The application finds songs with the similar sound based on data such as energy mood rate, etc. Application use a simple neural network and the Spotify API. It was built on the FastAPI framework.
Application is licensed under the MIT License.
git clone https://github.com/0lch4/Application_for_music_recommendation.git
You have to use poetry to install liblaries:
pip install poetry
In next step enter in main project location:
poetry install
Finally, activate your environment:
poetry shell
You have to create .env like .env.example
Spotify id and Spotify secret you can get here
When all dependencies are met, enter in the main location:
uvicorn app.main:app --reload
Application is avilable on:
http://localhost:8000/
For build container enter in main location:
docker build -t app .
In the next step enter in main location:
docker run -d --name app -p 3000:3000 --env-file .env app
Application is avilable on:
http://localhost:3000/
