import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

# Load the tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("mohamedtolba/franco-arabic")
model = AutoModelForSeq2SeqLM.from_pretrained("mohamedtolba/franco-arabic")

def translate_text(text):
    # Tokenize the input text
    inputs = tokenizer(text, return_tensors="pt", truncation=True)
    # Generate the output text
    outputs = model.generate(**inputs)
    # Decode the generated text
    translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return translated_text

# Create the Gradio interface
iface = gr.Interface(
    fn=translate_text,
    inputs=gr.Textbox(lines=2, placeholder="Enter Franco-Arabic text here..."),
    outputs="text",
    title="Franco-Arabic to Arabic Translator",
    description="Translate Franco-Arabic text to Arabic using the mohamedtolba/franco-arabic model."
)

if __name__ == "__main__":
    iface.launch()