tarsbase/podbeetle

A simple Python Flask app to search for keywords in your favourite podcasts. -

podbeetle

A simple website to search for keywords in your favourite podcasts. - http://www.podbeetle.com

Install

The web app is using the Python Flask framework for the website and the Deepgram API for the audio file transcription.

Requirements

Install all the requirements with:

pip install -r requirements.txt

You will need to have a Deepgram API account in order to be able to upload/index/transcribe audio files to their API.

Set the API key as an enviroment variable:

export DEEPGRAM_API_KEY=<api-key>

Database

This implementation is using a PostgreSQL database. You can install it from the website or you can use the official Docker image instead.

Alternatively, you can edit the database.py file and update the database engine to the one you'd like to use.

After installing and starting the database, set the following enviroment variables:

export DB_USER=<database-user>
export DB_PASS=<database-password>
export DB_HOST=<database-host>
export DB_PORT=<database-port>
export DB_NAME=<database-name>

Run the following script to initialize the database based on the models defined in models.py file:

python scripts.py init_db

Once the database is initialized then you can populate it with some data by running:

python scripts.py populate_db

Uploading files to Deepgram

After populating the database, run the following script to upload/index/trasncribe the audio files with the Deepgram API.

python scripts.py deepgram_upload

After this step is complete you'll be able to run the app and search for keywords in these podcasts.

Run the app

To run the app: python application.py

Contributing

Pull requests are welcome! 💪

Issues

To submit any issues, raise an issue through the Issues Page

License

MIT