Update app.py

app.py

@@ -1,18 +1,17 @@
 import streamlit as st
 from transformers import pipeline
+
+# Create a text2text-generation pipeline with the "google/flan-t5-base" model
 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"]
+        # Use the T5 model to generate a more precise answer
+        answer = pipe(user_question, max_length=100, do_sample=False)[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)