File size: 810 Bytes
67448d5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
import streamlit as st
from transformers import pipeline
pipe = pipeline("text2text-generation", model="google/flan-t5-base")
st.title("Question-Answer Generator")
user_question = st.text_input("Ask a question:")
if st.button("Generate Answer"):
if user_question:
# Use the T5 model to generate an answer
answer = pipe(user_question, max_length=50, do_sample=True, top_k=50)[0]["generated_text"]
st.write("Answer:")
st.write(answer)
else:
st.warning("Please enter a question.")
st.sidebar.header("Customize Appearance")
bg_color = st.sidebar.color_picker("Background Color", "#f2f2f2")
text_color = st.sidebar.color_picker("Text Color", "#000000")
st.markdown(f'<style>body{{background-color: {bg_color}; color: {text_color}}}</style>', unsafe_allow_html=True)
|