Update README.md

README.md

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 # Real-Time-Object-Detection
 
 Utilizing Deep Learning for Object Recognition and Tracking in Aerial Images/Videos: A YOLO-DeepSort Approach integrated with OpenCV, Flask API, and React interface.
+
+## Get started with Flask API
+
+To run this application in a Docker container, follow these steps:
+
+1. Clone the repository to your local machine:
+
+   `git clone http://github.com/YassineOuhadi/World-Cup-Express-App.git`
+
+1. Clone the repository to your local machine:
+
+   ` python -m venv venv`
+
+1. Clone the repository to your local machine:
+
+   `pip install -U pip virtualenv`
+
+1. Clone the repository to your local machine:
+
+   `source venv/bin/activate`
+
+1. Clone the repository to your local machine:
+
+   `python -m pip install flask`
+
+1. Clone the repository to your local machine:
+
+   `pip install opencv-python
+
+1. Clone the repository to your local machine:
+
+   `pip install opencv-python`
+1. Clone the repository to your local machine:
+
+   `python -m flask --app ./app.py run`
+