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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() |
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def get_openai_response(question): |
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llm = OpenAI(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-3.5-turbo-instruct", temperature=0.5) |
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response = llm.invoke([{"role": "user", "content": question}]) |
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return response |
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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_text = st.text_input("Input: ", key="input") |
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submit = st.button("Ask the question") |
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if submit: |
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response = get_openai_response(input_text) |
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st.subheader("The response is:") |
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st.write(response) |
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