dsf

app.py

@@ -96,7 +96,7 @@ def predict_xray(image: np.ndarray):
     
     # Generate results with probabilities and binary labels (threshold=0.5)
     result = {
-        CLASS_NAMES[str(i)]: f"{probs[i]:.3f} ({'Positive' if probs[i] >= 0.5 else 'Negative'})"
+        CLASS_NAMES[str(i)]: probs[i]
         for i in range(len(CLASS_NAMES)) if i != 10  # Exclude "No Finding"
     }