Everything you need to preserve humanity's greatest epic in one zip file.
# 1. Build
docker-compose build
# 2. Start
docker-compose up -d
# 3. Enter
docker-compose exec mahabharata bash
Then inside the container:
python download_models.py
python test_checkpoint_system.py
Done! Your production system is ready.
β
Dockerfile - Container definition
β
docker-compose.yml - Configuration
β
requirements.txt - All Python packages
β
All production code - Ready to run
β
All documentation - Complete guides
β
Checkpoint system - Power cut protection
β
AI model downloader - Download 3 models
β
Test suite - Verify everything works
sudo apt-get install docker.io docker-composedocker --version
docker-compose --version
Extract to any folder (e.g., C:\Users\YourName\mahabharata or ~/mahabharata)
cd mahabharata
docker-compose build
docker-compose up -d
docker-compose exec mahabharata bash
Inside the container:
python download_models.py
Time: 1-2 hours, ~50GB
python test_checkpoint_system.py
Should show: β ALL TESTS PASSED
mahabharata/
βββ Dockerfile
βββ docker-compose.yml
βββ requirements.txt
βββ .dockerignore
β
βββ Python Scripts:
β βββ download_models.py
β βββ test_checkpoint_system.py
β βββ CHECKPOINT_AND_RECOVERY_SYSTEM.py
β βββ production_pipeline_starter.py
β βββ character_management_system.py
β βββ VERIFICATION_AND_QA_SYSTEM.py
β
βββ Documentation:
β βββ README_START_HERE.md
β βββ DOCKER_SETUP.md
β βββ CHECKPOINT_RECOVERY_GUIDE.md
β βββ IMPLEMENTATION_STRATEGY.md
β βββ COMPLETE_SYSTEM_SUMMARY.md
β βββ CULTURAL_PRESERVATION_FRAMEWORK.md
β βββ QUICK_START_GUIDE.md
β
βββ Data Directories (auto-created):
β βββ models/ - Downloaded AI models
β βββ checkpoints/ - Auto-saved states
β βββ recovery_logs/ - Crash recovery logs
β βββ output/ - Generated episodes
β βββ logs/ - Production logs
β βββ scripts/ - Custom scripts
β βββ characters/ - Character database
β βββ materials/ - Educational materials
β βββ temp/ - Temporary files
# Start
docker-compose up -d
# Enter container
docker-compose exec mahabharata bash
# Run commands
python production_pipeline_starter.py
# Exit
exit
# Stop (optional)
docker-compose down
docker-compose exec mahabharata bash
python download_models.py
docker-compose exec mahabharata bash
python test_checkpoint_system.py
docker-compose logs -f mahabharata
docker-compose down
docker-compose down -v
docker system prune -a
Start with:
β
Python 3.12
β
All ML packages (PyTorch, transformers, diffusers)
β
Audio/video tools (FFmpeg, librosa, etc.)
β
Checkpoint system (power cut protection)
β
All production code ready to run
β
CogVideoX-2B model support
β
Isolated environment (no system pollution)
β
Backup of all your work (checkpoints folder)
β
Generated episodes (output folder)
β
Logs and recovery info (logs, recovery_logs)
β
Easy to backup, move, or delete
β Install Docker Desktop and restart
β Modify docker-compose.yml ports section
β Run docker system prune -a
β Run docker-compose down -v && docker system prune -a
More help: See DOCKER_SETUP.md
β
No Python venv issues
β
No PATH problems
β
No system pollution
β
Works on any computer
β
Easy to backup
β
Easy to delete
β
Professional setup
β
Industry standard
This is everything you need to begin 18-24 months of Mahabharata production.
Next steps:
docker-compose builddocker-compose up -ddocker-compose exec mahabharata bashpython download_models.pyThat's it. Everything else is automatic.
You're about to preserve humanity's greatest epic for all future generations.
This system is designed to:
Begin when you're ready. The Mahabharata awaits. π¬
Everything you need is documented. Everything you need is included.
Welcome to the epic. π
3 commits
Python
98.5%
Dockerfile
1.5%
Everything you need to preserve humanity's greatest epic in one zip file.
