Update app.py

app.py

@@ -34,13 +34,18 @@ MODELS = {
 }
 
 def convert_audio_to_wav(audio_path):
+    if os.path.isdir(audio_path):
+        raise ValueError(f"The path provided is a directory: {audio_path}")
     wav_path = "converted_audio.wav"
     command = ["ffmpeg", "-i", audio_path, "-ac", "1", "-ar", "16000", wav_path]
     subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
     return wav_path
 
 def detect_language(audio_path):
-    speech, _ = librosa.load(audio_path, sr=16000, duration=30)
+    try:
+        speech, _ = librosa.load(audio_path, sr=16000, duration=30)
+    except Exception as e:
+        raise ValueError(f"Error loading audio file with librosa: {e}")
     
     processor = WhisperProcessor.from_pretrained("openai/whisper-base")
     model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-base")