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BambaraTranslator
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import gradio as gr
from transformers import pipeline
from typing import Union, List

class BambaraTranslator:
    def __init__(self, model_name: str = "sudoping01/nllb-bambara-v2"):
        self.translator = pipeline(
            "translation",
            model=model_name,
            max_length=512,
            truncation=True ,
            device=-1  # Force CPU
        )
        self.flores_codes = {
            "French": "fra_Latn",
            "English": "eng_Latn",
            "Bambara": "bam_Latn"
        }

    def translate(self, text: Union[str, List[str]], src_lang: str, tgt_lang: str) -> Union[str, List[str]]:
        source_lang = self.flores_codes[src_lang]
        target_lang = self.flores_codes[tgt_lang]
        if isinstance(text, str):
            translation = self.translator(text, src_lang=source_lang, tgt_lang=target_lang)
            return str(translation[0]['translation_text'])
        translations = self.translator(text, src_lang=source_lang, tgt_lang=target_lang)
        return [str(t['translation_text']) for t in translations]

# Initialize translator
translator = BambaraTranslator()

# Three examples (Bambara, French, English)
examples = [
    "An filɛ ni ye yɔrɔ minna ni an ye an sigi ka a layɛ yala an bɛ ka baara min kɛ ɛsike a kɛlen don ka Ɲɛ wa ? Bɛɛ ka kan ka i jɔyɔrɔ fa walasa an ka se ka taa Ɲɛ",
    "Le Mali est un pays riche en culture mais confronté à de nombreux défis.",
    "The sun rises every morning to bring light to the world."
]

def translate_text(src_lang, tgt_lang, text):
    if not text.strip():
        return "Please enter text to translate."
    if src_lang == tgt_lang:
        return "Source and target languages must be different."
    try:
        result = translator.translate(text, src_lang, tgt_lang)
        return result
    except Exception as e:
        return f"Error: {str(e)}"

with gr.Blocks(title="Bambara Translator") as demo:
    gr.Markdown(
        """
        # 🇲🇱 Bambara Translator

        Translate between Bambara, French, and English instantly.


        ## How to Use
        1. Pick source and target languages
        2. Enter text or select an example
        3. Click "Translate" to see the result
        """
    )
    
    with gr.Row():
        src_lang = gr.Dropdown(choices=["Bambara", "French", "English"], label="Source Language", value="Bambara")
        tgt_lang = gr.Dropdown(choices=["Bambara", "French", "English"], label="Target Language", value="French")
        with gr.Column():
            text_input = gr.Textbox(label="Input Text", lines=5, placeholder="Type your text here...")
            example_dropdown = gr.Dropdown(
                choices=examples,
                label="Examples",
                value=examples[0]
            )
    
    translate_btn = gr.Button("Translate", variant="primary")
    output = gr.Textbox(label="Translation", lines=3)
    
    gr.Markdown(
        """
        By [sudoping01](https://huggingface.co/sudoping01), from [sudoping01/nllb-bambara-v2](https://huggingface.co/sudoping01/nllb-bambara-v2). Fine-tuned on Meta’s NLLB, CC BY-NC 4.0, non-commercial.
        """
    )
    
    # Connect functions
    translate_btn.click(
        fn=translate_text,
        inputs=[src_lang, tgt_lang, text_input],
        outputs=output
    )
    example_dropdown.change(
        fn=lambda x: x,
        inputs=example_dropdown,
        outputs=text_input
    )

demo.launch()