https://github.com/guillaumegenthial/api_ner

API for Tensorflow model in Flask
https://github.com/guillaumegenthial/api_ner

flask-api

Last synced: about 2 months ago
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API for Tensorflow model in Flask

• Host: GitHub
• URL: https://github.com/guillaumegenthial/api_ner
• Owner: guillaumegenthial
• License: apache-2.0
• Created: 2017-09-15T01:23:05.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-11-20T23:20:12.000Z (about 7 years ago)
• Last Synced: 2023-11-07T18:17:55.950Z (about 1 year ago)
• Topics: flask-api
• Language: Python
• Homepage: https://guillaumegenthial.github.io/serving.html
• Size: 97.3 MB
• Stars: 104
• Watchers: 7
• Forks: 50
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# Simple Flask API for a Tensorflow Model

See the [blog post](https://guillaumegenthial.github.io/serving.html) covering the main steps.

To be hosted on Heroku (files `Procfile`, `requirements.txt` and `runtime.txt`).

To run locally,

```

python app.py

```

The model is from [another repo](https://github.com/guillaumegenthial/sequence_tagging) on my github and is in the `model` directory. The flask app is defined in `app.py` which contains generic logic. The model-specific logic for the API is in the `serve.py` file.

An example of client is in the `client` directory.