diff --git a/README.md b/README.md
index baa4580..10ed0d4 100644
--- a/README.md
+++ b/README.md
@@ -445,7 +445,7 @@ python 2_train_classifier.py \
    - It will appear at `/kaggle/input/my-product-crops/`
 
 4. Enable the GPU:
-   - Right panel → **Session options → Accelerator → GPU T4 x1**
+   - Right panel → **Session options → Accelerator → GPU T4 x2**
 
 5. Edit **Cell 2 — Configuration** only:
    ```python
@@ -477,6 +477,10 @@ After training, download from `/kaggle/working/runs/classify/`:
 
 These two files are all you need to run `3_inference.py` and `api_server.py`.
 
+   <div align="center">
+      <video src="assets/video/Training Model.mp4" title="Update Dataset.mp4" width="75%" controls></video>
+   </div>
+
 #### Option C — Fully automated via `kaggle_train.py`
 
 Run the entire Kaggle pipeline — upload, train, download — from a single command with no browser needed: