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app.py

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+import gradio as gr
+from transformers import pipeline
+
+classifier = pipeline(
+    "text-classification",
+    model="Asmatullah-AI-Engineer/distilbert-imdb-sentiment"
+)
+
+def predict(text):
+    result = classifier(text)[0]
+    label = result["label"]
+    score = result["score"]
+    return f"{label} (confidence: {score:.3f})"
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(placeholder="Enter a movie review..."),
+    outputs=gr.Textbox(label="Sentiment"),
+    title="Movie Sentiment Classifier",
+    description="Fine-tuned DistilBERT on IMDb reviews"
+)
+
+demo.launch()