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from transformers import VitsModel, AutoTokenizer
import torch
import gradio as gr
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()
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