Update app.py

app.py

@@ -68,7 +68,7 @@ def analyze_heartbeat(audio_file) -> Tuple[Dict, str]:
             features = mfccs.reshape(1, 52, 1)
             preds = heartbeat_model.predict(features)
             class_names = ["artifact", "murmur", "normal"]
-            results = {name: float(preds[0][i]) for i, name in enumerate(class_names)}
+            results = {name: round(float(preds[0][i]) * 100, 1) for i, name in enumerate(class_names)}
         else:
             # Mock results for demonstration
             results = {"artifact": 0.15, "murmur": 0.25, "normal": 0.60}