Update app.py

app.py

@@ -6,13 +6,13 @@ import torch
 from transformers import SpeechT5Processor, SpeechT5ForTextToSpeech, SpeechT5HifiGan
 
 checkpoint = "burraco135/speecht5_finetuned_voxpopuli_it"
-processor = SpeechT5Processor.from_pretrained(checkpoint)
+# processor = SpeechT5Processor.from_pretrained(checkpoint)
 model = SpeechT5ForTextToSpeech.from_pretrained(checkpoint)
-vocoder = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
+vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
 
 def predict(text, speaker):
 
-    speaker_embedding = "speaker_0_embeddings.npy"
+    speaker_embedding = np.load("speaker_0_embeddings.npy")
     
     inputs = processor(text=text, return_tensors="pt")