Multiple deployment options to accommodate various usage scenarios
realtime-transcription-fastrtc offers a full range of deployment options:
- Local Deployment: Standard program for individual users to protect private data from outflow. Minimum Python 3.10 environment and ffmpeg tool required.
- Hugging Face Spaces: One-click deployment in the cloud, no need to configure the environment, suitable for quick demos
- Enterprise level deployment: Supports Docker containerization for integration into existing IT infrastructure
The project is equally flexible in terms of interface options:
- The Gradio interface is suitable for non-technical users and provides an out-of-the-box experience
- FastAPI mode allows developers to customize in depth and adjust the interface by modifying the index.html
- Support dynamic switching of deployment modes (UI_MODE and APP_MODE) via environment variables
This answer comes from the articleOpen source tool for real-time speech to textThe
May not be reproduced without permission:AI productivity tools " Flexible deployment options for realtime-transcription-fastrtc to meet different usage requirements
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