Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Load the Hugging Face model
+@st.cache_resource  # Caches the model to improve loading time
+def load_model():
+    return pipeline("text2text-generation", model="t5-base")
+
+# Initialize the model
+question_generator = load_model()
+
+# Streamlit App Layout
+st.title("AI-Powered Quiz Generator")
+st.write("Create quizzes from any topic or text input using AI.")
+
+# Input Section
+st.subheader("Input Text or Topic")
+input_text = st.text_area("Enter your text or topic here:", height=200)
+
+# Button to generate questions
+if st.button("Generate Quiz"):
+    if input_text.strip():
+        st.subheader("Generated Questions")
+        with st.spinner("Generating questions..."):
+            # Generate questions
+            questions = question_generator(input_text, max_length=50, num_return_sequences=5)
+            for i, question in enumerate(questions):
+                st.write(f"{i+1}. {question['generated_text']}")
+    else:
+        st.error("Please enter some text or topic to generate the quiz!")
+
+# Footer
+st.markdown("---")
+st.markdown("**Created by [Your Name]** | Powered by Hugging Face & Streamlit")