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Ahtishamafzaal
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Browse files- app.py +26 -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()
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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(model="gpt-3.5-turbo-instruct",temperature = 0.6, openai_api_key = os.environ["OPENAI_API_KEY"] )
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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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sumbit = st.button("Ask the Question..")
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if sumbit:
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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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