Update app.py

app.py

@@ -19,6 +19,7 @@ client_utils.get_type = patched_get_type
 # ————————————————————————————————
 
 import gradio as gr
+from io import BytesIO
 
 # Configuración Spotify (Client Credentials)
 CLIENT_ID     = os.getenv("SPOTIFY_CLIENT_IDS", "").split(',')[0]
@@ -91,17 +92,25 @@ def fetch_playlist_table(url):
     df = pd.DataFrame(records)
     return df
 
-# Función principal: retorna DataFrame para mostrar en tabla
+# Función principal: retorna DataFrame y CSV en memoria
 def main(url):
-    return fetch_playlist_table(url)
-
-# Interfaz Gradio: sólo DataFrame
+    df = fetch_playlist_table(url)
+    # Convertir DataFrame a CSV en memoria
+    csv_buffer = BytesIO()
+    df.to_csv(csv_buffer, index=False)
+    csv_bytes = csv_buffer.getvalue()
+    return df, ('playlist.csv', csv_bytes)
+
+# Interfaz Gradio con gr.Download
 iface = gr.Interface(
     fn=main,
     inputs=gr.Textbox(label="URL de playlist", placeholder="https://open.spotify.com/playlist/..."),
-    outputs=gr.Dataframe(headers=['Artist','Title','ISRC','URL','URI','Genres'], label="Tabla de Playlist Spotify"),
+    outputs=[
+        gr.Dataframe(headers=['Artist','Title','ISRC','URL','URI','Genres'], label="Tabla de Playlist Spotify"),
+        gr.Download(label="Descargar CSV")
+    ],
     title="🎵 Tabla de Playlist Spotify",
-    description="Trae Artist, Title, ISRC, URL, URI y Géneros de cada track"
+    description="Trae Artist, Title, ISRC, URL, URI y Géneros de cada track y permite descargar CSV sin usar disco"
 )
 
 if __name__ == '__main__':