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import streamlit as st |
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from langchain.schema import HumanMessage,SystemMessage,AIMessage |
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from langchain_openai import ChatOpenAI |
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st.set_page_config(page_title="Conversational Q&A Chatbot") |
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st.header("Hey, Let's Chat") |
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from dotenv import load_dotenv |
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load_dotenv() |
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import os |
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chat=ChatOpenAI(temperature=0.5) |
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if 'flowmessages' not in st.session_state: |
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st.session_state['flowmessages']=[ |
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SystemMessage(content='You are a financial analyst who analys IPO of startup companies') |
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] |
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def get_chatmodel_response(question): |
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st.session_state['flowmessages'].append(HumanMessage(content=question)) |
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answer=chat(st.session_state['flowmessages']) |
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st.session_state['flowmessages'].append(AIMessage(content=answer.content)) |
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return answer.content |
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input=st.text_input("Input: ",key="input") |
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response=get_chatmodel_response(input) |
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submit=st.button("Ask the question") |
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if submit: |
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st.subheader("The Response is") |
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st.write(response) |
