Initial files

app.py

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+import streamlit as st
+import spotipy
+from spotipy.oauth2 import SpotifyClientCredentials
+import pandas as pd
+import matplotlib.pyplot as plt
+import os
+
+
+# Carica le credenziali di Spotify
+SPOTIPY_CLIENT_ID = os.getenv("SPOTIPY_CLIENT_ID")
+SPOTIPY_CLIENT_SECRET = os.getenv("SPOTIPY_CLIENT_SECRET")
+auth_manager = SpotifyClientCredentials(client_id=SPOTIPY_CLIENT_ID, client_secret=SPOTIPY_CLIENT_SECRET)
+sp = spotipy.Spotify(auth_manager=auth_manager)
+
+def get_artist_info(artist_name):
+    artist = sp.search(q=artist_name, type='artist')['artists']['items'][0]
+    return {
+        'name': artist['name'],
+        'id': artist['id'],
+        'followers': artist['followers']['total'],
+        'popularity': artist['popularity'],
+        'genres': artist['genres'],
+        'image': artist['images'][0]['url'] if artist['images'] else None
+    }
+
+def get_top_tracks(artist_id):
+    results = sp.artist_top_tracks(artist_id)
+    tracks = results['tracks'][:10]  # Limit to top 10 tracks
+    return [{
+        'name': track['name'],
+        'album': track['album']['name'],
+        'artist': track['artists'][0]['name'],
+        'release_date': track['album']['release_date'],
+        'popularity': track['popularity'],
+        'album_cover': track['album']['images'][0]['url'] if track['album']['images'] else None,
+        'danceability': sp.audio_features(track['id'])[0]['danceability'] if sp.audio_features(track['id']) else 0,
+        'loudness': sp.audio_features(track['id'])[0]['loudness'] if sp.audio_features(track['id']) else 0,
+        'energy': sp.audio_features(track['id'])[0]['energy'] if sp.audio_features(track['id']) else 0,
+        'valence': sp.audio_features(track['id'])[0]['valence'] if sp.audio_features(track['id']) else 0,
+        'tempo': sp.audio_features(track['id'])[0]['tempo'] if sp.audio_features(track['id']) else 0,
+        'artist_id': artist_id
+    } for track in tracks]
+
+def plot_features_comparison(data_tracks, artist1_info, artist2_info):
+    df = pd.DataFrame(data_tracks)
+    fig, ax = plt.subplots()
+    colors = {artist1_info['id']: 'blue', artist2_info['id']: 'red'}
+
+    for artist_id, group in df.groupby('artist_id'):
+        ax.scatter(group['danceability'], group['loudness'], alpha=0.7, label=group['artist'].iloc[0], c=colors[artist_id])
+    
+    plt.title('Confronto Danceability vs. Loudness')
+    plt.xlabel('Danceability')
+    plt.ylabel('Loudness (dB)')
+    plt.legend(title='Artist')
+    st.pyplot(fig)
+
+def plot_audio_features_boxplot(data_tracks, artist1_name, artist2_name):
+    df = pd.DataFrame(data_tracks)
+    fig, axs = plt.subplots(1, 4, figsize=(20, 5))  # 1 riga, 4 colonne per 4 features
+    features = ['danceability', 'energy', 'valence', 'tempo']
+    for i, feature in enumerate(features):
+        ax = axs[i]
+        artist1_data = df[df['artist'] == artist1_name][feature]
+        artist2_data = df[df['artist'] == artist2_name][feature]
+        ax.boxplot([artist1_data, artist2_data], labels=[artist1_name, artist2_name])
+        ax.set_title(f'Distribution of {feature}')
+        ax.set_ylabel(feature)
+
+    plt.tight_layout()
+    st.pyplot(fig)
+
+def plot_audio_features_violinplot(data_tracks, artist1_name, artist2_name):
+    df = pd.DataFrame(data_tracks)
+    fig, axs = plt.subplots(1, 4, figsize=(20, 5))  # 1 riga, 4 colonne per 4 features
+    features = ['danceability', 'energy', 'valence', 'tempo']
+    for i, feature in enumerate(features):
+        ax = axs[i]
+        data_to_plot = [df[df['artist'] == artist1_name][feature], df[df['artist'] == artist2_name][feature]]
+        ax.violinplot(data_to_plot)
+        ax.set_xticks([1, 2])
+        ax.set_xticklabels([artist1_name, artist2_name])
+        ax.set_title(f'Distribution of {feature}')
+        ax.set_ylabel(feature)
+
+    plt.tight_layout()
+    st.pyplot(fig)
+
+def show_average_features(data_tracks):
+    df = pd.DataFrame(data_tracks)
+    numeric_columns = ['loudness', 'danceability', 'energy', 'valence', 'tempo', 'artist']
+    df = df[numeric_columns]
+    average_features = df.groupby('artist').mean()[['loudness', 'danceability', 'energy', 'valence', 'tempo']]
+    st.write("Media delle Caratteristiche Audio per Artista:")
+    st.dataframe(average_features)
+
+def main():
+    st.title("Confronto Artisti su Spotify")
+
+    artist1_name = st.text_input("Inserisci il nome del primo artista")
+    artist2_name = st.text_input("Inserisci il nome del secondo artista")
+
+    if st.button("Confronta"):
+        if artist1_name and artist2_name:
+            artist1_info = get_artist_info(artist1_name)
+            artist2_info = get_artist_info(artist2_name)
+            artist1_tracks = get_top_tracks(artist1_info['id'])
+            artist2_tracks = get_top_tracks(artist2_info['id'])
+            data_tracks = artist1_tracks + artist2_tracks
+
+            col1, col2 = st.columns(2)
+            with col1:
+                st.image(artist1_info['image'], caption=artist1_info['name'])
+                st.markdown(f"**Nome:** {artist1_info['name']}")
+                st.markdown(f"**Follower:** {artist1_info['followers']:,}")
+                st.markdown(f"**Popolarità:** {artist1_info['popularity']}")
+                st.markdown(f"**Generi:** {', '.join(artist1_info['genres'])}")
+            with col2:
+                st.image(artist2_info['image'], caption=artist2_info['name'])
+                st.markdown(f"**Nome:** {artist1_info['name']}")
+                st.markdown(f"**Follower:** {artist2_info['followers']:,}")
+                st.markdown(f"**Popolarità:** {artist2_info['popularity']}")
+                st.markdown(f"**Generi:** {', '.join(artist2_info['genres'])}")
+            show_average_features(data_tracks)
+            plot_features_comparison(data_tracks, artist1_info, artist2_info)
+            plot_audio_features_boxplot(data_tracks, artist1_info['name'], artist1_info['name'])
+            plot_audio_features_violinplot(data_tracks, artist1_info['name'], artist1_info['name'])
+            
+        else:
+            st.error("Per favore inserisci i nomi di entrambi gli artisti.")
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+spotipy