Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+pipe = pipeline("text2text-generation", model="google/flan-t5-base")
+
+def generate_answer(question):
+    """Generates an answer to a question using the T5 language model."""
+
+    answer = pipe(question, max_length=100, num_return_sequences=1)[0]
+    return answer
+
+st.set_page_bg_image("BK.jpg")
+
+st.title("Question Answering App")
+
+question = st.text_input("Ask me a question:")
+
+if question:
+    answer = generate_answer(question)
+
+    st.markdown(f"**Answer:** {answer}")
+
+else:
+    st.markdown("Please ask me a question.")