Update README.md

README.md

@@ -8,5 +8,51 @@ sdk_version: 1.40.1
 app_file: app.py
 pinned: false
 ---
+# **Car Search Engine Based on LSI (Latent Semantic Indexing)**
+
+## **Description**
+This interactive search engine uses the **LSI (Latent Semantic Indexing)** algorithm to search for cars based on keywords provided by the user. It is designed to explore a car dataset and display the most relevant results based on the search query.
+
+The application presents results in card format, including details such as the car model, year, price, and a link for more information.
+
+---
+
+## **Features**
+- Search for cars using keywords (e.g., "Peugeot Diesel Manual").
+- Displays relevant results using advanced natural language processing techniques.
+- Interactive user interface developed with **Streamlit**.
+- Results pagination with cards.
+
+---
+
+## **How to Use the Application**
+1. Enter your search query in the input field.
+2. Use the slider to set the number of results to display per page.
+3. Click on the **Search** button.
+4. Navigate between result pages using the **Previous Page** and **Next Page** buttons.
+
+---
+
+## **Installation and Dependencies**
+To run this application locally, you will need **Python** and the following libraries:
+- **Streamlit**: For the user interface.
+- **scikit-learn**: For LSI algorithms and similarity calculations.
+- **pandas**: For dataset manipulation.
+
+### **Installation Steps**
+1. Clone the repository:
+   ```bash
+   git clone https://huggingface.co/spaces/sanaa-11/LSI
+   cd your-app-repository
+   
+2-Install the required dependencies:
+```bash
+
+pip install -r requirements.txt
+
+3 - Run the application:
+
+```bash
+streamlit run app.py
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference