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app.py
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# # QandA chatbot
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# from langchain.llms import OpenAI
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from langchain.chains import LLMChain
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from langchain_community.llms import OpenAI
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#from dotenv import load_dotenv
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import os
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# load_dotenv()
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import streamlit as st
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## Function to lod OpenAI model and get responses
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def get_openai_response(question): ## not os.environ["OPEN_API_KEY"] use openai_api_key=os.getenv("OPEN_API_KEY")
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llm = OpenAI(temperature=0.6)
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response = llm(question)
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return response
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st.set_page_config(page_title="QandA Chatbot", page_icon=":robot:")
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st.header("Langchain Application")
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input = st.text_input("Enter your question here: ",key="input")
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response = get_openai_response(input)
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submit = st.button("Submit/Generate")
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## If ask button is clicked
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if submit:
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st.header("The response is:")
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st.write(response)
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