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import gradio as gr
from transformers import MarianMTModel, MarianTokenizer
def translate(text, target_language):
language_codes = {
"Spanish": "es",
"French (European)": "fr",
"French (Canadian)": "fr",
"Italian": "it",
"Ukrainian": "uk",
"Portuguese (Brazilian)": "pt_BR",
"Portuguese (European)": "pt",
"Russian": "ru",
"Chinese": "zh",
"Dutch": "nl",
"German": "de",
"Arabic": "ar",
"Hebrew": "he",
"Greek": "el"
}
target_language_code = language_codes[target_language]
model_name = f'helsinki-nlp/opus-mt-en-{target_language_code}'
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs)
translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
return translation
language_options = [
"Spanish", "French (European)", "French (Canadian)", "Italian", "Ukrainian",
"Portuguese (Brazilian)", "Portuguese (European)", "Russian", "Chinese",
"Dutch", "German", "Arabic", "Hebrew", "Greek"
]
iface = gr.Interface(
fn=translate,
inputs=[
gr.inputs.Textbox(lines=5, label="Enter text to translate:"),
gr.inputs.Dropdown(choices=language_options, label="Target Language"),
],
outputs=gr.outputs.Textbox(label="Translated Text"),
)
iface.launch()
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