Added a guide for running crop disease detection part in Docker as well as standalone.

models/README.md

@@ -0,0 +1,62 @@
+# models/ 
+
+This directory holds code for AI model used for disease detection in crops.
+
+---
+
+## Requirements
+
+- `${FRONTEND_URI}` is used in [server.js](./models/server.js). This should be passed when creating the Docker container as an environment variable.
+- `${FRONTEND_URI}` is essentially the URI where the frontend is hosted.
+
+## Docker Run
+
+It is recommended that you use the [docker-compose.yaml](./docker-compose.yaml) file which creates all the required containers, however if you wish to run only the "models" part of this project in Docker run the following docker command.
+
+```shell
+docker run -tid \
+  --name cropcompass-model \
+  --restart always \
+  -p "8081:8081" \
+  -e "FRONTEND_URI=<frontend_uri>" \
+  kshitijka/cropcompass-model:<version>
+```
+
+> [!NOTE]
+> Replace `<frontend_uri>` with the actual frontend URI such as http://localhost:3000 & `<version>` with an actual version number such as `1.1.0`.
+
+## Manual Run
+
+To run only the "models" part of this project, you will have to create a python virtual environement, followed by installing all the dependencies and then running the [server.js](./models/server.js) file using node.
+
+1. Install required packages (for Debian based systems):
+
+```shell
+sudo apt install python3 python3-pip python3.11-venv
+```
+
+2. Create a virtual environment:
+
+```shell
+python3 -m venv .
+```
+
+> [!NOTE]
+> Assuming you're in the `models/` directory.
+
+3. Install required packages using `pip`:
+
+```shell
+pip install -r requirements.txt
+```
+
+4. Run [server.js](./models/server.js):
+
+```shell
+node server.js
+```
+
+> [!NOTE]
+> Assuming you already have `node` installed on your system.
+
+---