plante-disease-detection

Uploading Recording_demo_app_final: https://drive.google.com/file/d/1z1fZGnkzpgqQJHY7QO2pUilpS6C01d3n/view?usp=sharing

1. Install Python packages

pip3 install -r training/requirements.txt
pip3 install -r api/requirements.txt

Setup the frontend app

cd plant-detection-frontend
npm install --global yarn # if not yet installed
yarn install 
yarn start

• Copy .env.example as .env. --> Make sure that the API is working (in this codebase contain the executed API in localhost but in my example I used my deployed API To get the disease)
• Change API url in .env.

Using FastAPI

cd api

• Run the FastAPI Server using uvicorn

uvicorn main:app --reload --host 0.0.0.0

• Your API is now running at 0.0.0.0:8000 or localhost:8000

hint: run tf serving image in docker

docker run -t --rm -p 8501:8501 -v C:\Users\Honor\Documents\Projects\Plant-disease-detection:/Plant-disease-detection tensorflow/serving --rest_api_port=8501 --model_config_file=/Plant-disease-detection/models.config

Run the backend

cd plants-detection-backend
yarn run nodemon server.js

Contributors

• AGDAD Mariam
• DARIF Oussama
• ED-DAOUI Nouha
• EL-AAFANI Hamza
• OUHAMOU Aicha