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Update app.py
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app.py
CHANGED
@@ -1,6 +1,8 @@
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from PIL import Image
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from utils import *
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from app_utils import *
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debug = False
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dir_path = os.path.dirname(os.path.realpath(__file__))
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st.title('Customize Emotional Playlists')
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def setup_streamlite():
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setup_credentials()
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print('Here1')
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image = Image.open(dir_path + '/image.png')
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st.image(image)
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st.markdown("This app let's you quickly build playlists in a customized way: ")
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st.markdown("* **It's easy**: you won't have to add songs one by one,\n"
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"* **You're in control**: you provide a source of candidate songs, select a list of genres and choose the mood for the playlist.")
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st.subheader("Step 1: Connect to your Spotify app")
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st.markdown("Log into your Spotify account to let the app create the custom playlist.")
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print('Here2')
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if 'login' not in st.session_state:
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sp, user_id = new_get_client(session=st.session_state)
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if sp != None:
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print("USER", user_id)
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legit_genres = sp.recommendation_genre_seeds()['genres']
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st.session_state['login'] = (sp, user_id, legit_genres)
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# if 'login' not in st.session_state:
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# login = centered_button(st.button, 'Log in', n_columns=7)
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# if login or debug:
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# sp, user_id = get_client(session=st.session_state)
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# user_id = sp.me()['id']
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# legit_genres = sp.recommendation_genre_seeds()['genres']
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# st.session_state['login'] = (sp, user_id, legit_genres)
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st.spinner(text="Scanning music sources..")
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st.success(f'{len(data_tracks.keys())} tracks found!')
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if 'checkboxes' not in st.session_state.keys():
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st.session_state['checkboxes'] = [True] * len(genres_labels)
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empty_checkboxes = wall_of_checkboxes(genres_labels, max_width=5)
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if check_all:
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st.session_state['checkboxes'] = [True] * len(genres_labels)
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if uncheck_all:
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st.session_state['checkboxes'] = [False] * len(genres_labels)
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for i_emc, emc in enumerate(empty_checkboxes):
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st.session_state['checkboxes'][i_emc] = emc.checkbox(genres_labels[i_emc], value=st.session_state['checkboxes'][i_emc])
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# filter songs by genres
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selected_labels = [genres_labels[i] for i in range(len(genres_labels)) if st.session_state['checkboxes'][i]]
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genre_selected_indexes = []
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for label in selected_labels:
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genre_selected_indexes += genres[label]
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genre_selected_indexes = np.array(sorted(set(genre_selected_indexes)))
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if len(genre_selected_indexes) < 10:
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st.warning('Please select more genres or add more music sources.')
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else:
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st.success(f'{len(genre_selected_indexes)} candidate tracks selected.')
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target_mood = np.array([valence, energy, danceability]).reshape(1, 3)
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candidate_moods = np.array([np.array(all_tracks_audio_features[feature])[genre_selected_indexes] for feature in ['valence', 'energy', 'danceability']]).T
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stop = 1
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if __name__ == '__main__':
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from PIL import Image
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from utils import *
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from app_utils import *
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import time
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debug = False
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dir_path = os.path.dirname(os.path.realpath(__file__))
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st.title('Customize Emotional Playlists')
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def log_to_spotify():
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st.subheader("Step 1: Connect to your Spotify app")
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st.markdown("Log into your Spotify account to let the app create the custom playlist.")
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if 'login' not in st.session_state:
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sp, user_id = new_get_client(session=st.session_state)
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if sp != None:
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legit_genres = sp.recommendation_genre_seeds()['genres']
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st.session_state['login'] = (sp, user_id, legit_genres)
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@st.cache
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def get_user_playlists(users_links):
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global sp
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# Scanning users
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n_playlists = 0
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all_uris, all_names = [], []
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if users_links != "":
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try:
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all_uris, all_names = get_all_playlists_uris_from_users(users_links.split('\n'))
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n_playlists = len(all_uris)
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except:
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st.warning('Please enter a valid list of user names (one url per line)')
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return all_uris, all_names, n_playlists
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def get_filtered_user_playlists(user_links):
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global sp
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st.spinner(text="Scanning users..")
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all_uris, all_names, n_playlists = get_user_playlists(user_links)
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if n_playlists <= 1:
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st.success(f'Currently {len(all_uris)} user playlists taken into account.')
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return all_uris
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else:
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# let the user uncheck playlists
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st.markdown("Check boxes to select playlists from the selected users."
