Update readme

README.md

@@ -11,4 +11,50 @@ pinned: false
 Waste Classifier
 ==============================
 
-Waste Detection and Classifier tool
+# Waste Classifier Streamlit App
+
+## Overview
+
+The Waste Classifier Streamlit App is designed to detect waste in images using the EfficientDet and classify them with a fine-tuned resnet50 model into different classes. Users can upload an image containing trash, and the app will display both the uploaded and classified images in parallel columns.
+
+## Instructions
+
+### Installation
+
+Make sure you have Python installed. Clone the repository and navigate to the project directory:
+
+```bash
+git clone <repository_url>
+cd <project_directory>
+```
+
+Create a virtual environment and install dependencies:
+
+```bash
+python -m venv venv-waste-classifier
+source venv-waste-classifier/bin/activate  # On Windows, use 'venv-waste-classifier\Scripts\activate'
+pip install -r requirements.txt
+```
+
+### Running the App
+
+Execute the Streamlit app with the following command:
+
+```bash
+streamlit run app.py
+```
+
+This will launch a local development server, and you can access the app in your web browser at `http://localhost:8501`.
+
+### Usage
+
+1. Upload an image with trash using the provided file uploader.
+2. The app will display the uploaded image in the left column.
+3. Click the "Classify trash" button to initiate the classification process.
+4. The classified image will be displayed in the right column.
+
+## Dependencies
+
+- Streamlit
+- Pillow
+- Other dependencies as specified in the `requirements.txt` file.