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from transformers import VitsModel, AutoTokenizer | |
import torch | |
model = VitsModel.from_pretrained("facebook/mms-tts-eng") | |
tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-eng") | |
def generate_waveform(text): | |
inputs = tokenizer(text, return_tensors="pt") | |
with torch.no_grad(): | |
output = model(**inputs).waveform | |
return (output) | |
demo_text_to_speech = gr.Interface(text_to_speech, title="Text to speech converter", description="Enter a text here!", inputs='text', outputs='audio') | |
demo_text_to_speech.launch() | |