Update README.md

README.md

@@ -21,7 +21,7 @@ Try the application live on Hugging Face Spaces!
 
 ## 💡 How it works
 
-The application uses a pre-trained Gemma3n(E2B) model to perform the image classification. The model has been fine-tuned on a dataset of waste images to accurately identify different materials. The disposal information is retrieved from a knowledge base within the application.
+The application uses a pre-trained Gemma3n (E2B) model to perform the image classification. The model has been fine-tuned on a dataset of waste images to accurately identify different materials. The disposal information is retrieved from a knowledge base within the application.
 
 ---
 
@@ -53,4 +53,16 @@ The application uses a pre-trained Gemma3n(E2B) model to perform the image class
 To start the application, run the following command:
 
 ```bash
-python app.py
+python app.py
+```
+
+This will launch a Gradio web server. You can access the application by opening the provided URL in your web browser.
+
+## 📂 Project Structure
+
+* `app.py`: The main application file, containing the Gradio interface and the classification logic.
+* `classifier.py`:  Handles the image classification using the pre-trained model.
+* `config.py`: Contains configuration settings for the application, such as the model name and labels.
+* `knowledge_base.py`:  A simple knowledge base containing disposal information for different waste materials.
+* `requirements.txt`: A list of the Python dependencies required to run the application.
+* `test_images/`: A directory containing sample images for testing the application.