Display playlist page

.gitignore

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+.idea
+.secret
+__pycache__
+node_modules

LyricsFetcher/README.md

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+Credit to https://gist.github.com/mbejda/9912f7a366c62c1f296c for artiste names

LyricsFetcher/lyrics_processor.py

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+import pickle
+from typing import List
+from flair.models import TextClassifier
+from flair.data import Sentence
+import pandas as pd
+
+
+def get_data():
+    song_list = List[dict]
+    with open('songs.pkl', 'rb') as f:
+        song_list = pickle.load(f)
+    df = pd.DataFrame.from_records(song_list)
+    process_data(df)
+    return df
+
+def process_data(df):
+    scores = []
+    labels = []
+    textClassifier = TextClassifier.load('en-sentiment')
+    for lyric in df['lyrics']:
+        songLyrics = Sentence(lyric)
+        textClassifier.predict(songLyrics)
+        classified = songLyrics.labels[0]
+        scores.append(songLyrics.score)
+        if "POSITIVE" in str(classified):
+            labels.append("pos")
+        elif "NEGATIVE" in str(classified):
+            labels.append("neg")
+        else:
+            labels.append("neu")
+    final_df = pd.DataFrame({'score': scores, 'label': labels})
+    final_df = pd.concat([df, final_df], axis=1)
+
+    print(final_df)
+
+
+
+dataset = get_data()

LyricsFetcher/song_fetcher.py

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+from lyricsgenius.artist import Artist
+from requests.exceptions import HTTPError, Timeout
+from lyricsgenius import Genius
+import pickle
+import csv
+
+TOKEN = "<TOKEN>"
+TOTAL_ARTISTES = 10 # must be less than 3k
+
+def process_lyrics(lyrics):
+    lyrics_stored = lyrics.split("\n")
+    lyrics = ""
+    for line in lyrics_stored:
+        if "[" in line and "]" in line:
+            continue
+        else:
+            lyrics+= (line.lower()+". ")
+    return lyrics
+
+
+def get_music_by_artiste(artiste, song_count = 10):
+    song_list = []
+    try:
+        genius = Genius(TOKEN, retries=3)
+        songs = genius.search_artist(artiste, sort="popularity", max_songs=song_count)
+        if songs is None:
+            return []
+
+        for song in songs.songs:
+            song_list.append({
+                "artiste": artiste,
+                "title": song.full_title,
+                "thumbnail": song.song_art_image_url,
+                "lyrics": process_lyrics(song.lyrics)
+            })
+    except HTTPError as e:
+        print(e.errno)  # status code
+        print(e.args[0])  # status code
+        print(e.args[1])  # error message
+    except Timeout:
+        pass
+    finally:
+        return song_list
+
+def main():
+    all_songs = []
+    with open('10000-MTV-Music-Artists-page-1.csv') as csv_file:
+        csv_reader = csv.reader(csv_file, delimiter=',')
+        line_count = 0
+        for row in csv_reader:
+            if line_count == TOTAL_ARTISTES:
+                break
+            if line_count != 0:
+                print("Getting ", row[0])
+                songs_from_artiste = get_music_by_artiste(row[0])
+                all_songs = all_songs + songs_from_artiste
+            line_count += 1
+        print(f'Processed {line_count} lines.')
+
+    with open('songs.pkl', 'wb') as f:
+        pickle.dump(all_songs, f)
+
+if __name__ == '__main__':
+    main()

