Update app.py

app.py

@@ -22,7 +22,7 @@ button_click = st.button("Run Analysis", type="primary")
 
 # load song
 input_file = "test1.mp3"
-output_file = ""
+output_file = os.path.join(os.path.dirname(__file__)
 
 # preprocess and crop audio file
 def audio_preprocess():
@@ -34,15 +34,16 @@ def audio_preprocess():
     start_time = 60000  # e.g. 30 seconds, 30000
     end_time = 110000  # e.g. 40 seconds, 40000
 
-    audio = AudioSegment.from_file('/test1/vocals.wav')
+    audio = AudioSegment.from_file(os.path.join(os.path.dirname(__file__), 'vocals.wav'))
     cropped_audio = audio[start_time:end_time]
-    cropped_audio.export('cropped_vocals.wav', format='wav') # save vocal audio file
+    cropped_audio.export(os.path.join(os.path.dirname(__file__), 'cropped_vocals.wav'), format='wav') # save vocal audio file
 
 
 # ASR transcription
 def asr_model():
     # load audio file
-    y, sr = librosa.load('cropped_vocals.wav', sr=16000)
+    #y, sr = librosa.load('cropped_vocals.wav', sr=16000)
+    y, sr = librosa.load(os.path.join(os.path.dirname(__file__), 'cropped_vocals.wav'), sr=16000)
 
     # ASR model
     MODEL_NAME = "RexChan/ISOM5240-whisper-small-zhhk_1"