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Upload app.py

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  1. app.py +36 -0
app.py ADDED
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+ from langchain.llms import OpenAI
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+ #from dotenv import load_dotenv
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+
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+ #load_dotenv() #take environment variables from .env
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+
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+ import streamlit as st
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+ import os
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+ # Function to load OpenAI and get response
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+
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+ def get_openai_response(question):
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+ llm=OpenAI(model_name="gpt-3.5-turbo-instruct",
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+ temperature=0.6)
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+ response = llm(question)
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+ return response
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+
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+ # Initialize the Streamlit APP #
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+ st.set_page_config(page_title="Q&A Demo")
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+ st.header("Langchain Application")
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+ input = st.text_input(label="Input: ", key="input")
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+ response = get_openai_response(input)
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+ submit = st.button(label="Ask the question")
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+
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+ # If the button is clicked
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+
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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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