https://github.com/sb-haz/twitter-wrapped
Brings the Spotify Wrapped concept to Twitter.
https://github.com/sb-haz/twitter-wrapped
pillow python sentiment-analysis streaming-data tweepy twitter twitterapi twitterbot
Last synced: 5 months ago
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Brings the Spotify Wrapped concept to Twitter.
- Host: GitHub
- URL: https://github.com/sb-haz/twitter-wrapped
- Owner: sb-haz
- Created: 2021-12-02T03:36:09.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-01-17T06:38:49.000Z (about 3 years ago)
- Last Synced: 2024-08-08T00:43:50.011Z (8 months ago)
- Topics: pillow, python, sentiment-analysis, streaming-data, tweepy, twitter, twitterapi, twitterbot
- Language: Python
- Homepage: https://twitter.com/tweetwrapped
- Size: 6.77 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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- project-awesome - sb-haz/twitter-wrapped - Brings the Spotify Wrapped concept to Twitter. (Python)
README
# Twitter Wrapped Bot
This project brings the popular [Spotify Wrapped](https://newsroom.spotify.com/2021-12-01/the-wait-is-over-your-spotify-2021-wrapped-is-here/) concept to Twitter.
Two main files used in this project:
- `stream_mentions.py`
This file is responsible for authenticating with the Twitter API and streaming real-time bot mentions.
- `generate_image.py`
This file is used to generate visuals that include the user's statistics.
# Live Demo
You can find the bot on Twitter running this code on [Twitter.com/TweetWrapped](https://www.twitter.com/tweetwrapped).
The account now has more than 100,000 followers!
# Statistics Generated
- Most liked tweet.
- Most retweeted tweet.
- Most quoted tweet.
- Word-Cloud of frequently used words in tweets.
- The number of tweets that have received more than 100, 500, 1,000, or 10,000 likes.
- Sentiment analysis of tweets.
# Example
# How To Run
1. Clone this repository
2. Apply for a Twitter Developer account
3. Create a new file `twitter_credentials.py`
4. Add your authentication tokens
```
bearer_token = "XXXXXX"
consumer_key = "XXXXXX"
consumer_secret = "XXXXXX"
access_token = "XXXXXX"
access_token_secret = "XXXXXX"
```
5. Run `stream_mentions.py`
# Optional
The following folders/files can be deleted without affecting the program's functionality:
- `old/python_api_calls`
- `old/alternative_to_streaming.py`
- `old/file_queue_test.py`
- `old/queue_test.txt`
- `old/two_image_format.py`
You can also choose not to stream mentions live and instead create wrapped images for a single user. To do so, follow these steps:
1. Open `generate_image.py`.
2. Scroll down to the bottom of the page and paste the code below:
```
if __name__ == "__main__":
main(sys.argv[1])
```
3. Replace USERNAME with your Twitter username and run the following command in terminal:
`python .\generate_image.py USERNAME`