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Browse files- app.py +33 -0
- requirements.txt +5 -0
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 variables from .env
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import streamlit as st
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import os
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## Function to load OpenAI model and get responses
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def get_openai_response(question):
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llm=OpenAI(openai_api_key=os.getenv("OPENAI_API_KEY"),model="gpt-3.5-turbo-instruct",temperature=0.5)
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response=llm(question)
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return response
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## initialize our 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("Input: ", key="input")
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response=get_openai_response(input)
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submit=st.button("Generate")
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## If Generate 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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requirements.txt
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langchain
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openai
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huggingface_hub
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python-dotenv
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streamlit
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