Update app.py

app.py

@@ -10,15 +10,15 @@ processor = SpeechT5Processor.from_pretrained(checkpoint)
 model = SpeechT5ForTextToSpeech.from_pretrained(checkpoint)
 vocoder = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
 
-speaker_embedding = "speaker_0_embeddings.npy"
-
 def predict(text, speaker):
 
+    speaker_embedding = "speaker_0_embeddings.npy"
+    
     inputs = processor(text=text, return_tensors="pt")
 
-    # limit input length
-    input_ids = inputs["input_ids"]
-    input_ids = input_ids[..., :model.config.max_text_positions]
+    # # limit input length
+    # input_ids = inputs["input_ids"]
+    # input_ids = input_ids[..., :model.config.max_text_positions]
 
     speaker_embedding = torch.tensor(speaker_embedding).unsqueeze(0)