Fix: Use NllbTokenizer instead of AutoTokenizer

- Fixes AttributeError with NLLB model loading
- AutoTokenizer can't auto-detect NLLB tokenizer class
- Now using NllbTokenizer explicitly

app.py

@@ -81,9 +81,9 @@ def load_models():
     print("✅ TTS prêt!")
 
     # Translation (Dioula → Français)
-    from transformers import AutoModelForSeq2SeqLM
+    from transformers import AutoModelForSeq2SeqLM, NllbTokenizer
     print("⏳ Chargement du modèle de traduction (Dioula → Français)...")
-    translate_tokenizer = AutoTokenizer.from_pretrained("facebook/nllb-200-distilled-600M")
+    translate_tokenizer = NllbTokenizer.from_pretrained("facebook/nllb-200-distilled-600M")
     translate_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-distilled-600M").to(device)
     print("✅ Traduction prête!")