Update handler.py

handler.py

@@ -18,7 +18,7 @@ class EndpointHandler():
         
         self.tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-eng")
         self.model= AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-eng")
-        pygame.init()
+        
     def __call__(self, data: Dict[str, Any]) -> Dict[str, Any]:
         # Prepare the payload with input data
         logging.warning(f"------input_data-- {str(data)}")
@@ -34,7 +34,6 @@ class EndpointHandler():
         # Save the audio to a file
         sf.write("StoryAudio.wav", outputs["waveform"][0].numpy(), self.model.config.sampling_rate)
         uploadGraphFile("StoryAudio.wav")
-        main()
         #return 'StoryAudio.wav'
         # Check if the request was successful
         
@@ -47,25 +46,4 @@ def uploadGraphFile(fileName):
     )
     # Upload a file to Cloudinary
     result = cloudinary.uploader.upload(fileName, folder="poc-graph", resource_type="raw")
-    return result
-import pygame
-import time
-
-def play_audio(file_path):
-    pygame.init()
-    pygame.mixer.music.load(file_path)
-    pygame.mixer.music.play()
-
-def stop_audio():
-    pygame.mixer.music.stop()
-
-def main():
-    audio_file = "StoryAudio.wav"
-    play_audio(audio_file)
-    duration = pygame.mixer.Sound(audio_file).get_length()
-    start_time = time.time()
-    while pygame.mixer.music.get_busy():
-        current_time = time.time() - start_time
-        progress = current_time / duration * 100
-        print(f"Playback progress: {progress:.2f}%")
-        time.sleep(0.1)
+    return result