--- a/README.md
+++ b/README.md
@@ -1,46 +1,46 @@
-# UNET Segmentation on CT Scan Images
-
-Dataset - [Kaggle Dataset Link](https://www.kaggle.com/datasets/nikhilroxtomar/ct-heart-segmentation)
-
-### How to Train the Model
-
-```
-1. python3 -m pip install --user virtualenv (In Mac or Linux)
-   python -m pip install --user virtualenv (In Windows) 
-   
-   [Make sure Python3 is installed in your system]
-
-2. python3 -m venv env (In Mac or Linux)
-   python -m venv env (In Windows) 
-   
-3. source env/bin/activate  (In Mac or Linux)
-   .\env\Scripts\activate (In Windows) 
-
-4. pip3 install --upgrade pip (In Mac or Linux)
-   pip install --upgrade pip (In Windows)
-   
-4. pip3 install -r requirements.txt (In Mac or Linux)
-   pip install -r requirements.txt (In Windows)
-```
-
-> Formatter Used - black
-
-### Project Structure
-```
-.
-├── README.md
-├── dataloader
-│   └── data.py
-├── eval.py
-├── logs
-├── metrics.py
-├── models
-│   └── unet.py
-├── predict.py
-├── requirements.txt
-├── results
-├── saved_models
-└── train.py
-```
-
-Thank You!
+# UNET Segmentation on CT Scan Images
+
+Dataset - [Kaggle Dataset Link](https://www.kaggle.com/datasets/nikhilroxtomar/ct-heart-segmentation)
+
+### How to Train the Model
+
+```
+1. python3 -m pip install --user virtualenv (In Mac or Linux)
+   python -m pip install --user virtualenv (In Windows) 
+   
+   [Make sure Python3 is installed in your system]
+
+2. python3 -m venv env (In Mac or Linux)
+   python -m venv env (In Windows) 
+   
+3. source env/bin/activate  (In Mac or Linux)
+   .\env\Scripts\activate (In Windows) 
+
+4. pip3 install --upgrade pip (In Mac or Linux)
+   pip install --upgrade pip (In Windows)
+   
+4. pip3 install -r requirements.txt (In Mac or Linux)
+   pip install -r requirements.txt (In Windows)
+```
+
+ Formatter Used - black
+
+### Project Structure
+```
+.
+├── README.md
+├── dataloader
+│   └── data.py
+├── eval.py
+├── logs
+├── metrics.py
+├── models
+│   └── unet.py
+├── predict.py
+├── requirements.txt
+├── results
+├── saved_models
+└── train.py
+```
+
+Thank You!