Update app.py

app.py

@@ -72,7 +72,14 @@ pipe = pipeline("automatic-speech-recognition", model="NbAiLab/nb-whisper-large"
 @spaces.GPU()
 def transcribe_audio(audio_file, filepath, batch_size=16, sample_rate=16000):
     
-    waveform, sample_rate = torchaudio.load(str(audio_file)) #3
+    if not isinstance(filepath, str):
+        raise ValueError("Expected a file path string, but received something else.")
+
+    # Ensure the file exists before trying to load it
+    if not Path(filepath).is_file():
+        raise FileNotFoundError(f"The file {filepath} does not exist.")
+
+    waveform, sample_rate = torchaudio.load(filepath)   
     #waveform, sample_rate = torchaudio.load("{filepath}") #2
            
     # --convert to mono