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Deploy Cats Vs Dogs Model with TensorFlow Serving and Flask

If you want to run the code from this project Deploy Models with TensorFlow Serving and Flask on your local machine, please follow the instructions given in this file.

What's Included

Following folders and files are included in this repo:

  1. pets - TensorFlow SavedModel Directory
  2. static - Empty directory which will be used for storing images by the flask app
  3. templates - HTML templates are here
  4. app.py - Flask app

⚠️ Tech/framework used

🔑 Prerequisites

You will require Python3 installed. I used python 3.7 and TensorFlow 2.1.0, and I'd recommend you do the same. It is recommended that you create a new virtual environment to avoid issues with existing installations.

All the dependencies and required libraries are included in the file requirements.txt See here

🚀  Installation

  1. Clone the repo
$ git clone https://github.com/pavitrashah/Deploy-Cats-Vs-Dogs-Model-with-TensorFlow-Serving-and-Flask.git
  1. Change your directory to the cloned repo and create a Python virtual environment named 'test'
$ python3 -m venv test/
  1. Now, run the following command in your Terminal/Command Prompt to install the libraries required
$ python3 -m pip install -r requirements.txt

💡 Working

  1. Open terminal. Go into the cloned project directory folder and type the following command:
$ sudo docker run -p PORT_NUMBER:8501 --name=pets -v "YOUR_SAVED_MODEL_PATH:/models/pets/1" -e MODEL_NAME=pets tensorflow/serving
  1. In the project, I used 8502 for the PORT_NUMBER , and YOUR_SAVED_MODEL_PATH needs to be the absolute path of the pets folder in your local machine. So, if you extracted the downloaded zip file in, say, /home/example/ , and want to use 8502 for the server port, the above command will become:
$ sudo docker run -p 8502:8501 --name=pets -v "/home/example/pets/:/models/pets/1" -e MODEL_NAME=pets tensorflow/serving
  1. Once the docker instance is running, you can launch the flask app:
$ python3 app.py

👏 And it's done!

Feel free to mail me for any doubts/query :email: [email protected]

❤️ Owner

Made with ❤️  by Pavitra Shah

👀 License

GNU General Public License © Pavitra Shah