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Update app.py
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app.py
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import gradio as gr
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return
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import gradio as gr
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import os
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import openai
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import gradio as gr
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from gradio import ChatInterface
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import time
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# Get the value of the openai_api_key from environment variable
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openai.api_key = os.getenv("OPENAI_API_KEY")
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# Import things that are needed generically from langchain
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from langchain import LLMMathChain, SerpAPIWrapper
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from langchain.agents import AgentType, initialize_agent, load_tools
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from langchain.chat_models import ChatOpenAI
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from langchain.tools import BaseTool, StructuredTool, Tool, tool
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from langchain.tools import MoveFileTool, format_tool_to_openai_function
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from langchain.schema import (
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AIMessage,
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HumanMessage,
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SystemMessage
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)
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from langchain.utilities import WikipediaAPIWrapper
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from langchain.tools import AIPluginTool
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def predict_langchain(user_input, chatbot):
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print(f"Chatbot : {chatbot}")
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chat = ChatOpenAI(temperature=1.0, streaming=True, model='gpt-3.5-turbo-0613')
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messages=[]
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for conv in chatbot:
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human = HumanMessage(content=conv[0])
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ai = AIMessage(content=conv[1])
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messages.append(human)
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messages.append(ai)
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messages.append(HumanMessage(content=user_input))
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# getting gpt3.5's response
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gpt_response = chat(messages)
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return gpt_response.content
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gr.ChatInterface(predict_langchain, delete_last_btn="del").queue().launch(share=False, debug=True)
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