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import gradio as gr | |
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM | |
model_name = "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() |