edited readme

README.md

@@ -7,40 +7,20 @@ This Python repository contains a testing environment and implementation of the
 The Snake game is played on a 10x10 map. Each time the snake eats an apple, its length increases and the fitness score is incremented by 1. The goal is to achieve a fitness score of 20.
 
 ## Installation
-To install the required dependencies, run the following command:
-
-```
-pip install -r requirements.txt
-```
+To install the required dependencies, run the following command`pip install -r requirements.txt`
 
 ## Usage
 There are several options available for running the Snake game:
-**Test Environment**: To test the environment, execute the following command:
-```
-python main.py test
-```
- **Train Snake**: To train the snake using the NEAT algorithm, use the following command:
-```
-python main.py train
-```
-**Save and Create Winner Model**: To save and create a winner model after training, run the following command:
-```
-python main.py save
-```
-**Run Trained Model**: To run a trained model, execute the following command:
-```
-python main.py run
-```
-
-**Run Master Model**: To run the master model, execute the following command:
-```
-python main.py run_master
-```
 
-Note: The last two commands are the same, but provided separately for clarity.
+1. **Test Environment**: To test the environment, execute the following command: `python main.py test`
+2. **Train Snake**: To train the snake using the NEAT algorithm, use the following command: `python main.py train`
+3. **Save and Create Winner Model**: To save and create a winner model after training, run the following command: `python main.py save`
+4. **Run Trained Model**: To run a trained model, execute the following command: `python main.py run`
+5. **Run Master Model**: To run the master model, execute the following command: `python main.py run_master`
 
+Note: The last two commands are the same, but provided separately for clarity.
 
 ## Contributors
-- Snake env logic and network render reference. [Daniel Chang](https://github.com/danielchang2002)
+- [Daniel Chang](https://github.com/danielchang2002) - Snake env logic and network render reference. 
 
 Feel free to contribute to this project by submitting pull requests or suggesting improvements. Happy coding!