twitch-highlights 0.0.1

An OS-independent and easy-to-use module for creating highlight videos from trending Twitch clips. Twitch highlight videos can be created by either specifying a category or a list of streamer names.

twitch-highlights

An OS-independent and easy-to-use module for creating highlight videos from trending Twitch clips. Twitch highlight videos can be created by either specifying a category or a list of streamer names.

Getting started

Installing

pip install twitch-highlights

Import

import twitch_highlights

Examples

TwitchHighlights

The class used to interact with the Twitch API and collect trending clips. By passing twitch_credentials directly to the constructor, the login_twitch function is called automatically.

highlight_generator = TwitchHighlights({
   "client_id": "1at6pyf0lvjk48san9j7fjak6hue2i",
   "client_secret": "5i2c7weuz1qmvtahrok6agi7nbqo7d"
})

Arguments:

• twitch_credentials: (optional) Dictionary storing the client_id and client_sectet keys.

login_twitch

Performs the proper authentication steps using Twitch's OAuth procedure to get access to its API. This method must be called before any other methods on the TwitchHighlights object are called.

highlight_generator = TwitchHighlights()
twitch_credentials = {
   "client_id": "1at6pyf0lvjk48san9j7fjak6hue2i",
   "client_secret": "5i2c7weuz1qmvtahrok6agi7nbqo7d"
}
highlight_generator.login(twitch_credentials)

Arguments:

• twitch_credentials: Dictionary storing the client_id and client_sectet keys.

make_video_by_category

Creates a highlight video consisting of trending clip from the provided category in the current directory.

highlight_generator.make_video_by_category(category = "Just Chatting", language = "en", video_length = 500)

Arguments:

• category: Name of the category from which the clips are gathered (case-insensitive).
• output_name: Name of the generated output mp4 file. Defaults to "output_video".
• language: Preferred language of the clips to be included in the video. Note that the clip's language tag might not actually match the language spoken in the clip. Defaults to None, which means that no clips are removed.
• video_length: Minimum length of the video to be created in seconds. Clips are added to the combined video until this length is reached. Defaults to 300.
• started_at: Starting date/time for included clips as a datetime object in the UTC standard. Defaults to exactly one day before the time at which the method is called.
• ended_at: Ending date/time for included clips as a datetime object in the UTC standard. Defaults to the time at which the method is called.
• target_resolution: Tuple containing (desired_height, desired_width) to which the resolution is resized. Defaults to (1080, 1920)

make_video_by_streamer

Creates a highlight video consisting of trending clip from the provided category in the current directory.

highlight_generator.make_video_by_streamer(streamers = ["Ninja", "Myth]")

Arguments:

• streamers: List of streamer names to gather clips from.
• output_name: Name of the generated output mp4 file. Defaults to "output_video".
• language: Preferred language of the clips to be included in the video. Note that the clip's language tag might not actually match the language spoken in the clip. Defaults to None, which means that no clips are removed.
• video_length: Minimum length of the video to be created in seconds. Clips are added to the combined video until this length is reached. Defaults to 300.
• started_at: Starting date/time for included clips as a datetime object in the UTC standard. Defaults to exactly one day before the time at which the method is called.
• ended_at: Ending date/time for included clips as a datetime object in the UTC standard. Defaults to the time at which the method is called.
• target_resolution: Tuple containing (desired_height, desired_width) to which the resolution is resized. Defaults to (1080, 1920)

get_top_categories

Returns a list of the names of the most trending categories on Twitch at that moment.

highlight_generator.get_top_categories(5)

Arguments:

• amount: Maximum number of categories to return. Maximum: 100. Defaults to 20.

License

Apache-2.0

Contributing

So far, I have been the only one who has worked on the project and it would be great if I could get an extra pair of hands. Feel free to contact me if you have any great ideas and would like contribute to this project. New features I'm currently working on are:

• Copyright music detection
• Adding an intro/outro to the generated video
• Uploading the created video directly to YouTube
• An extra ordering feature in which the user can specify a specific ordering of clips (by number of views, chronological order, etc)