Update app.py

app.py

@@ -68,7 +68,9 @@ pipe = pipeline("automatic-speech-recognition", model="NbAiLab/nb-whisper-large"
 
 @spaces.GPU()
 def transcribe_audio(audio_file, batch_size=16, sample_rate =16000):
-    audio_file = audio_tuple[0] # assumes first element of the tuple contains the file path;
+    if isinstance(audio_file, tuple):
+        audio_file = audio_file[0] # assumes first element contains the file path;
+        
     waveform, sample_rate = torchaudio.load(audio_file) # to avoid TypeError here
 
     if waveform.ndim > 1: