Upload app.py

app.py

@@ -0,0 +1,257 @@
+import streamlit as st
+from PIL import Image
+import spotipy.util as util
+import pickle
+import spotipy
+from utils import *
+
+st.set_page_config(
+    page_title="EmotionPlaylist",
+    page_icon="🎧",
+)
+debug = False
+dir_path = os.path.dirname(os.path.realpath(__file__))
+
+st.title('Customize Emotional Playlists')
+
+def centered_button(func, text, n_columns=7, args=None):
+    columns = st.columns(np.ones(n_columns))
+    with columns[n_columns//2]:
+        return func(text)
+
+# get credentials
+def setup_credentials():
+    if 'client_id' in os.environ.keys() and 'client_secret' in os.environ.keys():
+        client_info = dict(client_id=os.environ['client_id'],
+                           client_secret=os.environ['client_secret'])
+    else:
+        with open(dir_path + "/ids.pk", 'rb') as f:
+            client_info = pickle.load(f)
+
+    os.environ['SPOTIPY_CLIENT_ID'] = client_info['client_id']
+    os.environ['SPOTIPY_CLIENT_SECRET'] = client_info['client_secret']
+    os.environ['SPOTIPY_REDIRECT_URI'] = 'http://localhost:8080/'
+
+relevant_audio_features = ["danceability", "energy", "loudness", "mode", "valence", "tempo"]
+
+
+def get_client():
+    scope = "playlist-modify-public"
+    token = util.prompt_for_user_token(scope=scope)
+    sp = spotipy.Spotify(auth=token)
+    user_id = sp.me()['id']
+    return sp, user_id
+
+def extract_uris_from_links(links, url_type):
+    assert url_type in ['playlist', 'artist', 'user']
+    urls = links.split('\n')
+    uris = []
+    for url in urls:
+        if 'playlist' in url:
+            uri = url.split(f'{url_type}/')[-1].split('?')[0]
+        else:
+            uri = url.split('?')[0]
+        uris.append(uri)
+    return uris
+
+def wall_of_checkboxes(labels, max_width=10):
+    n_labels = len(labels)
+    n_rows = int(np.ceil(n_labels/max_width))
+    checkboxes = []
+    for i in range(n_rows):
+        columns = st.columns(np.ones(max_width))
+        row_length = n_labels % max_width if i == n_rows - 1 else max_width
+        for j in range(row_length):
+            with columns[j]:
+                checkboxes.append(st.empty())
+    return checkboxes
+
+def aggregate_genres(genres, legit_genres, verbose=False):
+    genres_output = dict()
+    legit_genres_formatted = [lg.replace('-', '').replace(' ', '') for lg in legit_genres]
+    for glabel in genres.keys():
+        if verbose: print('\n', glabel)
+        glabel_formatted = glabel.replace(' ', '').replace('-', '')
+        best_match = None
+        best_match_score = 0
+        for legit_glabel, legit_glabel_formatted in zip(legit_genres, legit_genres_formatted):
+            if 'jazz' in glabel_formatted:
+                best_match = 'jazz'
+                if verbose: print('\t', 'pop')
+                break
+            if 'ukpop' in glabel_formatted:
+                best_match = 'pop'
+                if verbose: print('\t', 'pop')
+                break
+            if legit_glabel_formatted == glabel_formatted:
+                if verbose: print('\t', legit_glabel_formatted)
+                best_match = legit_glabel
+                break
+            elif glabel_formatted in legit_glabel_formatted:
+                if verbose: print('\t', legit_glabel_formatted)
+                if len(glabel_formatted) > best_match_score:
+                    best_match = legit_glabel
+                    best_match_score = len(glabel_formatted)
+            elif legit_glabel_formatted in glabel_formatted:
+                if verbose: print('\t', legit_glabel_formatted)
+                if len(legit_glabel_formatted) > best_match_score:
+                    best_match = legit_glabel
+                    best_match_score = len(legit_glabel_formatted)
+
+        if best_match is not None:
+            if verbose: print('\t', '-->', best_match)
+            if best_match in genres_output.keys():
+                genres_output[best_match] += genres[glabel]
+            else:
+                genres_output[best_match] = genres[glabel]
+    return genres_output
+
+def setup_streamlite():
+    setup_credentials()
+    image = Image.open(dir_path + '/image.png')
+    st.image(image)
+
+    st.markdown("This app let's you quickly build playlists in a customized way: ")
+    st.markdown("* **It's easy**: you won't have to add songs one by one,\n"
+                "* **You're in control**: you provide a source of candidate songs, select a list of genres and choose the mood for the playlist.")
