app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

# Charger le modèle depuis Hugging Face
model_name = "MaroneAI/Niani-Translator_French-To-Wolof"

# ✅ Correction : ignorer le tokenizer.json et forcr SentencePiece
tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=False)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)

def translate(text):
    inputs = tokenizer(text, return_tensors="pt", padding=True)
    outputs = model.generate(**inputs, max_length=256)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

demo = gr.Interface(
    fn=translate,
    inputs=gr.Textbox(lines=3, placeholder="Entrez un texte en français..."),
    outputs=gr.Textbox(label="Traduction en wolof"),
    title="Niani Translator 🌍",
    description="Modèle de traduction Français → Wolof fine-tuné par MaroneAI."
)

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