Create app.py

app.py

@@ -0,0 +1,32 @@
+import streamlit as st
+from transformers import pipeline
+
+# Title
+st.title("📘 Quiz Generator from Text")
+st.write("Enter a paragraph, and this app will generate MCQs using a Hugging Face model.")
+
+# Load model only once
+@st.cache_resource
+def load_model():
+    return pipeline("e2e-qg", model="valhalla/t5-base-e2e-qg")
+
+qg_pipeline = load_model()
+
+# Text input
+text = st.text_area("Enter your paragraph here:", height=200)
+
+if st.button("Generate Quiz"):
+    if not text.strip():
+        st.warning("Please enter some text first.")
+    else:
+        with st.spinner("Generating questions..."):
+            try:
+                result = qg_pipeline(text)
+                st.success("Here are your questions:")
+
+                for idx, item in enumerate(result):
+                    st.markdown(f"**Q{idx+1}. {item['question']}**")
+                    st.markdown(f"- Answer: `{item['answer']}`")
+                    st.markdown("---")
+            except Exception as e:
+                st.error(f"Error: {str(e)}")