chnages to path

ui/app.py

@@ -33,12 +33,12 @@ similarity = form1.slider("Similarity", 0.0, 1.0, similarity_default)
 submit = form1.form_submit_button("Submit")
 
 if submit:
-    song_list = [librosa.load(f"../input_songs/{song}.mp3", sr=22050)[0] for song in song_options]
-    print(song_options)
+    song_list = [librosa.load(os.path.join(os.getcwd(),f"../input_songs/{song}.mp3"), sr=22050)[0] for song in song_options]
+    print(song_options,print(song_list))
     
     spectrogram, generated_song, model_name = generation_utilities.generate_songs(song_list, similarity=similarity, quality=500, merging_quality=100, device='cuda')
     st.session_state['song_name'] = song_options[0]
-    st.session_state['song_list'] = [f"../input_songs/{song}.mp3" for song in song_options]
+    st.session_state['song_list'] = [os.path.join(os.getcwd(),f"../input_songs/{song}.mp3") for song in song_options]
     st.session_state['song_name'] = '_'.join(song_options)
     st.session_state['similarity'] = similarity
     st.session_state['model_name'] = model_name

ui/pages/rating.py

@@ -4,9 +4,10 @@ st.set_page_config(initial_sidebar_state="collapsed")
 import glob
 import shutil
 import sys
+import os
 sys.path.append('../../')
-spectrograms = glob.glob("temp*.npy")
-generated_songs = glob.glob("temp*.wav")
+spectrograms = glob.glob(os.path.join(os.getcwd(),"temp*.npy"))
+generated_songs = glob.glob(os.path.join(os.getcwd(),"temp*.wav"))
 
 st.markdown("# Original Song")
 for s in st.session_state['song_list']: