Update app.py

app.py

@@ -1,16 +1,12 @@
 import gradio as gr
-
-classifier = pipeline("text-classification", model="huggingface/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()
+from gradio import inputs
+description = "text classification"
+interface = gr.Interface.load("huggingface/juliensimon/distilbert-amazon-shoe-reviews", 
+	title = "text classification",
+	inputs = [
+        gr.inputs.Textbox(lines=7, label="Story"),
+    ],
+    description=description,
+    examples=[["Adventurer is approached by a mysterious stranger in the tavern for a new quest"]]
+)
+interface.launch()