Vegan BioTech Report

Automated news and biotechnology report platform, generated by AI and built with Hugo.

🌐 Live Website: https://KarelTestSpecial.github.io/Vegan-BioTech-Report/

🚀 Features

• Automated Content Generation: Python pipeline fetches news, curates topics, and drafts newsletters and longreads.
• AI Image Generation: Integrated Gemini AI to generate cover images for articles.
• Multi-language: Generates content in English and Dutch.
• Status Management: Automated archiving of old content to keep the homepage fresh.

📂 Project Structure

• content/: Markdown content for Hugo (newsletters, longreads).
• pipeline/: Python scripts for the generation pipeline (run_pipeline.py, generate_images.py, manage_content.py).
• themes/ananke/: Hugo theme (submodule).
• static/images/: Generated images and assets.
• .github/workflows/: Automation workflows.

🛠️ Management Workflows

This project uses GitHub Actions for all management tasks. Go to the Actions tab to run them.

1. [AUTO] Generate Content & Deploy

The main pipeline. Fetches new data, generates text and images, creates a new site build, and deploys it. Runs automatically on schedule or manually.

2. [MANUAL] Run Pipeline Only

Runs the generation scripts to create new content in the repo, but does not deploy to the live site. Useful for reviewing content before publishing.

3. [MANUAL] Fill Missing Images Only

Scans all content files. If an article has no image, it generates one using Gemini and saves it to static/images. Does not change text content.

4. [MANUAL] Deploy Site Only

Rebuilds the Hugo site from the current main branch and deploys to GitHub Pages. Use this after manually editing content or fixing typos.

5. [UTIL] Manage Content Status

Tool to change the status of content files.

• Archive Live Content: Sets archived: true on current posts.
• Unarchive Latest: Brought back the last archived batch.
• Set Specific Files: toggles individual files.

6. [UTIL] View Content Status

Prints a report in the Action logs showing which files are LIVE and which are ARCHIVED.

💻 Local Development

1. Install Dependencies:

   pip install -r requirements.txt

2. Run Pipeline:

   # Run from root directory
   python3 -m pipeline.run_pipeline

3. Run Hugo Server:

   hugo server