Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# 1) Initialize zero-shot classifier
+classifier = pipeline(
+    task="zero-shot-classification",
+    model="facebook/bart-large-mnli"
+)
+
+# 2) Define candidate labels
+LABELS = ["linear algebra", "calculus", "probability", "geometry"]
+
+# 3) Gradio interface function
+def tag_question(question):
+    result = classifier(question, candidate_labels=LABELS)
+    return {lbl: round(score, 3) for lbl, score in zip(result["labels"], result["scores"])}
+
+# 4) Build UI
+iface = gr.Interface(
+    fn=tag_question,
+    inputs=gr.Textbox(lines=3, placeholder="Enter your MCQ here..."),
+    outputs=gr.Label(num_top_classes=3),
+    title="Zero-Shot Question Tagger",
+    description="Classify questions into math topics without any training data."
+)
+
+if __name__ == "__main__":
+    iface.launch()