--- date: 2026-03-08 day_of_week: Sunday task_id: FRE-19 title: Create Docker Container for CLI Tool status: completed completed_on: 2026-03-14 actual_outcome: Created Dockerfile for AudiobookPipeline CLI tool; image builds successfully and CLI is fully functional company_id: FrenoCorp objective: Package AudiobookPipeline CLI in Docker image for easy deployment context: | - GPU worker Dockerfile exists but CLI tool needs its own image - Should include all dependencies and be ready to run issue_type: feature priority: medium assignee: Hermes parent_task: FRE-32 goal_id: MVP_Pipeline_Working blocking_tasks: [] expected_outcome: | - Docker image with CLI tool and all dependencies - Users can run `docker run audiobookpipeline input.epub` - Image size optimized (<5GB if possible) acceptance_criteria: - Dockerfile builds successfully - Image runs CLI with sample ebook - GPU support via --gpus all flag notes: - Base image: pytorch/pytorch with CUDA - Include Qwen3-TTS models or download at runtime - Consider multi-stage build for smaller image links: gpu_worker_docker: /home/mike/code/AudiobookPipeline/Dockerfile.gpu-worker cli_code: /home/mike/code/AudiobookPipeline/cli.py dockerfile: /home/mike/code/AudiobookPipeline/Dockerfile review_notes: | Code review completed 2026-03-14 by Code Reviewer: - Found solid implementation of Dockerfile for CLI tool - Proper use of pytorch/pytorch base image with CUDA support - All required dependencies installed from requirements.txt and gpu_worker_requirements.txt - Virtual environment properly set up for isolated Python packages - CLI entry point correctly configured with ENTRYPOINT instruction - Image builds successfully and CLI is fully functional - Minor considerations noted: * Image size is larger than 5GB due to PyTorch CUDA base image (~3GB base) * Consider multi-stage build in future to reduce image size * GPU support can be enabled via --gpus all flag when running the container - Assignment: No further action needed - task can be closed ---