Update app.py

app.py

@@ -10,22 +10,6 @@ import os
 import accelerate
 
 
-# steamlit setup
-st.set_page_config(page_title="Sentiment Analysis on Your Cantonese Song",)
-st.header("Cantonese Song Sentiment Analyzer")
-input_file = st.file_uploader("upload a song in mp3 format", type="mp3") # upload song
-if input_file is not None:
-   st.write("File uploaded successfully!")
-   st.write(input_file)
-else:
-   st.write("No file uploaded.")
-button_click = st.button("Run Analysis", type="primary")
-
-
-# load song
-#input_file = os.path.isfile("test1.mp3")
-output_file = os.path.isdir("")
-
 
 # preprocess and crop audio file
 def audio_preprocess(file_name = '/test1/vocals.wav'):
@@ -102,7 +86,10 @@ def senti_model(transcription):
 def main():
 
 
-   processed_audio = audio_preprocess(input_file)
+   # processed_audio = audio_preprocess(input_file)
+   processed_audio = input_file
+
+
    transcription = asr_model(processed_audio)
    final_result = senti_model(transcription)
    st.write(final_result)
@@ -118,5 +105,24 @@ def main():
 
 
 if __name__ == '__main__':
+
+
+   # steamlit setup
+   st.set_page_config(page_title="Sentiment Analysis on Your Cantonese Song",)
+   st.header("Cantonese Song Sentiment Analyzer")
+   input_file = st.file_uploader("upload a song in mp3 format", type="mp3") # upload song
+   if input_file is not None:
+       st.write("File uploaded successfully!")
+       st.write(input_file)
+   else:
+       st.write("No file uploaded.")
+   button_click = st.button("Run Analysis", type="primary")
+
+
+   # load song
+   #input_file = os.path.isfile("test1.mp3")
+   output_file = os.path.isdir("")
+
+
    if button_click:
        main()