Update app.py

app.py

@@ -68,8 +68,8 @@ 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 to tensor
-    waveform, sample_rate = torchaudio.load(audio_file)
+    audio_file = audio_tuple[0] # assumes first element of the tuple contains the file path;
+    waveform, sample_rate = torchaudio.load(audio_file) # to avoid TypeError here
 
     if waveform.ndim > 1:
         waveform = waveform[0, :]