Narsingh-Maurya
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Upload app.py
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app.py
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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 variable from .env
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## Function to load openAI model and get response
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def get_openai_response(question):
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llm = OpenAI(openai_api_key = os.getenv('OPEN_API_KEY'), model_name = "text-davinci-003", 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 = "QnA_Project Using OpenAI")
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st.header("Langchain Application using OpenAI")
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input = st.text_input("Input: ", key = "input")
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response = 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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if submit:
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st.subheader("The response is ")
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st.write(response)
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