Update app.py

app.py

@@ -43,10 +43,13 @@ def analyze_voice_emotion(audio):
         if y.dtype != 'float32':
             y = y.astype('float32')
 
-        # Calculate features
+        # Calculate features and convert numpy values to Python scalars
         pitch = float(librosa.feature.spectral_centroid(y=y, sr=sr).mean())
         intensity = float(librosa.feature.rms(y=y).mean())
         tempo, _ = librosa.beat.beat_track(y=y, sr=sr)
+        
+        # Convert tempo to Python float to avoid numpy formatting issues
+        tempo = float(tempo)
 
         # Determine emotion based on features
         if pitch < 150 and intensity < 0.02:
@@ -58,7 +61,10 @@ def analyze_voice_emotion(audio):
         else:
             emotion = "anxiety"
 
-        return f"Emotion: {emotion}\nPitch: {pitch:.2f}\nIntensity: {intensity:.2f}\nTempo: {tempo:.2f}"
+        # Format the output using Python floats instead of numpy values
+        return "Emotion: {}\nPitch: {:.2f}\nIntensity: {:.2f}\nTempo: {:.2f}".format(
+            emotion, pitch, intensity, tempo
+        )
     except Exception as e:
         return f"Error analyzing audio: {str(e)}"