README.md

@@ -1,3 +1,95 @@
-# CourseProject
+# The Mood Playlist Generator
 
-Please fork this repository and paste the github link of your fork on Microsoft CMT. Detailed instructions are on Coursera under Week 1: Course Project Overview/Week 9 Activities.
+To install:
+1. `cd app`
+2.  `pip install -r requirements.txt` 
+3. `npm install`
+
+To run the application:
+1. `cd app`
+2. `npm start`
+
+#### Backend Initiatization
+1. `cd app`
+2. install stuff `pip install -r requirements.txt`
+3. Run `uvicorn RocketBE.main:app --reload`
+4. go to `http://127.0.0.1:8000/docs`
+
+`POST: URL http://127.0.0.1:8000/get_mood_songs`
+
+Sample Request/Body
+```
+{
+  "phrase": "string"
+}
+```
+
+Sample Response
+```
+{
+  "sentiment": "excited",
+  "score": 0.99,
+  "playlist": [
+    {
+      "artiste": " One Direction ",
+      "title": "If I Could Fly by One Direction",
+      "thumbnail": "https://images.genius.com/d1815a034dd35663795e483d8a62ea5f.1000x1000x1.jpg",
+      "link": "https://twitter.com/elon"
+    },
+    {
+      "artiste": " Draaco Aventura ",
+      "title": "Insaciable by Draaco Aventura",
+      "thumbnail": "https://images.genius.com/0bfc284e0c63e81511b883bfa4ab2c9b.1000x1000x1.jpg",
+      "link": "https://twitter.com/elon"
+    },
+    {
+      "artiste": " One Direction ",
+      "title": "Night Changes by One Direction",
+      "thumbnail": "https://images.rapgenius.com/a8c066965cd804df56261afe172cce2b.1000x1000x1.jpg",
+      "link": "https://twitter.com/elon"
+    },
+    {
+      "artiste": " Drake ",
+      "title": "Hold On, We're Going Home by Drake (Ft. Majid Jordan)",
+      "thumbnail": "https://images.rapgenius.com/f545371242592e32983526102bd7b01d.600x600x1.jpg",
+      "link": "https://twitter.com/elon"
+    },
+    {
+      "artiste": " Carrie Underwood ",
+      "title": "Jesus, Take the Wheel by Carrie Underwood",
+      "thumbnail": "https://images.genius.com/6da12b47f7f56625a73187f3ab93d562.1000x1000x1.jpg",
+      "link": "https://twitter.com/elon"
+    },
+    {
+      "artiste": " Drake ",
+      "title": "From Time by Drake (Ft. Jhené Aiko)",
+      "thumbnail": "https://images.genius.com/6d70f1e6d38e9af4ddb7b3582a40dab8.1000x1000x1.jpg",
+      "link": "https://twitter.com/elon"
+    },
+    {
+      "artiste": " One Direction ",
+      "title": "Story of My Life by One Direction",
+      "thumbnail": "https://images.rapgenius.com/87839ab693a21fe86fbb9d2812748705.960x960x1.png",
+      "link": "https://twitter.com/elon"
+    },
+    {
+      "artiste": " Drake ",
+      "title": "Hotline Bling by Drake",
+      "thumbnail": "https://images.genius.com/f3be0158d3a067a81b075686a3a2e63d.1000x1000x1.png",
+      "link": "https://twitter.com/elon"
+    },
+    {
+      "artiste": " Joey + Rory ",
+      "title": "I Need Thee Every Hour by Joey + Rory",
+      "thumbnail": "https://images.genius.com/696da21338fdf225eb42457082f4760a.1000x1000x1.jpg",
+      "link": "https://twitter.com/elon"
+    },
+    {
+      "artiste": " One Direction ",
+      "title": "Drag Me Down by One Direction",
+      "thumbnail": "https://images.rapgenius.com/81f934585e8735158bab36d3cf5d9520.1000x1000x1.jpg",
+      "link": "https://twitter.com/elon"
+    }
+  ]
+}
+```

app/.env

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+REACT_APP_SPOTIFY_API_KEY=e60371614a224640b59c0ac21bd5a616
+DANGEROUSLY_DISABLE_HOST_CHECK=true

app/.gitignore

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+# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
+
+# dependencies
+/node_modules
+/**/*/node_modules
+/.pnp
+.pnp.js
+
+# testing
+/coverage
+
+# production
+/build
+
+# misc
+.DS_Store
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*

