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app.py

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+import gradio as gr
+from transformers import pipeline
+
+classifier = pipeline("text-classification", model="juliensimon/distilbert-amazon-shoe-reviews")
+
+
+def predict(review):
+    prediction = classifier(review)
+    print(prediction)
+    stars = prediction[0]["label"]
+    stars = (int)(stars.split("_")[1]) + 1
+    score = 100 * prediction[0]["score"]
+    return "{} {:.0f}%".format("\U00002B50" * stars, score)
+
+
+iface = gr.Interface(fn=predict, inputs="text", outputs="text")
+iface.launch()