Update app.py

app.py

@@ -27,7 +27,7 @@ def predict(image):
     logits = outputs.logits
     probs = torch.nn.functional.softmax(logits,dim=1).squeeze()
     top_idx = probs.argmax().item()
-    label = model.config.id2lael[top_idx]
+    label = model.config.id2label[top_idx]
     confidence = probs[top_idx].item()
     return f"{label} ({round(confidence*100, 1)}%)"