Create app.py

app.py

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+import gradio as gr
+from transformers import MT5ForConditionalGeneration, MT5Tokenizer
+
+model_name = "SeyedAli/English-To-Persian-Translation-mT5-V1"
+tokenizer = MT5Tokenizer.from_pretrained(model_name)
+model = MT5ForConditionalGeneration.from_pretrained(model_name)
+
+text_input = gr.TextArea(label="جمله انگلیسی",text_align="right",rtl=True,type="text")
+text_output = gr.TextArea(label="ترجمه فارسی",text_align="right",rtl=True,type="text")
+
+def Translate(text, **generator_args):
+    input_ids = tokenizer.encode(text, return_tensors="pt")
+    res = model.generate(input_ids, **generator_args)
+    output = tokenizer.batch_decode(res, skip_special_tokens=True)[0]
+    return output
+
+iface = gr.Interface(fn=Translate, inputs=text_input, outputs=text_output)
+iface.launch(share=False)