+
+    st.subheader("Step 1: Connect to your Spotify app")
+    st.markdown("Log into your Spotify account to let the app create the custom playlist.")
+    if 'login' not in st.session_state:
+        login = centered_button(st.button, 'Log in', n_columns=7)
+        if login or debug:
+            sp, user_id = get_client()
+            legit_genres = sp.recommendation_genre_seeds()['genres']
+            st.session_state['login'] = (sp, user_id, legit_genres)
+
+    if 'login' in st.session_state or debug:
+        if not debug: sp, user_id, legit_genres = st.session_state['login']
+        st.success('You are logged in.')
+
+        st.subheader("Step 2: Select candidate songs")
+        st.markdown("This can be done in three ways: \n"
+                    "1. Get songs from a list of artists\n"
+                    "2. Get songs from a list of users (and their playlists)\n"
+                    "3. Get songs from a list of playlists.\n"
+                    "For this you'll need to collect the urls of artists, users and/or playlists by clicking on 'Share' and copying the urls."
+                    "You need to provide at least one source of music.")
+
+        label_artist = "Add a list of artist urls, one per line (optional)"
+        artists_links = st.text_area(label_artist, value="")
+        users_playlists = "Add a list of users urls, one per line (optional)"
+        users_links = st.text_area(users_playlists, value="")
+        label_playlists = "Add a list of playlists urls, one per line (optional)"
+        playlist_links = st.text_area(label_playlists, value="https://open.spotify.com/playlist/1H7a4q8JZArMQiidRy6qon?si=529184bbe93c4f73")
+
+        button = centered_button(st.button, 'Extract music', n_columns=5)
+        if button or debug:
+            if playlist_links != "":
+                playlist_uris = extract_uris_from_links(playlist_links, url_type='playlist')
+            else:
+                raise ValueError('Please enter a list of playlists')
+            # Scanning playlists
+            st.spinner(text="Scanning music sources..")
+            data_tracks = get_all_tracks_from_playlists(sp, playlist_uris, verbose=True)
+            st.success(f'{len(data_tracks.keys())} tracks found!')
+
+            # Extract audio features
+            st.spinner(text="Extracting audio features..")
+            all_tracks_uris = np.array(list(data_tracks.keys()))
+            all_audio_features = [data_tracks[uri]['track']['audio_features'] for uri in all_tracks_uris]
+            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]))
+            genres = dict()
+            for index, uri in enumerate(all_tracks_uris):
+                track = data_tracks[uri]
+                track_genres = track['track']['genres']
+                for g in track_genres:
+                    if g not in genres.keys():
+                        genres[g] = [index]
+                    else:
+                        genres[g].append(index)
+            genres = aggregate_genres(genres, legit_genres)
+            genres_labels = sorted(genres.keys())
+            st.success(f'Audio features extracted!')
+            st.session_state['music_extracted'] = dict(all_tracks_uris=all_tracks_uris,
+                                                       all_tracks_audio_features=all_tracks_audio_features,
+                                                       genres=genres,
+                                                       genres_labels=genres_labels)
+
+        if 'music_extracted' in st.session_state.keys():
+            all_tracks_uris = st.session_state['music_extracted']['all_tracks_uris']
+            all_tracks_audio_features = st.session_state['music_extracted']['all_tracks_audio_features']
+            genres = st.session_state['music_extracted']['genres']
+            genres_labels = st.session_state['music_extracted']['genres_labels']
+
+            st.subheader("Step 3: Customize it!")
