wasm-dastee8 / app.py
wasmdashai's picture
Create app.py
fcd1b85 verified
raw
history blame
391 Bytes
import gradio as gr
from transformers import VitsModel, AutoTokenizer
import torch
def greet(name):
model = VitsModel.from_pretrained("wasmdashai/vits-ar-sa-huba-v2",cache_dir=".")
tokenizer = AutoTokenizer.from_pretrained("wasmdashai/vits-ar-sa-huba-v2",cache_dir=".")
return "Hello " + name + "!!"
demo = gr.Interface(fn=greet, inputs="text", outputs="text")
demo.launch()