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https://github.com/vermavinay982/tensorflow-serving-heroku

Last synced: 9 days ago
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Host: GitHub
URL: https://github.com/vermavinay982/tensorflow-serving-heroku
Owner: vermavinay982
Created: 2022-03-14T18:25:34.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2022-03-14T18:47:43.000Z (over 2 years ago)
Last Synced: 2024-10-14T14:11:59.475Z (24 days ago)
Language: Python
Size: 115 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

# Heroku_Model_Deploy_TFS - To Access Model Globally :)
## Generate Your Model
1. Run generate_model.py if you dont have your model in hand.
2. Arrange Model in given format - 1 refers to the version
```
└── resnet50
└── 1
├── assets
├── keras_metadata.pb
├── saved_model.pb
└── variables
├── variables.data-00000-of-00001
└── variables.index
```
3. (Optional) Try running tensorflow serving on your local machine.

```docker run --rm -it -p 8501:8501 -v /home/user/Documents/Deploy/model:/models -e MODEL_NAME=resnet50 tensorflow/serving```

## Steps to deploy your Model on Heroku - Free Tier
0. Install heroku by ```sudo snap install heroku --classic```
1. heroku login
2. heroku create resnetapps
```
Creating ⬢ resnetapps... done
https://resnetapps.herokuapp.com/ | https://git.heroku.com/resnetapps.git
Creating ⬢ resnetapps... done
https://resnetapps.herokuapp.com/ | https://git.heroku.com/resnetapps.git
```
3. heroku container:login
4. heroku container:push web -a resnetapps
5. heroku container:release web -a resnetapps
6. heroku logs -a resnetapps --tail

## Sample Input

```

[[('n02979186', 'cassette_player', 0.692178965), ('n04041544', 'radio', 0.0751536936),
('n04332243', 'strainer', 0.0637984723), ('n02988304', 'CD_player', 0.0601880699),
('n04392985', 'tape_player', 0.0419094302)]]
Time Taken: 3.7129290103912354
```