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