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"Note: to check all, first uncheck all (bug).")
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columns = st.columns(np.ones(5))
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with columns[1]:
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check_all_playlists = st.button('Check all')
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with columns[3]:
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uncheck_all_playlists = st.button('Uncheck all')
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if 'checkboxes' not in st.session_state.keys():
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st.session_state['checkboxes_playlists'] = [True] * n_playlists
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empty_checkboxes = wall_of_checkboxes(all_names, max_width=5)
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if check_all_playlists:
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st.session_state['checkboxes_playlists'] = [True] * n_playlists
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if uncheck_all_playlists:
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st.session_state['checkboxes_playlists'] = [False] * n_playlists
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for i_emc, emc in enumerate(empty_checkboxes):
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st.session_state['checkboxes_playlists'][i_emc] = emc.checkbox(all_names[i_emc], value=st.session_state['checkboxes_playlists'][i_emc])
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filter_playlist = st.button('Update user playlists')
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if filter_playlist:
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return list(np.array(all_uris)[np.where(st.session_state['checkboxes_playlists'])])
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else:
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return []
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@st.cache
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def get_non_user_playlists(playlist_links):
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# Scanning playlists
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new_playlist_uris = []
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if playlist_links != "":
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st.spinner(text="Scanning playlists..")
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try:
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new_playlist_uris = extract_uris_from_links(playlist_links, url_type='playlist')
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except:
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st.warning('Please enter a valid list of playlists (one url per line)')
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return new_playlist_uris
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@st.cache
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def extract_tracks(playlist_uris):
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global sp
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# extracting tracks
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data_tracks = get_all_tracks_from_playlists(sp, playlist_uris, verbose=True)
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return data_tracks
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@st.cache
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def extract_audio_features(data_tracks, legit_genres):
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# Extract audio features
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all_tracks_uris = np.array(list(data_tracks.keys()))
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all_audio_features = [data_tracks[uri]['track']['audio_features'] for uri in all_tracks_uris]
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all_tracks_audio_features = dict(zip(relevant_audio_features, [[audio_f[k] for audio_f in all_audio_features] for k in relevant_audio_features]))
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genres = dict()
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for index, uri in enumerate(all_tracks_uris):
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track = data_tracks[uri]
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track_genres = track['track']['genres']
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for g in track_genres:
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if g not in genres.keys():
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genres[g] = [index]
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else:
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genres[g].append(index)
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genres = aggregate_genres(genres, legit_genres)
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genres_labels = sorted(genres.keys())
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return all_tracks_uris, all_tracks_audio_features, genres, genres_labels
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# st.session_state['music_extracted'] = dict(all_tracks_uris=all_tracks_uris,
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# all_tracks_audio_features=all_tracks_audio_features,
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# genres=genres,
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# genres_labels=genres_labels)
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def select_songs(legit_genres):
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global sp
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st.subheader("Step 2: Select candidate songs")
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st.markdown("This can be done in two ways: \n"
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"1. Get songs from a list of users (and their playlists)\n"
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"2. Get songs from a list of playlists.\n"
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"For this you'll need to collect user names (e.g. 'bkayf') and/or playlist urls (e.g. "
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"https://open.spotify.com/playlist/1H7a4q8JZArMQiidRy6qon) by clicking on 'Share' and copying the url. "
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"You need to provide at least one source of music.")
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users_playlists = "Add a list of user names, one per line (optional)"
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users_links = st.text_area(users_playlists, value="")
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label_playlists = "Add a list of playlists urls, one per line (optional)"
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playlist_links = st.text_area(label_playlists, value="https://open.spotify.com/playlist/1H7a4q8JZArMQiidRy6qon")
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extract_button = centered_button(st.button, 'Extract music', n_columns=5)
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all_tracks_uris, all_tracks_audio_features, genres, genres_labels = [None] * 4
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if extract_button or debug or 'extract_button' in st.session_state.keys():
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st.session_state['extract_button'] = True
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# check the user input music sources
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if playlist_links == "" and users_links == "":
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st.warning('Please enter at least one source of music.')
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else:
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st.spinner(text="Scanning music sources..")
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playlist_uris = []
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init_time = time.time()
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init_time_tot = init_time
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user_playlists = get_filtered_user_playlists(users_links)
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playlist_uris += user_playlists
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print(f'1. user playlist: {time.time() - init_time:.2f}')
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init_time = time.time()
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new_playlist_uris = get_non_user_playlists(playlist_links)
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playlist_uris += new_playlist_uris
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st.success(f'{len(new_playlist_uris)} new playlists added from {len(user_playlists)} users.')
