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import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
model_name = "Khadidja22/my_awesome_opus_books_model"
# Load the tokenizer and model
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
def translate(text):
inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=512).input_ids
outputs = model.generate(inputs, max_length=512, num_beams=5, early_stopping=True)
translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
return translated_text
# Create a Gradio interface
interface = gr.Interface(fn=translate,
inputs=gr.Textbox(lines=2, placeholder="Enter English text to translate..."),
outputs=gr.Textbox(),
title="English to French Translation",
description="Translate English text to French using a fine-tuned model, start your sentence with translate English to French:")
# Launch the interface
interface.launch() |