Upload app.py

app.py

@@ -46,6 +46,9 @@ def predict_age_gender(audio_input):
         if signal.ndim > 1:
             signal = signal.mean(axis=1)
         
+        # Convert to float32 (ONNX requires this)
+        signal = signal.astype(np.float32)
+        
         # Run inference
         output = model(signal, sampling_rate)
         
@@ -64,9 +67,9 @@ def predict_age_gender(audio_input):
         **Predicted Gender**: {predicted_gender.capitalize()}
         
         **Gender Confidence Scores**:
-        - Female: {gender_scores[0]:.2%}
-        - Male: {gender_scores[1]:.2%}  
-        - Child: {gender_scores[2]:.2%}
+        - Female: {gender_scores[0]:.2f}
+        - Male: {gender_scores[1]:.2f}  
+        - Child: {gender_scores[2]:.2f}
         """
         
         return result