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import torch
from transformers import SpeechT5ForTextToSpeech, SpeechT5Processor
MODEL_ID = "microsoft/speecht5_tts"
processor = SpeechT5Processor.from_pretrained(MODEL_ID)
model = SpeechT5ForTextToSpeech.from_pretrained(MODEL_ID)
def synthesize_speech(text):
inputs = processor(text, return_tensors="pt")
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model.to(device)
inputs = inputs.to(device)
with torch.no_grad():
speech = model.generate(**inputs)
return processor.decode(speech, skip_special_tokens=True)
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