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print(f'2. non user playlist: {time.time() - init_time:.2f}')
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init_time = time.time()
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if str(playlist_uris) in st.session_state.keys():
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data_tracks = st.session_state[str(playlist_uris)]
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else:
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data_tracks = extract_tracks(playlist_uris)
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st.session_state[str(playlist_uris)] = data_tracks
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print(f'3. track extraction: {time.time() - init_time:.2f}')
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init_time = time.time()
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all_tracks_uris, all_tracks_audio_features, genres, genres_labels = extract_audio_features(data_tracks, legit_genres)
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print(f'4. audio feature extraction: {time.time() - init_time:.2f}')
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print(f'\t total extraction: {time.time() - init_time_tot:.2f}')
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st.success(f'{len(data_tracks.keys())} tracks found!')
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return all_tracks_uris, all_tracks_audio_features, genres, genres_labels
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def customize_widgets(genres_labels):
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st.subheader("Step 3: Customize it!")
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st.markdown("##### Which genres?")
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st.markdown("Check boxes to select genres, see how many tracks were selected below. Note: to check all, first uncheck all (bug).")
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columns = st.columns(np.ones(5))
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with columns[1]:
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check_all = st.button('Check all')
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with columns[3]:
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uncheck_all = st.button('Uncheck all')
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if 'checkboxes' not in st.session_state.keys():
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st.session_state['checkboxes'] = [True] * len(genres_labels)
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empty_checkboxes = wall_of_checkboxes(genres_labels, max_width=5)
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if check_all:
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st.session_state['checkboxes'] = [True] * len(genres_labels)
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if uncheck_all:
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st.session_state['checkboxes'] = [False] * len(genres_labels)
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for i_emc, emc in enumerate(empty_checkboxes):
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st.session_state['checkboxes'][i_emc] = emc.checkbox(genres_labels[i_emc], value=st.session_state['checkboxes'][i_emc])
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st.markdown("##### What's the mood?")
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valence = st.slider('Valence (0 negative, 100 positive)', min_value=0, max_value=100, value=100, step=1) / 100
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energy = st.slider('Energy (0 low, 100 high)', min_value=0, max_value=100, value=100, step=1) / 100
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+
danceability = st.slider('Danceability (0 low, 100 high)', min_value=0, max_value=100, value=100, step=1) / 100
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+
target_mood = np.array([valence, energy, danceability]).reshape(1, 3)
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+
return target_mood
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+
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+
@st.cache
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203 |
+
def filter_songs_by_genre(checkboxes, genres_labels, genres):
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+
# filter songs by genres
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205 |
+
selected_labels = [genres_labels[i] for i in range(len(genres_labels)) if checkboxes[i]]
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206 |
+
genre_selected_indexes = []
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207 |
+
for label in selected_labels:
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+
genre_selected_indexes += genres[label]
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+
genre_selected_indexes = np.array(sorted(set(genre_selected_indexes)))
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+
return genre_selected_indexes
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211 |
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212 |
+
def find_best_songs_for_mood(all_tracks_audio_features, genre_selected_indexes, target_mood):
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213 |
+
candidate_moods = np.array([np.array(all_tracks_audio_features[feature])[genre_selected_indexes] for feature in ['valence', 'energy', 'danceability']]).T
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214 |
+
distances = np.sqrt(((candidate_moods - target_mood) ** 2).sum(axis=1))
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215 |
+
min_dist_indexes = np.argsort(distances)
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216 |
+
n_candidates = distances.shape[0]
|
217 |
+
return min_dist_indexes, n_candidates
|
218 |
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219 |
|
220 |
+
def run_app():
|
221 |
+
setup_credentials()
|
222 |
|
223 |
+
image = Image.open(dir_path + '/image.png')
|
224 |
+
st.image(image)
|
225 |
+
st.markdown("This app let's you quickly build playlists in a customized way: ")
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+
st.markdown("* **It's easy**: you won't have to add songs one by one,\n"
|
227 |
+
"* **You're in control**: you provide a source of candidate songs, select a list of genres and choose the mood for the playlist.")
