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import gradio as gr
import scipy
from transformers import VitsModel, AutoTokenizer
import torch
model = VitsModel.from_pretrained("facebook/mms-tts-crh")
tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-crh")
def predict(image):
global model, tokenizer
text = name
inputs = tokenizer(text, return_tensors="pt")
with torch.no_grad():
output = model(**inputs).waveform
return gr.Audio(output)
gr.Interface(
predict,
inputs= gr.Textbox(value="", label="Duration in seconds"),
outputs="audio",
title="Hot Dog? Or Not?",
).launch()
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