This Django project manages GPT (Generative Pre-trained Transformer) instances through a single app called gpts. It provides APIs to interact with GPT models, allowing users to view, upvote, and add new models.
- Clone the repository:
git clone <repository_url>
cd <project_directory>- Install the required Python packages:
pip install -r requirements.txt- Run database migrations:
python manage.py migrate- Start the development server:
python manage.py runserverThe gpts app defines the following models:
- Owner: Represents the owner of a GPT instance.
- Tags: Represents tags associated with GPT instances.
- TimeSeriesPoint: Stores time-series data for upvotes and views.
- ActivitySummary: Represents the activity summary of a GPT instance.
- GPT: Represents a GPT instance with its associated metadata and activity summary.
The following views are available in the gpts app:
- get_models: Retrieves all GPT instances with their metadata.
- get_model_details: Retrieves details of a specific GPT instance.
- update_upvote: Increments the upvote count for a GPT instance.
- update_view: Increments the view count for a GPT instance.
- add_gpt_model: Adds a new GPT instance.
- get_all_tags: Retrieves all available tags.
- get_all_owners: Retrieves all owners.
The API endpoints for the gpts app are configured as follows:
/api/model: GET (get_models), POST (add_gpt_model)/api/model/<id>: GET (get_model_details), POST (update_upvote, update_view)/api/model/<id>/upvote: POST (update_upvote)/api/model/<id>/view: POST (update_view)/api/tags: GET (get_all_tags)/api/owners: GET (get_all_owners)