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import gradio as gr | |
from transformers import MT5ForConditionalGeneration, MT5Tokenizer | |
model_name = "SeyedAli/Persian-to-English-Translation-mT5-V1" | |
tokenizer = MT5Tokenizer.from_pretrained(model_name) | |
model = MT5ForConditionalGeneration.from_pretrained(model_name) | |
text_input = gr.TextArea(label="جمله فارسی",text_align="right",rtl=True,type="text") | |
text_output = gr.TextArea(label="ترجمه انگلیسی",text_align="right",rtl=True,type="text") | |
def Translate(text, **generator_args): | |
input_ids = tokenizer.encode(input_string, return_tensors="pt") | |
res = model.generate(input_ids, **generator_args) | |
output = tokenizer.batch_decode(res, skip_special_tokens=True) | |
print(output) | |
return output | |
iface = gr.Interface(fn=Translate, inputs=text_input, outputs=text_output) | |
iface.launch(share=False) |