app.py

import gradio as gr

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

model_path = "anzorq/m2m100_418M_ft_ru-kbd_44K"  
src_lang="ru" 
tgt_lang="zu"

tokenizer = AutoTokenizer.from_pretrained(model_path, src_lang=src_lang)
model = AutoModelForSeq2SeqLM.from_pretrained(model_path)

def translate(text):
  inputs = tokenizer(text, return_tensors="pt")

  translated_tokens = model.generate(
      **inputs, forced_bos_token_id=tokenizer.lang_code_to_id[tgt_lang], num_beams=4, num_return_sequences=4
  )

  translations = []
  for translation in tokenizer.batch_decode(translated_tokens, skip_special_tokens=True):
      translations.append(translation)

  return translations

output = gr.outputs.Textbox()
iface = gr.Interface(fn=translate, inputs="text", outputs=output)
iface.launch()