Update app.py

app.py

@@ -5,7 +5,6 @@ import time
 import shutil
 import numpy as np
 from tempfile import NamedTemporaryFile
-from sklearn.neighbors import NearestNeighbors
 from openpyxl import Workbook
 
 # Lista de credenciales de API de Spotify
@@ -93,24 +92,23 @@ def obtener_tracks_y_caracteristicas(token, url):
     return track_ids, audio_features
 
 def buscar_canciones_similares(token, audio_features, n_songs=10):
-    features_matrix = np.array([
-        [v['danceability'], v['energy'], v['tempo'], v['valence']] for v in audio_features.values()
-    ])
-    neighbors = NearestNeighbors(n_neighbors=n_songs, algorithm='ball_tree').fit(features_matrix)
-    distances, indices = neighbors.kneighbors(features_matrix)
-
-    similar_tracks = []
-    for idx_list in indices:
-        for idx in idx_list:
-            similar_tracks.append(list(audio_features.keys())[idx])
-    
-    # Eliminar duplicados
-    similar_tracks = list(set(similar_tracks))
-    
-    # Limitar a las n_songs canciones más similares
-    similar_tracks = similar_tracks[:n_songs]
+    headers = {'Authorization': f'Bearer {token}'}
+    seed_tracks = list(audio_features.keys())[:5]  # Spotify solo permite hasta 5 canciones semilla
 
-    return obtener_informacion_canciones(token, similar_tracks)
+    params = {
+        'seed_tracks': ','.join(seed_tracks),
+        'limit': n_songs
+    }
+
+    url = 'https://api.spotify.com/v1/recommendations'
+    response = hacer_request_con_reintento(url, headers, params=params)
+
+    if response:
+        recommended_tracks = response.json().get('tracks', [])
+        track_ids = [track['id'] for track in recommended_tracks]
+        return obtener_informacion_canciones(token, track_ids)
+    
+    return []
 
 def obtener_informacion_canciones(token, track_ids):
     tracks_info = []