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import gradio as gr
from transformers import T5ForConditionalGeneration, T5Tokenizer
model_name = 'jbochi/madlad400-3b-mt'
model = T5ForConditionalGeneration.from_pretrained(model_name, device_map="auto")
tokenizer = T5Tokenizer.from_pretrained(model_name)
def translate_to_russian(input_text):
full_input_text = "<2ru>" + input_text
input_ids = tokenizer(full_input_text, return_tensors="pt").input_ids.to(model.device)
outputs = model.generate(
input_ids=input_ids,
max_length=256,
num_beams=3,
no_repeat_ngram_size=2,
length_penalty=1.2
)
translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
return translated_text
# Define Gradio interface
iface = gr.Interface(
fn=translate_to_russian,
inputs=[gr.Textbox(lines=10, placeholder="Enter text to translate")],
outputs="textbox",
title="Translate to Russian",
description="Enter text in English and get the Russian translation.",
)
# Launch the interface
iface.launch(debug=True)
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