| import gradio as gr | |
| from transformers import pipeline | |
| translator = pipeline("translation", model="vsrinivas/marian-finetuned-kde4-en-to-hi") | |
| def translate(input): | |
| output = translator(input) | |
| return output['translation_text'] | |
| demo = gr.Interface(fn=translate, | |
| inputs=[gr.Textbox(label="English text that you want to translate into Hindi !", lines=6)], | |
| outputs=[gr.Textbox(label="Translated Hindi Text !!!", lines=3)], | |
| title="English to Hindi Text translation test and demo app by Srinivas.V ..", | |
| description="Translates English text into Hindi text", | |
| allow_flagging="never" | |
| ) | |
| demo.launch() |