Final commit for HF Spaces

app.py

@@ -14,7 +14,7 @@ login(token=os.environ['hf_token'])
 #     dis = 'This demo will transcribe ATC audio files by using the Whisper Large v2 model fine-tuned on the ATCO2, ATCOSIM and ANSP datasets. \n \n Further it uses a Named Entity Recognition model to extract callsigns, commands and values from the transcription. \n This model is based on Google\'s BERT model and fine-tuned on the ATCO2 dataset.'
 
 # except:
-whisper = pipeline(model='jlvdoorn/whisper-large-v2-atco2-asr-atcosim', use_auth_token=os.environ['hf_token'], task='automatic-speech-recognition')
+whisper = pipeline(model='jlvdoorn/whisper-large-v2-atco2-asr-atcosim')
 ttl = 'Whisper Large v2 - ATCO2-ATCOSIM'
 dis = 'This demo will transcribe ATC audio files by using the Whisper Large v2 model fine-tuned on the ATCO2 and ATCOSIM datasets. \n \n Further it uses a Named Entity Recognition model to extract callsigns, commands and values from the transcription. \n This model is based on Google\'s BERT model and fine-tuned on the ATCO2 dataset.'