Comments (5)
As a quick fix, maybe there should be a warning to make sure no jupyter notebooks are running prior to starting the model notebook?
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For the reference, running the script in sudo mode (and this is on mac) does not fix the issue.
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After some research this actually seems to be an IP issue on MAC. Docker apparently runs under a different IP than the host system, so the port is actually free, but we have to figure out the correct IP to access the model.
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Had the same problem on Windows, which I could fix. So current version runs on Windows and Linux and hopefully Mac (couldn't test yet).
We are using ports 81, 81 and 8080 now, so these must be free on the host. It would still make sense to warn and abort if ports are in use already. We could provide an option for the user to specify alternative ports via cmdl.
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start.py now offers options to change ports 27b0736
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Related Issues (20)
- for the model registry, or models.json, do we need to include the commit hash as well? HOT 1
- Write schema for accepted prediction outputs HOT 2
- start.py seems to not function properly under python 3 HOT 2
- Refactor start.py and test_integration.py
- Refactor models.json (remove some fields to keep it cleaner)
- JSONSchema and UISchema HOT 2
- Slicer Plugin
- AWS security group
- add cxr prognosis to models
- cascaded live model unable to receive tests HOT 1
- start.py to update docker image eben with same tag HOT 1
- For models that are not run on our servers because it $$ HOT 1
- Integration Test: Download JSON Schema HOT 1
- Integration Test: Add port option HOT 1
- add framework and model_format to config
- Unable to test local models when they are not in the online index
- Keep Nvidia-Docker 2 support or move on to native Docker? HOT 1
- ConnectionResetError: [Errono 104] Connection reset by peer HOT 8
- Is there a step-by-step tutorial describing how we'd build the docker for modelhub?
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