Update app.py

app.py

@@ -5,6 +5,8 @@ import requests
 from transformers import pipeline
 import torch
 
+HF_TOKEN = os.getenv("Hf_token")
+
 # Set your FastAPI backend endpoint
 BACKEND_URL = "https://asr-evaluation-backend.emergentai.ug/submit-feedback"
 
@@ -34,7 +36,15 @@ os.makedirs("responses", exist_ok=True)
 
 # Transcription function
 device = 0 if torch.cuda.is_available() else -1
-asr_pipelines = {lang: pipeline("automatic-speech-recognition", model=model_name, device=device) for lang, model_name in model_map.items()}
+asr_pipelines = {
+    lang: pipeline(
+        "automatic-speech-recognition",
+        model=model_name,
+        device=device,
+        token=HF_TOKEN 
+    )
+    for lang, model_name in model_map.items()
+}
 
 def transcribe(audio, language):
     asr = asr_pipelines[language]