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import gradio as gr
from transformers import MarianTokenizer, MarianMTModel
# Load the translation model and tokenizer
model_name = "Helsinki-NLP/opus-mt-en-ro"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)
def translate(text):
# Tokenize and translate the input text
inputs = tokenizer(text, return_tensors="pt")
translation = model.generate(**inputs)
translated_text = tokenizer.decode(translation[0], skip_special_tokens=True)
return translated_text
# Create a Gradio interface
app = gr.Interface(
fn=translate,
inputs=gr.Textbox(label="Enter an English sentence:"),
outputs=gr.Textbox(label="Romanian Translation:"),
live=True,
)
if __name__ == "__main__":
app.launch()
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