+            st.markdown("##### Which genres?")
+            st.markdown("Check boxes to select genres, see how many tracks were selected below. Note: to check all, first uncheck all (bug).")
+            columns = st.columns(np.ones(5))
+            with columns[1]:
+                check_all = st.button('Check all')
+            with columns[3]:
+                uncheck_all = st.button('Uncheck all')
+
+            if 'checkboxes' not in st.session_state.keys():
+                st.session_state['checkboxes'] = [True] * len(genres_labels)
+
+            empty_checkboxes = wall_of_checkboxes(genres_labels, max_width=5)
+            if check_all:
+                st.session_state['checkboxes'] = [True] * len(genres_labels)
+            if uncheck_all:
+                st.session_state['checkboxes'] = [False] * len(genres_labels)
+            for i_emc, emc in enumerate(empty_checkboxes):
+                st.session_state['checkboxes'][i_emc] = emc.checkbox(genres_labels[i_emc], value=st.session_state['checkboxes'][i_emc])
+
+
+            # filter songs by genres
+            selected_labels = [genres_labels[i] for i in range(len(genres_labels)) if st.session_state['checkboxes'][i]]
+            genre_selected_indexes = []
+            for label in selected_labels:
+                genre_selected_indexes += genres[label]
+            genre_selected_indexes = np.array(sorted(set(genre_selected_indexes)))
+            if len(genre_selected_indexes) < 10:
+                st.warning('Please select more genres or add more music sources.')
+            else:
+                st.success(f'{len(genre_selected_indexes)} candidate tracks selected.')
+
+                st.markdown("##### What's the mood?")
+                valence = st.slider('Valence (0 negative, 100 positive)', min_value=0, max_value=100, value=100, step=1) / 100
+                energy = st.slider('Energy (0 low, 100 high)', min_value=0, max_value=100, value=100, step=1) / 100
+                danceability = st.slider('Danceability (0 low, 100 high)', min_value=0, max_value=100, value=100, step=1) / 100
+
+                target_mood = np.array([valence, energy, danceability]).reshape(1, 3)
+                candidate_moods = np.array([np.array(all_tracks_audio_features[feature])[genre_selected_indexes] for feature in ['valence', 'energy', 'danceability']]).T
+
+                distances = np.sqrt(((candidate_moods - target_mood) ** 2).sum(axis=1))
+                min_dist_indexes = np.argsort(distances)
+
+                n_candidates = distances.shape[0]
+                if n_candidates < 25:
+                    st.warning('Please add more music sources or select more genres.')
+                else:
+                    playlist_length = st.number_input(f'Pick a playlist length, given {n_candidates} candidates.', min_value=5,
+                                                      value=min(10, n_candidates//5), max_value=n_candidates//5)
+
+                    selected_tracks_indexes = genre_selected_indexes[min_dist_indexes[:playlist_length]]
+                    selected_tracks_uris = all_tracks_uris[selected_tracks_indexes]
+
+                    playlist_name = st.text_input('Playlist name', value='Mood Playlist')
+                    if playlist_name == '':
+                        st.warning('Please enter a playlist name.')
+                    else:
+                        generation_button = st.button('Generate playlist')
+                        if generation_button:
+                            description = f'Emotion Playlist for Valence: {valence}, Energy: {energy}, Danceability: {danceability}). ' \
+                                          f'Playlist generated by the EmotionPlaylist app: https://huggingface.co/spaces/ccolas/EmotionPlaylist.'
+                            playlist_info = sp.user_playlist_create(user_id, playlist_name, public=True, collaborative=False, description=description)
+                            playlist_uri = playlist_info['uri'].split(':')[-1]
+                            sp.playlist_add_items(playlist_uri, selected_tracks_uris)
+
+                            st.success(f'The playlist has been generated, find it [here](https://open.spotify.com/playlist/{playlist_uri}).')
+
+
+                    stop = 1
+
+
+if __name__ == '__main__':
+    setup_streamlite()