Update app.py

app.py

@@ -7,8 +7,8 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 def predict(image):
     classifier = pipeline(task="image-classification")
     preds = classifier(image)
-    preds = [{"score": round(pred["score"], 4), "label": pred["label"]} for pred in preds]
-    label = gr.Label(output_format="json", default_value=preds)
+    prediction_json = json.dumps({"score": round(pred["score"], 4), "label": pred["label"]} for pred in preds)
+    label = gr.Label(output_format="json", default_value=prediction_json)
     return label
 
 description = """