Install

Step 1: Run docker compose

docker compose up -d

Create an .env file in environments/{DIRS} before running Docker. environment/{DIRS} has examples like .env.example

Step 2: Install pip packages

pip install -r requirements.txt

Step 3: Load fixtures data

python manage.py loaddata users
python manage.py loaddata helpers
python manage.py loaddata categries
python manage.py loaddata content

Step 4: Load post data

python manage.py load_yozing

Optional: Remove post data

python manage.py remove_yozing

Generating Tags and Categories with ChatGPT-3.5

Description

This project utilizes ChatGPT-3.5 to generate tags and categories for various content.

Yozing Data

For the training data, you can use the dataset available on Kaggle: Kun Uz Yangiliklar. This dataset can be employed for Yozing (content generation) tasks.

Dataset Information

• Name: Kun Uz Yangiliklar
• Provider: Airiteam
• Link: Kun Uz Yangiliklar Dataset

Feel free to explore the dataset and use it to enhance the capabilities of your ChatGPT-3.5 model for generating tags and categories.