|
228 |
+
fake = centered_button(st.button, "Let's go", n_columns=7, disabled=True)
|
229 |
+
|
230 |
+
log_to_spotify()
|
231 |
+
|
232 |
+
if 'login' in st.session_state or debug:
|
233 |
+
global sp
|
234 |
+
if not debug: sp, user_id, legit_genres = st.session_state['login']
|
235 |
+
st.success('You are logged in.')
|
236 |
+
|
237 |
+
all_tracks_uris, all_tracks_audio_features, genres, genres_labels = select_songs(legit_genres)
|
238 |
+
if all_tracks_uris is not None:
|
239 |
+
target_mood = customize_widgets(genres_labels)
|
240 |
+
|
241 |
+
custom_button = centered_button(st.button, 'Run customization', n_columns=5)
|
242 |
+
if custom_button or 'run_custom' in st.session_state.keys():
|
243 |
+
st.session_state['run_custom'] = True
|
244 |
+
checkboxes = st.session_state['checkboxes'].copy()
|
245 |
+
init_time = time.time()
|
246 |
+
genre_selected_indexes = filter_songs_by_genre(checkboxes, genres_labels, genres)
|
247 |
+
if len(genre_selected_indexes) < 10:
|
248 |
+
genre_selected_indexes = None
|
249 |
+
st.warning('Please select more genres or add more music sources.')
|
250 |
else:
|
251 |
+
st.success(f'{len(genre_selected_indexes)} candidate tracks selected.')
|
252 |
+
print(f'6. filter by genre: {time.time() - init_time:.2f}')
|
253 |
+
init_time = time.time()
|
254 |
+
if genre_selected_indexes is not None:
|
255 |
+
min_dist_indexes, n_candidates = find_best_songs_for_mood(all_tracks_audio_features, genre_selected_indexes, target_mood)
|
256 |
+
|
257 |
+
print(f'7. filter by mood: {time.time() - init_time:.2f}')
|
258 |
+
init_time = time.time()
|
259 |
+
if n_candidates < 25:
|
260 |
+
st.warning('Please add more music sources or select more genres.')
|
261 |
else:
|
262 |
+
playlist_length = st.number_input(f'Pick a playlist length, given {n_candidates} candidates.', min_value=5,
|
263 |
+
value=min(10, n_candidates//5), max_value=n_candidates//5)
|
264 |
+
|
265 |
+
selected_tracks_indexes = genre_selected_indexes[min_dist_indexes[:playlist_length]]
|
266 |
+
selected_tracks_uris = all_tracks_uris[selected_tracks_indexes]
|
267 |
+
np.random.shuffle(selected_tracks_uris)
|
268 |
+
|
269 |
+
playlist_name = st.text_input('Playlist name', value='Mood Playlist')
|
270 |
+
if playlist_name == '':
|
271 |
+
st.warning('Please enter a playlist name.')
|
272 |
+
else:
|
273 |
+
print(f'8. build playlist: {time.time() - init_time:.2f}')
|
274 |
+
init_time = time.time()
|
275 |
+
generation_button = centered_button(st.button, 'Generate playlist', n_columns=5)
|
276 |
+
if generation_button:
|
277 |
+
description = f'Emotion Playlist for Valence: {target_mood[0]}, ' \
|
278 |
+
f'Energy: {target_mood[1]}, ' \
|
279 |
+
f'Danceability: {target_mood[2]}). ' \
|
280 |
+
f'Playlist generated by the EmotionPlaylist app: https://huggingface.co/spaces/ccolas/EmotionPlaylist.'
|
281 |
+
playlist_info = sp.user_playlist_create(user_id, playlist_name, public=True, collaborative=False, description=description)
|
282 |
+
playlist_uri = playlist_info['uri'].split(':')[-1]
|
283 |
+
sp.playlist_add_items(playlist_uri, selected_tracks_uris)
|
284 |
+
st.write(
|
285 |
+
f"""
|
286 |
+
<html>
|
287 |
+
<body>
|
288 |
+
<center>
|
289 |
+
<iframe style = "border-radius:12px" src="https://open.spotify.com/embed/playlist/{playlist_uri}" allowtransparency="true"
|
290 |
+
allow="encrypted-media" width="80%" height="580" frameborder="0"></iframe></center></body></html>
|
291 |
+
""", unsafe_allow_html=True)
|
292 |
+
|
293 |
+
st.success(f'The playlist has been generated, find it [here](https://open.spotify.com/playlist/{playlist_uri}).')
|
294 |
|
295 |
|
296 |
stop = 1
|
297 |
|
298 |
if __name__ == '__main__':
|
299 |
+
run_app()
|