Update app.py

app.py

@@ -5,10 +5,10 @@ from transformers import T5ForConditionalGeneration,AutoTokenizer,pipeline
 tokenizer = AutoTokenizer.from_pretrained('SeyedAli/Persian-Text-paraphraser-mT5-V1',model_max_length=100, add_special_tokens = True)
 model = T5ForConditionalGeneration.from_pretrained('SeyedAli/Persian-Text-paraphraser-mT5-V1')
 
-def NER(text):
+def Paraphrase(text):
     pipline = pipeline(task='text2text-generation', model=model, tokenizer=tokenizer)
     output=pipline(text)
     return output
 
-iface = gr.Interface(fn=NER, inputs="text", outputs="text")
+iface = gr.Interface(fn=Paraphrase, inputs="text", outputs="text")
 iface.launch(share=False)