This tool is really nice tool.
I'm new of this tool, one basic question is that when I deploy one real-time API, how can add those dependencies if my predictor will need other source code?
For example, I want to deploy Wav2lip model (https://github.com/Rudrabha/Wav2Lip) for large scale inference. It will depends on other codes? Can I package one new docker images and use that images which includes dependency? Then I develop one new predictor and parse the input which needed for inference.
This tool is really nice tool. I'm new of this tool, one basic question is that when I deploy one real-time API, how can add those dependencies if my predictor will need other source code? For example, I want to deploy Wav2lip model (https://github.com/Rudrabha/Wav2Lip) for large scale inference. It will depends on other codes? Can I package one new docker images and use that images which includes dependency? Then I develop one new predictor and parse the input which needed for inference.
python inference.py --checkpoint_path --face --audio
https://github.com/dorkforces/Wav2lip
Thanks Ron