token

app.py

@@ -35,13 +35,15 @@ import ffmpeg
 from transformers import Wav2Vec2ForCTC, Wav2Vec2Tokenizer
 import librosa
 
+HF_TOKEN = os.environ.get("HUGGINGFACEHUB_API_TOKEN")
+
 st.title("TemplarX-Medium-Indonesian Transcription App")
 st.text("Model Whisper (TemplarX-medium-Indonesian) telah dimuat:")
 
 def load_whisper_model():
     model_name = "jonnatakusuma/TemplarX-medium-Indonesian"
     tokenizer = Wav2Vec2Tokenizer.from_pretrained(model_name)
-    model = Wav2Vec2ForCTC.from_pretrained(model_name)
+    model = Wav2Vec2ForCTC.from_pretrained(model_name, token=HF_TOKEN)
     return tokenizer, model
 
 audio_file = st.file_uploader("Unggah Meeting Audio", type=["mp3", "wav", "m4a"])