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Update app.py
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app.py
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# q & a chatbot
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from langchain.llms import OpenAI
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from dotenv import load_dotenv
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load_dotenv() # take environment varibales from .env
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import streamlit as st
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import os
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# lets make a function for calling the llm
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def get_openai_response(question):
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llm=OpenAI(openai_api_key
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response = llm(question)
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return response
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# Streamlit app
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st.header("Langchain Application")
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get_openai_response(input)
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submit = st.button("Ask the question")
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# if ask button is clicked
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st.subheader("the response is")
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st.write(response)
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# q & a chatbot
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from langchain.llms import OpenAI
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from dotenv import load_dotenv
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import streamlit as st
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import os
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load_dotenv() # take environment variables from .env
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# lets make a function for calling the llm
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def get_openai_response(question):
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llm = OpenAI(openai_api_key="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", temperature=0.6)
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response = llm(question)
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return response
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# Streamlit app
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st.header("Langchain Application")
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input_question = st.text_input("input : ", key="input")
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# if ask button is clicked
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if st.button("Ask the question"):
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response = get_openai_response(input_question)
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st.subheader("the response is")
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st.write(response)
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