Zummit-Africa-Inc/Crop-Yield-API

Deploying Crop Disease Model using FastAPI

This is a guide on how to deploy a Crop Production Prediction Model using FastAPI in a Docker container.

Requirements

Docker installed on your local machine

Building the Docker image

1. Clone the repository into your local machine.

2. Navigate into the project directory.

3. cd to-this-folder

Build the Docker image using the following command:

docker build -t crop-production-prediction-model .

The image should be built successfully if you see the output similar to the following:

Successfully built e1d1007e8d2e Successfully tagged crop-production-prediction-model:latest

Running the Docker container

Once the image has been built, run the container using the following command:

docker run -p 8000:8000 crop-production-prediction-model

• This command will start a container with the name crop-production-prediction-model, map port 8000 from the container to port 8000 on the host, and run the crop-production-prediction-model image.

• You can now access the API at http://localhost:8000/docs in your browser or using an API testing tool like Postman.

Stopping the Docker container

• To stop the container, run the following command:

docker stop crop-production-prediction-model

• To remove the container, run the following command:

docker rm crop-production-prediction-model

Conclusion

You have successfully deployed a Crop Production Model using FastAPI in a Docker container.