Deploying Fogsight locally requires four steps to complete the environment setup:
- Preparation of the basic environment: Ensure Python 3.9+ and a modern browser (Chrome 105+ recommended) to avoid version incompatibility
- Code Fetch: By
git cloneGet the latest version of the source code, and be sure to checkrequirements.txtDependency library version requirements in the - API Key Configuration: in
credentials.jsonFill in the valid LLM API information, recommended for Gemini 2.5, the BASE_URL should be as precise as/v2.5trails - service activation: Run the startup script will open the local port 8000, the first startup will automatically install Transformers and other large models
Key considerations include:
- API keys need to be applied for in advance to ensure sufficient credit.
- NVIDIA graphics acceleration is recommended for complex animation generation.
- Firewalls need to release port 8000 for browser access
- It is recommended to create a virtual environment when encountering dependency conflicts
This answer comes from the articleFogsight: AI tool for generating instructional animations with one clickThe
May not be reproduced without permission:AI productivity tools " How do I complete a local deployment of Fogsight? What are the key technical points to keep in mind during installation?
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