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Update app.py
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app.py
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import gradio as gr
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import pandas as pd
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from io import BytesIO
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#
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#
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buffer = BytesIO()
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df.to_csv(buffer, index=False)
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buffer.seek(0)
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return df, ("output.csv", buffer.getvalue())
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iface = gr.Interface(
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fn=
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inputs=gr.Textbox(label="
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outputs=
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],
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title="Download Test",
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description="Type text to generate a table and download it as CSV (in memory)."
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)
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if __name__ == '__main__':
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iface.launch()
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import gradio as gr
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import requests
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import pandas as pd
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from io import BytesIO
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import os
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# Configurar tus credenciales de Spotify en variables de entorno
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# SPOTIFY_CLIENT_IDS="id1,id2"
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# SPOTIFY_CLIENT_SECRETS="secret1,secret2"
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client_ids = os.getenv("SPOTIFY_CLIENT_IDS", "").split(',')
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client_secrets = os.getenv("SPOTIFY_CLIENT_SECRETS", "").split(',')
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if not client_ids or not client_secrets:
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raise ValueError("Faltan SPOTIFY_CLIENT_IDS o SPOTIFY_CLIENT_SECRETS en entorno")
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current_idx = 0
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req_count = 0
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MAX_REQ = 95
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def rotate_client():
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global current_idx, req_count
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current_idx = (current_idx + 1) % len(client_ids)
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req_count = 0
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def get_token():
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global current_idx
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for _ in client_ids:
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cid = client_ids[current_idx]
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csec = client_secrets[current_idx]
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r = requests.post(
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"https://accounts.spotify.com/api/token",
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data={"grant_type": "client_credentials"},
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auth=(cid, csec)
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)
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if r.status_code == 200:
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return r.json()["access_token"]
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rotate_client()
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raise RuntimeError("No se pudo obtener token")
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def make_request(url, params=None):
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global req_count
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token = get_token()
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headers = {"Authorization": f"Bearer {token}"}
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for _ in range(3):
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r = requests.get(url, headers=headers, params=params)
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req_count += 1
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if r.status_code == 429:
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rotate_client()
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continue
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if r.status_code == 200:
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if req_count >= MAX_REQ:
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rotate_client()
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return r.json()
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return None
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def extract_id(u, kind):
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u = u.split('?')[0].rstrip('/')
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parts = u.split('/')
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if kind in parts:
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return parts[parts.index(kind) + 1]
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return None
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def fetch_playlist(playlist_url):
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pl_id = extract_id(playlist_url, 'playlist')
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url = f'https://api.spotify.com/v1/playlists/{pl_id}/tracks'
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params = {'limit':100}
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tracks = []
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while url:
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data = make_request(url, params)
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if not data: break
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for item in data.get('items', []):
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t = item.get('track')
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if t:
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tracks.append({
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'Artist': t['artists'][0]['name'],
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'Title': t['name'],
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'ISRC': t.get('external_ids', {}).get('isrc',''),
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'URL': t.get('external_urls', {}).get('spotify',''),
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'URI': t.get('uri'),
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'Genre': ", ".join(make_request(f"https://api.spotify.com/v1/artists/{t['artists'][0]['id']}").get('genres',[]))
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})
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url = data.get('next')
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return pd.DataFrame(tracks)
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def export_csv(playlist_url):
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df = fetch_playlist(playlist_url)
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buffer = BytesIO()
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df.to_csv(buffer, index=False, encoding='utf-8')
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buffer.seek(0)
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return (buffer, 'playlist.csv', 'text/csv')
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iface = gr.Interface(
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fn=export_csv,
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inputs=gr.Textbox(label="URL de playlist"),
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outputs=gr.File(label="Descargar CSV"),
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title="🔻 Descarga CSV de Playlist Spotify",
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description="Introduce la URL de una playlist pública y descarga un CSV con Artist, Title, ISRC, URL, URI y Genre."
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)
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if __name__ == '__main__':
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iface.launch(server_name='0.0.0.0', server_port=7860)
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