Airtable Video Recommendations

The Airtable Video Recommendations app collects YouTube channel stats, identifies best-performing videos, and uses OpenAI to generate video title recommendations based on the best-performing titles.

Table of Contents

• Setup

• Dependencies

• Modules Overview

• best_performing_videos.py

• recommendations.py

• yt_channel_stats.py

• main.py

• Execution

Setup

1. Clone the repository.

2. Set up environment variables in a .env file in the root directory. See .env.example for more information.

3. Install the necessary packages using pip install -r requirements.txt.

Dependencies

• google_api_python_client: Google API client library.

• isodate: Date-time utilities.

• openai: OpenAI GPT-3 API client library.

• pyairtable: Airtable Python client.

• python-dotenv: Python dotenv library.

Modules Overview

-best_performing_videos.py

Identifies and stores the best-performing videos from a given YouTube channel into Airtable.

Class BestPerformingVideos:

• generate(): Collects the best-performing videos for all channels in the Airtable and updates the respective records.

-recommendations.py

Generates video title recommendations using OpenAI based on the best-performing titles.

Class Recommendations:

• generate(): Retrieves the best-performing video titles from Airtable and uses OpenAI to generate new video title recommendations.

-yt_channel_stats.py

Collects and updates YouTube channel stats in Airtable.

Class YTChannelStats:

• generate(): Collects statistics for YouTube channels listed in the Airtable and updates the respective records.

-main.py

Main execution script which combines the functionalities of other modules to provide the complete workflow.

Execution

1. Execute main.py to start the process.

2. The script will update YouTube channel stats in the Airtable, identify best-performing videos, and generate new video title recommendations.

License

MIT License