| 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[0]['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", | |
| examples = ["India is my country and all Indians are my brothers and sisters. I love my country and I am proud of its rich and varied heritage. I shall always strive to be worthy of it. I shall give my parents, teachers and all elders respect and treat everyone with courtesy. To my country and my people, I pledge my devotion. In their well-being and prosperity alone lies my happiness."] | |
| ) | |
| demo.launch() |