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https://github.com/slevin48/music

Music App based on Spotify API and Streamlit framework
https://github.com/slevin48/music
boto3 python spotipy streamlit
Last synced: 3 months ago
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Music App based on Spotify API and Streamlit framework
Host: GitHub
URL: https://github.com/slevin48/music
Owner: slevin48
License: mit
Created: 2020-10-31T18:27:21.000Z (about 4 years ago)
Default Branch: main
Last Pushed: 2022-12-12T01:20:27.000Z (about 2 years ago)
Last Synced: 2023-03-05T14:13:36.737Z (almost 2 years ago)
Topics: boto3, python, spotipy, streamlit
Language: Jupyter Notebook
Homepage:
Size: 5.27 MB
Stars: 8
Watchers: 2
Forks: 2
Open Issues: 6
Metadata Files:
- Readme: README.md
- License: LICENSE
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README

        # Music 48 🎵[![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/slevin48/music/main/code/streamlit_app.py)

![sergent-pepper](img/25yQPHgC35WNnnOUqFhgVR.jpg)

Started out as a Spotify music recommendation app

***NEW***: Added features from [music-generator](https://github.com/slevin48/music-generator) 🎹

**Content:**

1. [Parse Streaming History](#parse)

2. [Music Taste Analysis](#taste)

3. [Get Recommendation](#reco)

4. [Spotify API](#api)

## 1. Parse Streaming History

Streaming history can be retrieved from the Spotify profile as JSON, or through the spotipy functions [current_user_recently_played](https://spotipy.readthedocs.io/en/2.16.1/?highlight=current_user_recently_played#spotipy.client.Spotify.current_user_recently_played) or [current_user_saved_tracks](https://spotipy.readthedocs.io/en/2.16.1/?highlight=current_user_saved_tracks#spotipy.client.Spotify.current_user_saved_tracks)

```python

with open("recently_played_20210306.json","r") as f:

    results = json.load(f)

tracks = []

for idx, item in enumerate(results['items']):

    track = item['track']

    tracks.append([idx, track['artists'][0]['name'], track['name']])

trackDict = {"id":[], "artist":[],"name":[]}

for idx, item in enumerate(results['items']):

    track = item['track']

    trackDict["id"].append(idx)

    trackDict["artist"].append(track['artists'][0]['name'])

    trackDict["name"].append(track['name'])

    

import pandas as pd

trackDf = pd.DataFrame.from_dict(trackDict)

```

## 2. Music Taste Analysis

Analysis of features to produce a polar plot

![feature-plot](spotifyData/features.svg)

```python

import spotifyAPI

from secret import clientId,clientSecret

token  = spotifyAPI.get_token(clientId,clientSecret)

lucy_id = spotifyAPI.get_track_id2('Lucy in the Sky', token, artist = 'The Beatles')

url = "https://open.spotify.com/track/"+lucy_id

import webbrowser

webbrowser.open(url)

import pandas as pd

lucy_features = spotifyAPI.get_features(lucy_id,token)

df = pd.DataFrame(lucy_features, index=[0])

df_features = df.loc[: ,['acousticness', 'danceability', 'energy', 'instrumentalness', 'liveness', 'speechiness', 'valence']]

spotifyAPI.feature_plot(df_features)

```

## 3. Get Recommendation

```python

json_response = spotifyAPI.get_track_reco(lucy_id,token)

uris =[]

for i in json_response['tracks']:

            uris.append(i)

            print(f"\"{i['name']}\" by {i['artists'][0]['name']}")

```

## 4. Spotify API

This notebook leverages the Spotipy module to access the Spotify API:

https://spotipy.readthedocs.io/

* [Basic auth](code/basicMusic.ipynb)

  * Search & Get track

  * Get features

  * Get recommendations

* Spotipy auth

  * Artist albums

  * Artist top tracks

  * Advanced Search ([help](https://spotipy.readthedocs.io/en/2.16.1/#spotipy.client.Spotify.search))

  * Current user

* Access Scopes (detailed later)

  * Saved Tracks

  * Saved Albums ([doc](https://developer.spotify.com/console/get-current-user-saved-albums))

  * Playlist ([doc](https://developer.spotify.com/console/get-current-user-playlists/))

  * Recently played ([doc](https://developer.spotify.com/console/get-recently-played/))

  )

  * Advanced recommendations based on seeds ([doc](https://developer.spotify.com/console/get-recommendations/))

![spotifyNoneUserData](img/spotifyNonUserData.png)

