| from transformers import pipeline | |
| generate=pipeline("translation_en_to_fr",model="t5-large") | |
| import gradio as gr | |
| title=""" <hi> Translate English text to French</h1>""" | |
| description="""<h5> This app is for english french language translation</h5>""" | |
| def en_fr(english_text): | |
| fr=generate(english_text) | |
| translation=fr[0]["translation_text"] | |
| return translation | |
| demo =gr.Interface(fn=en_fr, | |
| inputs=gr.Textbox(label="English"), | |
| outputs=gr.Textbox(label="French"), | |
| title=title, | |
| description=description, | |
| examples=[["Hello! My name is Abubakar"], ["How are you?"]]) | |
| if __name__ =="__main__": | |
| demo.launch() |