(container=False)
-#     submit_btn = gr.Button("提交")
-#     txt.submit(answer, [txt, state], [chatbot, state])
-#     txt.submit(reset_user_input, [], [txt])
-#     submit_btn.click(answer, [txt, state], [chatbot, state])
-#     submit_btn.click(reset_user_input, [], [txt])
-#     # clear = gr.ClearButton([txt, chatbot])
+        if len(self.messages) > self.num_of_round * 2 + 1:
+            del self.messages[1:3]  # 移除第一轮对话
+        return message
+
+
+prompt = """你是一个大数据和AI领域的专家，用中文回答大数据和AI的相关问题。你的回答需要满足以下要求:
+1. 你的回答必须是中文
+2. 回答限制在100个字以内"""
+conv = Conversation(prompt, 6)
+def answer(question, history=[]):
+    history.append(question)
+    message = conv.ask(question)
+    history.append(message)
+    responses = [(u,b) for u,b in zip(history[::2], history[1::2])]
+    print(responses)
+    txt.update("")
+    return responses, history
+def reset_user_input():
+    return gr.update(value='')
+
+
+def reset_state():
+    return [], []
+
+with gr.Blocks(css="#chatbot{height:300px} .overflow-y-auto{height:500px}") as rxbot:
+    chatbot = gr.Chatbot(elem_id="chatbot")
+    state = gr.State([])
+    with gr.Row():
+        txt = gr.Textbox(show_label=False, placeholder="请输入你的问题").style(container=False)
+    submit_btn = gr.Button("提交")
+    txt.submit(answer, [txt, state], [chatbot, state])
+    txt.submit(reset_user_input, [], [txt])
+    submit_btn.click(answer, [txt, state], [chatbot, state])
+    submit_btn.click(reset_user_input, [], [txt])
+    # clear = gr.ClearButton([txt, chatbot])
     
-# rxbot.launch(share=True)
-
-
-
-
-
-import os
-import openai
-# 设置网络代理
-# os.environ["http_proxy"] = "http://127.0.0.1:1080"
-# os.environ["https_proxy"] = "http://127.0.0.1:1080"
-# os.environ["OPENAI_API_KEY"] = '你的api key'
-os.environ["SERPAPI_API_KEY"] = '4f9b45ca814fa43f2b4268fcd07f55860760560b0ff7a5ff66f49e52d7d88ec2'
-os.environ["OPENAI_API_KEY"] = "sk-NYsoG3VBKDiTuvdtC969F95aFc4f45379aD3854a93602327"
-os.environ["OPENAI_BASE"] = "https://key.wenwen-ai.com/v1"
-# openai.api_key = "sk-NYsoG3VBKDiTuvdtC969F95aFc4f45379aD3854a93602327"
-# openai.api_base="https://key.wenwen-ai.com/v1"
-from langchain.agents import load_tools
-from langchain.agents import initialize_agent
-from langchain.llms import OpenAI
-from langchain.agents import AgentType
-
-from langchain.agents import tool
-from datetime import date
+rxbot.launch(share=True)
 
-@tool
-def time(text: str) -> str:
-    """Returns todays date, use this for any \
-    questions related to knowing todays date. \
-    The input should always be an empty string, \
-    and this function will always return todays \
-    date - any date mathmatics should occur \
-    outside this function."""
-    return str(date.today())
 
-# 加载 OpenAI 模型
-llm = OpenAI(temperature=0,max_tokens=2048) 
 
-# 加载 serpapi 工具
-tools = load_tools(["serpapi"])
 
-# 工具加载后都需要初始化，verbose 参数为 True，会打印全部的执行详情
-agent = initialize_agent(tools + [time], llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)
 
-# 运行 agent
-agent.run("今天是几号? 今天微博的热搜话题有哪些？")