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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 output | |
gr.Interface( | |
predict, | |
inputs= gr.Textbox(value="", label="Duration in seconds"), | |
outputs="audio", | |
title="Hot Dog? Or Not?", | |
).launch() | |