| import gradio as gr |
| import subprocess |
| subprocess.check_call(["pip", "install", "transformers"]) |
| subprocess.check_call(["pip", "install", "torch"]) |
|
|
| from transformers import pipeline |
|
|
| pipe = pipeline("text2text-generation", model="balaramas/mbart-sahitrans_new_data") |
|
|
|
|
| def sanmt(txt): |
| output=pipe(txt, max_length=20, min_length=5, do_sample=False)[0]['generated_text'] |
| return output |
|
|
| iface = gr.Interface( |
| fn=sanmt, |
| inputs=gr.Textbox(label="Enter text in Sanskrit", placeholder="Type here..."), |
| outputs=gr.Textbox(label="Translated Hindi Text"), |
| title="Sanskrit to Hindi Translator" |
| ) |
| iface.launch() |