# 1. Build
docker-compose build
# 2. Start
docker-compose up -d
# 3. Enter
docker-compose exec mahabharata bash
Then inside the container:
python download_models.py
python test_checkpoint_system.py
Done! Your production system is ready.
β
Dockerfile - Container definition
β
docker-compose.yml - Configuration
β
requirements.txt - All Python packages
β
All production code - Ready to run
β
All documentation - Complete guides
β
Checkpoint system - Power cut protection
β
AI model downloader - Download 3 models
β
Test suite - Verify everything works
sudo apt-get install docker.io docker-composedocker --version
docker-compose --version
Extract to any folder (e.g., C:\Users\YourName\mahabharata or ~/mahabharata)
cd mahabharata
docker-compose build
docker-compose up -d
docker-compose exec mahabharata bash
Inside the container:
python download_models.py
Time: 1-2 hours, ~50GB
python test_checkpoint_system.py
Should show: β ALL TESTS PASSED
mahabharata/
βββ Dockerfile
βββ docker-compose.yml
βββ requirements.txt
βββ .dockerignore
β
βββ Python Scripts:
β βββ download_models.py
β βββ test_checkpoint_system.py
β βββ CHECKPOINT_AND_RECOVERY_SYSTEM.py
β βββ production_pipeline_starter.py
β βββ character_management_system.py
β βββ VERIFICATION_AND_QA_SYSTEM.py
β
βββ Documentation:
β βββ README_START_HERE.md
β βββ DOCKER_SETUP.md
β βββ CHECKPOINT_RECOVERY_GUIDE.md
β βββ IMPLEMENTATION_STRATEGY.md
β βββ COMPLETE_SYSTEM_SUMMARY.md
β βββ CULTURAL_PRESERVATION_FRAMEWORK.md
β βββ QUICK_START_GUIDE.md
β
βββ Data Directories (auto-created):
β βββ models/ - Downloaded AI models
β βββ checkpoints/ - Auto-saved states
β βββ recovery_logs/ - Crash recovery logs
β βββ output/ - Generated episodes
β βββ logs/ - Production logs
β βββ scripts/ - Custom scripts
β βββ characters/ - Character database
β βββ materials/ - Educational materials
β βββ temp/ - Temporary files
# Start
docker-compose up -d
# Enter container
docker-compose exec mahabharata bash
# Run commands
python production_pipeline_starter.py
# Exit
exit
# Stop (optional)
docker-compose down
docker-compose exec mahabharata bash
python download_models.py
docker-compose exec mahabharata bash
python test_checkpoint_system.py
docker-compose logs -f mahabharata
docker-compose down
docker-compose down -v
docker system prune -a
Start with:
β
Python 3.12
β
All ML packages (PyTorch, transformers, diffusers)
β
Audio/video tools (FFmpeg, librosa, etc.)
β
Checkpoint system (power cut protection)
β
All production code ready to run
β
CogVideoX-2B model support
β
Isolated environment (no system pollution)
β
Backup of all your work (checkpoints folder)
β
Generated episodes (output folder)
β
Logs and recovery info (logs, recovery_logs)
β
Easy to backup, move, or delete
β Install Docker Desktop and restart
β Modify docker-compose.yml ports section
β Run docker system prune -a
β Run docker-compose down -v && docker system prune -a
More help: See DOCKER_SETUP.md
β
No Python venv issues
β
No PATH problems
β
No system pollution
β
Works on any computer
β
Easy to backup
β
Easy to delete
β
Professional setup
β
Industry standard
This is everything you need to begin 18-24 months of Mahabharata production.
Next steps:
docker-compose builddocker-compose up -ddocker-compose exec mahabharata bashpython download_models.pyThat's it. Everything else is automatic.
You're about to preserve humanity's greatest epic for all future generations.
This system is designed to:
Begin when you're ready. The Mahabharata awaits. π¬
Everything you need is documented. Everything you need is included.
Welcome to the epic. π
3 commits
Python
98.5%
Dockerfile
1.5%