Create app.py
Browse files
app.py
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import streamlit as st
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from transformers import pipeline
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pipe = pipeline("text2text-generation", model="google/flan-t5-base")
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st.title("Question-Answer Generator")
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user_question = st.text_input("Ask a question:")
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if st.button("Generate Answer"):
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if user_question:
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# Use the T5 model to generate an answer
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answer = pipe(user_question, max_length=50, do_sample=True, top_k=50)[0]["generated_text"]
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st.write("Answer:")
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st.write(answer)
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else:
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st.warning("Please enter a question.")
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st.sidebar.header("Customize Appearance")
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bg_color = st.sidebar.color_picker("Background Color", "#f2f2f2")
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text_color = st.sidebar.color_picker("Text Color", "#000000")
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st.markdown(f'<style>body{{background-color: {bg_color}; color: {text_color}}}</style>', unsafe_allow_html=True)
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