diff --git a/README.md b/README.md
index c6782d2..15ffa7e 100644
--- a/README.md
+++ b/README.md
@@ -6,11 +6,11 @@
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
 [![CodeQL](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/codeql.yml/badge.svg?branch=main)](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/codeql.yml)
 [![Dependency Review](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/dependency-review.yml/badge.svg)](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/dependency-review.yml)\
-[![Python application](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/python-app.yml/badge.svg)](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/python-app.yml)
-[![Python Test [Beta-b]](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/python-app_Beta-b.yml/badge.svg)](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/python-app_Beta-b.yml)\
-[![Python Test [Alpha-b]](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/python-app_Alpha-b.yml/badge.svg)](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/python-app_Alpha-b.yml)
+[![Python Test [main]](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/python-app.yml/badge.svg?branch=main)](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/python-app.yml)
+[![Python Test [Beta-b]](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/python-app_Beta-b.yml/badge.svg?branch=Beta-b)](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/python-app_Beta-b.yml)\
+[![Python Test [Alpha-b]](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/python-app_Alpha-b.yml/badge.svg?branch=Alpha-b)](https://github.com/Aydinhamedi/Pneumonia-Detection-Ai/actions/workflows/python-app_Alpha-b.yml)
 
-### This project uses a deep learning model built with the TensorFlow framework to detect pneumonia in X-ray images. The model architecture is based on the EfficientNetB7 model, which has achieved an accuracy of approximately 97.12% (97.11538%) on our test data. This high accuracy rate is one of the strengths of our AI model.
+### This project uses a deep learning model built with the TensorFlow Library to detect pneumonia in X-ray images. The model architecture is based on the EfficientNetB7 model, which has achieved an accuracy of approximately 97.12% (97.11538%) on our test data. This high accuracy rate is one of the strengths of our AI model.
 > [!IMPORTANT]
 > The code that have achived the highest acc is `backup/V6/Model_T&T.ipynb`.\
 > And the code with the light model is `backup/V7/Model_T&T.ipynb`.
@@ -19,7 +19,7 @@
 > [!TIP]
 > If you just want the model go to the Github Releases.
 
-The project includes a Command Line Interface (CLI) for easy use of the model. The CLI, which is based on the [Python CLI template](https://github.com/Aydinhamedi/Python-CLI-template) from the same author, provides a user-friendly, colorful interface that allows you to interact with the model. you can fined the CLI in 
+The project includes a Command Line Interface (CLI) and a (GUI) Graphical User Interface for easy use of the model. The CLI, which is based on the [Python CLI template](https://github.com/Aydinhamedi/Python-CLI-template) from the same author, provides a user-friendly, colorful interface that allows you to interact with the model. you can fined the CLI in 
 
 ```
 Interface\CLI
@@ -51,7 +51,13 @@ The model is a Convolutional Neural Network (CNN) trained on a dataset of 23681
 - Covid19-Pneumonia-Normal Chest X-Ray Images from Mendeley
 - RSNA dataset
 
-This combined dataset provides a comprehensive set of images for training the model.
+This combined dataset provides a comprehensive set of images for training the model.\
+
+### Model list:
+| Model    | Base Model      | Params | acc    |
+|----------|-----------------|--------|--------|
+| V6       | efficientnet-b7 | 65.4M  | 97.12% |
+| V7 light | efficientnet-b4 | 29.7M  | 97.12% |
 
 ## Training Methods
 ### The AI model supports two distinct training approaches:
@@ -102,9 +108,10 @@ The model provided in this project should not be used for medical diagnosis with
 ### Acc:
 ![img_](doc/V6/D1.png)
 ### Grad cam:
-![img_](doc/V6+/D1.png)
-![img_](doc/V6+/D2.png)
-![img_](doc/V6+/D3.png)
+| Model    | Grad-cam Ex |
+|----------|----------|
+| V6       | ![img_](doc/V6+/D1.png)![img_](doc/V6+/D2.png)![img_](doc/V6+/D3.png)|
+| V7 light | 🚧None🚧|
 ### Other:
 ![img_](doc/V6/D4.png)
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