| 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() |