app/README.md

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+# Getting Started with Create React App
+
+This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app).
+
+## Available Scripts
+
+In the project directory, you can run:
+
+### `npm start`
+
+Runs the app in the development mode.\
+Open [http://localhost:3000](http://localhost:3000) to view it in your browser.
+
+The page will reload when you make changes.\
+You may also see any lint errors in the console.
+
+### `npm test`
+
+Launches the test runner in the interactive watch mode.\
+See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information.
+
+### `npm run build`
+
+Builds the app for production to the `build` folder.\
+It correctly bundles React in production mode and optimizes the build for the best performance.
+
+The build is minified and the filenames include the hashes.\
+Your app is ready to be deployed!
+
+See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information.
+
+### `npm run eject`
+
+**Note: this is a one-way operation. Once you `eject`, you can't go back!**
+
+If you aren't satisfied with the build tool and configuration choices, you can `eject` at any time. This command will remove the single build dependency from your project.
+
+Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except `eject` will still work, but they will point to the copied scripts so you can tweak them. At this point you're on your own.
+
+You don't have to ever use `eject`. The curated feature set is suitable for small and middle deployments, and you shouldn't feel obligated to use this feature. However we understand that this tool wouldn't be useful if you couldn't customize it when you are ready for it.
+
+## Learn More
+
+You can learn more in the [Create React App documentation](https://facebook.github.io/create-react-app/docs/getting-started).
+
+To learn React, check out the [React documentation](https://reactjs.org/).
+
+### Code Splitting
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/code-splitting](https://facebook.github.io/create-react-app/docs/code-splitting)
+
+### Analyzing the Bundle Size
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size](https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size)
+
+### Making a Progressive Web App
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app](https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app)
+
+### Advanced Configuration
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/advanced-configuration](https://facebook.github.io/create-react-app/docs/advanced-configuration)
+
+### Deployment
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/deployment](https://facebook.github.io/create-react-app/docs/deployment)
+
+### `npm run build` fails to minify
+
+This section has moved here: [https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify](https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify)

app/RocketBE/Model/request_model.py

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+from typing import List
+from pydantic import BaseModel
+
+class Song(BaseModel):
+    artiste: str
+    title: str
+    thumbnail: str
+    link: str
+
+
+class MoodRequest(BaseModel):
+    phrase: str
+
+class MoodRespond(BaseModel):
+    sentiment: str
+    playlist: List[Song]

app/RocketBE/SongProcessor/flair_processor.py

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+
+import random
+from typing import List, Tuple
+from RocketBE.Model.request_model import Song
+from RocketBE.SongProcessor.processor import SongProcessor
+
+
+class FlairSentimentAnalyzer(SongProcessor):
+
+    def __init__(self) -> None:
+        super().__init__()
+        self.process_data()
+
+    def process_input(self, user_mood) -> Tuple[List[Song], str]:
+        random_ten_items = random.sample(super().get_data(), 10)
+        result: List[Song] = []
+        for song in random_ten_items:
+            result.append(
+                    Song(
+                        artiste=   song["artiste"],
+                        title=   song["title"],
+                        link = "https://twitter.com/elon",
+                        thumbnail = song["thumbnail"]
+                    )
+            )
+
+        return result, "excited"
+
+        # return [
+        #     Song(
+        #         artiste= "Ed Sheeran",
+        #         title= "A Team",
+        #         link = "some url",
+        #         thumbnail = "https://w7.pngwing.com/pngs/700/182/png-transparent-ed-sheeran-divide-musician-shape-of-you-others-miscellaneous-tshirt-microphone-thumbnail.png"
+        #     ),
+        #     Song(
+        #         artiste= "Selena Gomez",
+        #         title= "Rare",
+        #         link = "some url",
+        #         thumbnail = "https://integralatampost.s3.amazonaws.com/uploads/article/picture/20581/2020-01-16_16_092020-01-16_16_0920200118_Todo-sobre-el-nuevo-%C3%A1lbum-de-Selena-G%C3%B3mez_-Rare.jpg",
+        #     )
+        # ]
+
+
+    def process_data(self) -> None:
+        data: List[dict] = super().get_data()
+        random_ten_items = random.sample(data, 10)
+