Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+pipe = pipeline("text-classification", model="lewtun/xlm-roberta-base-finetuned-marc")
+
+def predict(text):
+    label2emoji = {"terrible": "💩", "poor": "😾", "ok": "🐱", "good": "😺", "great": "😻"}
+    preds = pipe(text)[0]
+    return label2emoji[preds["label"]], round(preds["score"], 5)
+  
+gradio_ui = gr.Interface(
+    fn=predict,
+    title="Predicting review scores from customer reviews",
+    description="Enter some review text about an Amazon product and check what the model predicts for it's star rating.",
+    inputs=[
+        gr.inputs.Textbox(lines=5, label="Paste some text here"),
+    ],
+    outputs=[
+        gr.outputs.Textbox(label="Label"),
+        gr.outputs.Textbox(label="Score"),
+    ],
+    examples=[
+        ["I love these running shoes!", "Ich hasse dieses Buch"],
+    ],
+)
+
+gradio_ui.launch(debug=True)