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14 lines
693 B
Python
14 lines
693 B
Python
import streamlit as st
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from langchain.chains import ConversationalRetrievalChain
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from langchain.memory import ConversationBufferMemory
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from langchain.llms import OpenAI
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memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
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def chat_with_doc(openai_api_key, vector_store):
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question = st.text_input("## Ask a question")
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button = st.button("Ask")
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if button:
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qa = ConversationalRetrievalChain.from_llm(OpenAI(model_name=st.session_state['model'], openai_api_key=openai_api_key, temperature=st.session_state['temperature']), vector_store.as_retriever(), memory=memory)
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result = qa({"question": question})
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st.write(result["answer"]) |