medium_auto_publisher

This project converts YouTube videos into articles. It consists of three main scripts that are executed in the main.py file:

1. download.py: This script is responsible for downloading the YouTube videos. It uses the YouTube Data API to download the videos and extract the transcripts.

2. articles.py: This script generates articles and short descriptions from the downloaded YouTube transcripts. It uses Ollama with llama3 to generate the articles.

3. upload.py: This script uploads the generated articles to Medium. It uses the Medium API to publish the articles.

Setup

To set up the project, follow these steps:

1. Clone the repository:

   git clone https://github.com/AurelDeveloper/medium_auto_publisher.git
   cd medium_auto_publisher

2. Take a pull of Ollama docker image and run it:

   docker pull ollama/ollama
   docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama

3. To start or stop the Ollama docker image:

   docker start ollama
   docker stop ollama

4. Add the llama3 LLM model in Ollama:

   curl http://localhost:11434/api/pull -d '{"name": "llama3"}'

5. Create a virtual environment and activate it:

   python3 -m venv venv
   source venv/bin/activate

6. Install the required Python libraries:

   pip install -r requirements.txt

7. Copy the .env.example file to .env:

   cp .env.example .env

8. Open the .env file and replace the placeholders with your actual values.

Running the Project

To run the project, simply execute the main.py script:

python3 main.py