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 `localhost` 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.