Update README.md

README.md

@@ -49,9 +49,9 @@ Code
 ### 2. Viewing the Results (Using the Pre-trained Model)
 
 1.  Run the V2 viewer script:
-    ```
+    
     python pkas_cal_viewer_gemini2.py
-    ```
+    
 2.  In the GUI:
     -   Select the COCO image and annotation paths you downloaded.
     -   Click **"Load V2 Model"** and select the `calcium_bridge_eeg_model_v2.pth` file you downloaded from Hugging Face.
@@ -60,11 +60,13 @@ Code
 ### 3. Training Your Own Model (Optional)
 
 1.  Run the V2 training script:
-    ```    python pkas_cal_trainer_gemini.py
-    ```
-2.  In the GUI, select your COCO image and annotation paths.
-3.  Click **"Train Extended Model (V2)"**.
-4.  A new file named `calcium_bridge_eeg_model_v2.pth` will be saved with the best-performing model from your training run. You can then load this file into the viewer.
+
+
+    python pkas_cal_trainer_gemini.py
+    
+3.  In the GUI, select your COCO image and annotation paths.
+4.  Click **"Train Extended Model (V2)"**.
+5.  A new file named `calcium_bridge_eeg_model_v2.pth` will be saved with the best-performing model from your training run. You can then load this file into the viewer.
 
 ## A Note on Interpretation