Update app.py

app.py

@@ -47,19 +47,14 @@ def emotion_aware_tts_pipeline(input_text=None, file_input=None):
             emotion = emotion_data['label']
             confidence = emotion_data['score']
 
-            # Adjust text for speed
+            # Adjust pitch and speed
             settings = emotion_settings.get(emotion.lower(), {"pitch": 1.0, "speed": 1.0})
-            speed = settings["speed"]
             pitch = settings["pitch"]
-
+            speed = settings["speed"]
 
             # Generate audio
             audio_path = "output.wav"
-            tts_model.tts_to_file(text=input_text, file_path=audio_path)
-
-            # Adjust pitch
-            pitch_factor = (pitch - 1.0) * 12  # Convert to semitones for librosa
-            adjust_pitch(audio_path, pitch_factor)
+            tts_model.tts_to_file(text=input_text, file_path=audio_path, speed=speed, pitch=pitch)
 
             return f"Detected Emotion: {emotion} (Confidence: {confidence:.2f})", audio_path
         else: