Book Writer flow using DeepMind's Gemma 3, CrewAI and BrightData

This project implements an automated book writing system using AI agents.

• Bright Data is used to scrape YouTube videos.
• CrewAI to build the Agentic workflow.
• Google DeepMind's latest Gemma 3 as the LLM.

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Setup and installations

Get BrightData API Key:

• Go to Bright Data and sign up for an account.
• Select "Proxies & Scraping" and create a new "SERP API"
• Select "Native proxy-based access"
• You will find your username and password there.
• Store it in the .env file of the src/ folder (after renaming .env.example to .env).

BRIGHDATA_USERNAME="..."
BRIGHDATA_PASSWORD="..."

Setup Ollama:

# setup ollama on linux 
curl -fsSL https://ollama.com/install.sh | sh
# pull gemma3 model
ollama pull gemma3:4b

Install Dependencies: Ensure you have Python 3.11 or later installed.

pip install ollama crewai crewai-tools

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Run the project

Finally, head over to this folder:

cd book_flow/book_writing_flow/src

and run the project by running the following command:

python book_writing_flow/main.py

Sample Output

The book produced by the workflow on "Astronomy in 2025" is shown here: Sample book

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Contribution