Update README.md

README.md

@@ -63,7 +63,6 @@ You can download any `.h5` file directly:
 
 
 ---
-
 ## How to Use
 
 ### Load a Model (Basic)
@@ -75,11 +74,12 @@ import tensorflow as tf
 model = tf.keras.models.load_model("model.h5", compile=False)
 
 # Run inference
-output = model.predict(input_data)```
+output = model.predict(input_data)
+```
 
-Here, input_data refers to a CT image, and the corresponding T1-weighted (T1w) image is produced as the output.
+Here, `input_data` refers to a CT image, and the corresponding T1-weighted (T1w) image is produced as the output.
 
-For detailed instructions on how to use each module of the pyMEAL software, please refer to the tutorial section of our GitHub repository (https://github.com/ai-vbrain/pyMEAL).
+For detailed instructions on how to use each module of the **pyMEAL** software, please refer to the [tutorial section on our GitHub repository](https://github.com/ai-vbrain/pyMEAL).
 
 
 ### How to Get Support
@@ -88,22 +88,3 @@ For help, contact:
 
 - Dr. Ilyas (<amoiIyas@hkcoche.org>)  
 - Dr. Maradesa (<amaradesa@hkcoche.org>)
-
-
-## How to Use
-
-### Load a Model (Basic)
-
-```python
-import tensorflow as tf
-
-# Load the model
-model = tf.keras.models.load_model("model.h5", compile=False)
-
-# Run inference
-output = model.predict(input_data)
-```
-
-Here, `input_data` refers to a CT image, and the corresponding T1-weighted (T1w) image is produced as the output.
-
-For detailed instructions on how to use each module of the **pyMEAL** software, please refer to the [tutorial section on our GitHub repository](https://github.com/ai-vbrain/pyMEAL).