Plant-Disease-Detector

Important Links

1. Backend API Server Docker Image: amitmaindola/plant-disease-detector-api
2. API Server Link: Hosted on Google Cloud [Note: /ping route is to check if the server is live or not]
3. Front-End Production Build: amitmaindola/PDD-Production_build
4. Web Application Link: amitmaindola.github.io/PDD-Production_build/

File System

1. Model Training: In training/ folder you will find all files related to the training of the Deep Learning Model.
2. Saved Model: In saved_models/1/ folder you will find the final saved trained model.
3. Server: In server/ folder you will find requirements.txt and main.py files which will act as a backend API server for the application.
4. Front End: In web_app/ folder you will find a React.js web application.

Getting Started

1. Setting up the API server.

 There are two ways to start API server at your local device.

 1.1 Using Docker Image [Prerequisites: Docker should be installed in your machine]

    Visit amitmaindola/plant-disease-detector-api and look at the documentation to start docker container.

 1.1 Using Python

    Open Terminal/Python Shell in server/ directory and run the following command

pip3 install -r api/requirements.txt

    Now you can run server in your local machine with command

python main.py

1. Using the API server.

    Start the server in your local machine with command

python main.py

   Now You to create a POST request at https://localhost:8000/predict with a body having a file with field name file