AI YouTube FOMO Utility

TLDR;

give this script a link to a YouTube video, and it will ask ChatGPT for detailed summary of the video. Saving you the time of actually watching it.

Steps Completed so Far:

1. recieve link to youtube video.
2. download youtube video audio.
3. transcribe audio file through OpenAI library API call.
4. send a prompt to ChatGPT with transcription of content.
5. Create a new repo and a read-me with a video that explains how it works.
6. getting an error while using py-tube (only workarounds on StackOverflow)
   • switch the script from using pytube and use yt-dlp python lib instead.

Things to improve later on:

1. since the api key is being loaded in from password-store, I may have to enter the encryption key after time passes
   • made a .env file with my API key hard-coded
2. maybe add an ASCII moving loading screen while the API calls are happening?
   • some kind of fun animation
   • found a cool animation library and working on implementing for API calls, and yt-dlp.
   • added a tqdm progress bar for yt-dlp and openAI calls
3. create a chrome extension for this?
   • Youtube AI summarizer
4. or make a website that has a one-time payment for a license to use a web interface that stores their summaries, "watch" history, and all they need is a one-time payment of $50 (rate limit API calls and do cost analysis).
5. buy ShipFast as a template for releasing the SaaS. ($169 - $199)
6. have the option to give it a youtube playlist, and iterate the process of summarizing videos - maybe create a playlist mega-summary.

How to Use after Cloning Repo

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1. Create a virtual environment

python3 -m venv <insert-virtual-env-name-here>

2. Activate virtual environment

source <path-to-activate-file-in-project-dir>

3. Replace hard coded folder paths inside of main.py

• on lines: 10, 62, 107

• you may also need to create an audio directory to save your mp3 files if you want them.

4. Install dependencies & run main.py

pip install requirements.txt && python3 main.py