### Scopes

* Images

  * [ugc-image-upload](https://developer.spotify.com/documentation/general/guides/scopes/#ugc-image-upload)

* Spotify Connect

  * [user-read-playback-state](https://developer.spotify.com/documentation/general/guides/scopes/#user-read-playback-state)

  * [user-modify-playback-state](https://developer.spotify.com/documentation/general/guides/scopes/#user-modify-playback-state)

  * [user-read-currently-playing](https://developer.spotify.com/documentation/general/guides/scopes/#user-read-currently-playing)

* Playback

  * [streaming](https://developer.spotify.com/documentation/general/guides/scopes/#streaming)

  * [app-remote-control](https://developer.spotify.com/documentation/general/guides/scopes/#app-remote-control)

* Users

  * [user-read-email](https://developer.spotify.com/documentation/general/guides/scopes/#user-read-email)

  * [user-read-private](https://developer.spotify.com/documentation/general/guides/scopes/#user-read-private)

* Playlists

  * [playlist-read-collaborative](https://developer.spotify.com/documentation/general/guides/scopes/#playlist-read-collaborative)

  * [playlist-modify-public](https://developer.spotify.com/documentation/general/guides/scopes/#playlist-modify-public)

  * [playlist-read-private](https://developer.spotify.com/documentation/general/guides/scopes/#playlist-read-private)

  * [playlist-modify-private](https://developer.spotify.com/documentation/general/guides/scopes/#playlist-modify-private)

* Library

  * [user-library-modify](https://developer.spotify.com/documentation/general/guides/scopes/#user-library-modify)

  * [user-library-read](https://developer.spotify.com/documentation/general/guides/scopes/#user-library-read)

* Listening History

  * [user-top-read](https://developer.spotify.com/documentation/general/guides/scopes/#user-top-read)

  * [user-read-playback-position](https://developer.spotify.com/documentation/general/guides/scopes/#user-read-playback-position)

  * [user-read-recently-played](https://developer.spotify.com/documentation/general/guides/scopes/#user-read-recently-played)

* Follow

  * [user-follow-read](https://developer.spotify.com/documentation/general/guides/scopes/#user-follow-read)

  * [user-follow-modify](https://developer.spotify.com/documentation/general/guides/scopes/#user-follow-modify)

## Resources

* https://dev.to/mxdws/using-python-with-the-spotify-api-1d02

* https://medium.com/python-in-plain-english/music-recommendation-system-for-djs-d253d472677e

* https://github.com/tgel0/spotify-data

* https://towardsdatascience.com/a-visual-look-at-my-taste-in-music-a8c197a728be

* https://medium.com/@maxtingle/getting-started-with-spotifys-api-spotipy-197c3dc6353b

* https://towardsdatascience.com/a-music-taste-analysis-using-spotify-api-and-python-e52d186db5fc

* https://github.com/jmcabreira/A-Music-Taste-Analysis-Using-Spotify-API-and-Python.

* https://medium.com/analytics-vidhya/build-your-own-playlist-generator-with-spotifys-api-in-python-ceb883938ce4

* https://towardsdatascience.com/get-your-spotify-streaming-history-with-python-d5a208bbcbd3

* https://towardsdatascience.com/how-to-utilize-spotifys-api-and-create-a-user-interface-in-streamlit-5d8820db95d5

* https://developer.spotify.com/community/showcase/spotify-audio-analysis/

* https://medium.com/deep-learning-turkey/build-your-own-spotify-playlist-of-best-playlist-recommendations-fc9ebe92826a

* https://www.theverge.com/platform/amp/tldr/2018/2/5/16974194/spotify-recommendation-algorithm-playlist-hack-nelson

* http://sortyourmusic.playlistmachinery.com/

* https://towardsdatascience.com/k-means-clustering-and-pca-to-categorize-music-by-similar-audio-features-df09c93e8b64

* https://towardsdatascience.com/interactive-machine-learning-and-data-visualization-with-streamlit-7108c5032144

* http://druckhaus-hofmann.de/gallery/36-wj-june-2020.pdf

* https://medium.com/swlh/music-genre-classification-using-transfer-learning-pytorch-ea1c23e36eb8

* https://towardsdatascience.com/music-genre-classification-with-tensorflow-3de38f0d4dbb

* https://towardsdatascience.com/machine-learning-and-recommender-systems-using-your-own-spotify-data-4918d80632e3

* https://github.com/anthonyli358/spotify-recommender-systems/blob/main/recommender_playlists.ipynb