servefastai
Serve FastAI models and get a web-based UI to test them out with a single line of code. See a video demo here.
Installation
Install with pip. Make sure you have fastai already installed.
pip install servefastai --upgrade
Usage
from servefastai import serve
serve(learn)
learn should be a FastAI learner object. Navigate to http://PUBLIC_IP:9999 , where PUBLIC_IP is the public IP address of the machine running the Jupyter notebook. You will see a form where you can upload one or more images. Upload the images and click submit to view the predictions.
1 maintainer
Metadata
1 maintainer
Release files for servefastai 0.1.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| servefastai-0.1.4.tar.gz | 651.5 kB | Without provenance | Details for servefastai-0.1.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| servefastai-0.1.4-py2-none-any.whl | Python 2 | none | any | Details for servefastai-0.1.4-py2-none-any.whl |
Total release size: 1.3 MB
Release files / servefastai-0.1.4.tar.gz
| Download URL | servefastai-0.1.4.tar.gz |
|---|---|
| Size | 651.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / servefastai-0.1.4-py2-none-any.whl
| Download URL | servefastai-0.1.4-py2-none-any.whl |
|---|---|
| Size | 666.8 kB |
| Tags | Python 2 |
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SHA-256 checksum How to use checksums |
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twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15
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Security for servefastai 0.1.4
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