Update app.py

app.py

@@ -46,7 +46,7 @@ def classify_image(image):
         probabilities, indices = torch.topk(outputs, k=3)  # 取得前3個預測
         probabilities = torch.nn.functional.softmax(probabilities, dim=1)  # 將結果轉換為機率
         predictions = [(class_names[idx], prob.item()) for idx, prob in zip(indices[0], probabilities[0])]
-        return {class_name: f"{prob * 100:.2f}%" for class_name, prob in predictions}
+        return {class_name: prob for class_name, prob in predictions}  # Return raw float numbers
 
 # 設置 examples 路徑
 examples_path = './examples'