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app.py
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import streamlit as st
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from transformers import pipeline
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# Load the pipeline for text generation
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generator = pipeline("text-generation", model="EleutherAI/gpt-neo-1.3B")
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# App UI starts here
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st.set_page_config(page_title="LangChain Demo", page_icon=":robot:")
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st.header("LangChain Demo")
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# Gets the user input
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def get_text():
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input_text = st.text_input("You: ", key="input")
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return input_text
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user_input = get_text()
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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("Answer:")
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# Generate response based on user input
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response = generator(user_input, max_length=50, do_sample=True)[0]['generated_text']
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st.write(response)
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