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import gradio as gr | |
from transformers import VitsModel, AutoTokenizer,pipeline | |
import torch | |
def TTS(text): | |
model = VitsModel.from_pretrained("SeyedAli/Persian-Speech-synthesis") | |
tokenizer = AutoTokenizer.from_pretrained("SeyedAli/Persian-Speech-synthesis") | |
pipe = pipeline("text-to-speech", model=model,tokenizer=tokenizer) | |
return pipe(text) | |
iface = gr.Interface(fn=TTS, inputs="text", outputs="text") | |
iface.launch(share=Flase) |