Update app.py

app.py

@@ -24,12 +24,13 @@ device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 translator = None
 whisper_model = None
 
+HF_TOKEN = os.getenv("HF_TOKEN")
 def load_hausa_model():
     global translator
     if translator is None:
         model_name = "LocaleNLP/english_hausa"
-        model = AutoModelForSeq2SeqLM.from_pretrained(model_name).to(device)
-        tokenizer = MarianTokenizer.from_pretrained(model_name)
+        model = AutoModelForSeq2SeqLM.from_pretrained(model_name, token=HF_TOKEN).to(device)
+        tokenizer = MarianTokenizer.from_pretrained(model_name, token=HF_TOKEN)
         translator = pipeline("translation", model=model, tokenizer=tokenizer, device=0 if device.type == 'cuda' else -1)
     return translator