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Install Poetry:\n\n   ```bash\n   curl -sSL https://install.python-poetry.org | python3 -\n   ```\n\n2. Clone the repository\n3. Navigate to the project directory\n4. Create environment and Install project dependencies:\n\n   ```bash\n   poetry shell\n   poetry install\n   ```\n\n## Usage\n\n### Running the project for the first time?\n\n1. Run the helper script for deploying the LlamaEdge API Server on this machine and starting the server:\n\n```bash\nsh start.sh\n```\n\nThe application can be reached at `http://localhost:5443`.\n\n## Usage via Docker\n\nBefore you start, ensure your system meets the following minimum requirements to run the project using Docker:\n\n- CPU: 8 cores\n- Memory: 12GB\n- Disk: 20GB\n\n### Building the Docker Image\n\nFirst, you have to build the Docker image for the project. Navigate to the project's root directory and run the following command:\n\n```bash\ndocker build -t youtube-timeline-generator:dev .\n```\n\n### Running the Docker Container\n\nAfter the image has been built, you can run the Docker container with the following command:\n\n```bash\ndocker run -p 5443:5443 youtube-timeline-generator:dev\n```\n\nThe application can be reached at `http://localhost:5443`.\n\n# System Diagram\n\n![diagram](./assets/architechture-diagram-video-timeline-splitter_latest.png)\n\n## Components\n\n- UI\n  - Bootstrap and jQuery\n- Backend\n  - APIs exposed via Flask\n- LLM Agent via LamaEdge\n  - LLM model - [SanctumAI/Meta-Llama-3-8B-Instruct-GGUF](https://huggingface.co/SanctumAI/Meta-Llama-3-8B-Instruct-GGUF/)\n  - Model exposed over APIs using [LlamaEdge](https://github.com/LlamaEdge/LlamaEdge)\n\n## Features \u0026 Extensions\n\n- [x] User-friendly interface\n- [x] Validations on user input\n- [x] Easy copy-paste of summary and description\n\n#### Extensions\n\n- [ ] History page - showing past requests\n- [ ] More unit and Integration tests\n- [ ] Improve response time\n\n## License\n\nThis project is licensed under the [MIT License](LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famarlearning%2Fyoutube-timeline-generator","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famarlearning%2Fyoutube-timeline-generator","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famarlearning%2Fyoutube-timeline-generator/lists"}