chore: update .gitignore and create README.md

.gitignore

@@ -21,69 +21,20 @@ ipython_config.py
 # Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
 
 # User-specific stuff
-.idea/**/workspace.xml
-.idea/**/tasks.xml
-.idea/**/usage.statistics.xml
-.idea/**/dictionaries
-.idea/**/shelf
-
-# AWS User-specific
-.idea/**/aws.xml
-
-# Generated files
-.idea/**/contentModel.xml
-
-# Sensitive or high-churn files
-.idea/**/dataSources/
-.idea/**/dataSources.ids
-.idea/**/dataSources.local.xml
-.idea/**/sqlDataSources.xml
-.idea/**/dynamic.xml
-.idea/**/uiDesigner.xml
-.idea/**/dbnavigator.xml
-
-# Gradle
-.idea/**/gradle.xml
-.idea/**/libraries
-
-# Gradle and Maven with auto-import
-# When using Gradle or Maven with auto-import, you should exclude module files,
-# since they will be recreated, and may cause churn.  Uncomment if using
-# auto-import.
-# .idea/artifacts
-# .idea/compiler.xml
-# .idea/jarRepositories.xml
-# .idea/modules.xml
-# .idea/*.iml
-# .idea/modules
-# *.iml
-# *.ipr
+.idea/
 
 # CMake
 cmake-build-*/
 
-# Mongo Explorer plugin
-.idea/**/mongoSettings.xml
-
 # File-based project format
 *.iws
 
 # IntelliJ
 out/
 
-# mpeltonen/sbt-idea plugin
-.idea_modules/
-
 # JIRA plugin
 atlassian-ide-plugin.xml
 
-# Cursive Clojure plugin
-.idea/replstate.xml
-
-# SonarLint plugin
-.idea/sonarlint/
-.idea/sonarlint.xml # see https://community.sonarsource.com/t/is-the-file-idea-idea-idea-sonarlint-xml-intended-to-be-under-source-control/121119
-
 # Crashlytics plugin (for Android Studio and IntelliJ)
 com_crashlytics_export_strings.xml
 crashlytics.properties
@@ -91,16 +42,8 @@ crashlytics-build.properties
 fabric.properties
 
 # Editor-based HTTP Client
-.idea/httpRequests
 http-client.private.env.json
 
-# Android studio 3.1+ serialized cache file
-.idea/caches/build_file_checksums.ser
-
-# Apifox Helper cache
-.idea/.cache/.Apifox_Helper
-.idea/ApifoxUploaderProjectSetting.xml
-
 
 
 # VSCode

README.md

@@ -0,0 +1,55 @@
+# Waste Classification Application
+
+This project is a web-based application that classifies waste materials from user-uploaded images. It identifies the type of waste (e.g., cardboard, glass, metal) and provides information on how to properly dispose of it.
+
+## Features
+
+*   **Image-based classification:** Upload an image of a waste item to have it automatically classified.
+*   **Multiple waste categories:** The application can identify a variety of waste materials.
+*   **Disposal information:** After classification, the app provides guidance on how to dispose of the identified waste material.
+*   **Web interface:** A user-friendly web interface built with Gradio makes the application easy to use.
+
+## How it works
+
+The application uses a pre-trained Vision Transformer (ViT) 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.
+
+## Getting Started
+
+### Prerequisites
+
+*   Python 3.7+
+*   Pip
+
+### Installation
+
+1.  Clone the repository:
+    ```bash
+    git clone https://github.com/your-username/waste-classification-app.git
+    ```
+2.  Navigate to the project directory:
+    ```bash
+    cd waste-classification-app
+    ```
+3.  Install the required dependencies:
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+### Running the application
+
+To start the application, run the following command:
+
+```bash
+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.