Update app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Load the question-answering pipeline
+qa_model = pipeline("question-answering", model="distilbert-base-cased-distilled-squad")
+
+# Pre-defined FAQ context
+FAQ_CONTEXT = """
+Streamlit is an open-source app framework for Machine Learning and Data Science projects. 
+It helps developers create interactive and user-friendly applications quickly. 
+Hugging Face Spaces is a platform for hosting ML models and applications, including Streamlit apps.
+To deploy a Streamlit app on Hugging Face Spaces, you need to upload your app code and requirements file.
+DistilBERT is a smaller, faster, and cheaper version of BERT, designed for NLP tasks.
+"""
+
+# Streamlit app
+st.title("FAQ Chatbot")
+st.write("Ask a question about Streamlit, Hugging Face, or DistilBERT, and I’ll provide an answer!")
+
+# User input
+question = st.text_input("Enter your question:")
+
+if question:
+    # Perform question answering
+    result = qa_model(question=question, context=FAQ_CONTEXT)
+    answer = result["answer"]
+    
+    # Display the answer
+    st.write("### Answer:")
+    st.write(answer)