Update README.md

README.md

@@ -11,3 +11,68 @@ license: apache-2.0
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+---
+title: Nutrition Density Prediction App
+emoji: 🍏
+colorFrom: "#4CAF50"
+colorTo: "#8BC34A"
+sdk: gradio
+sdk_version: "3.0.0"
+app_file: app.py
+pinned: false
+---
+
+# Nutrition Density Prediction App
+
+This app predicts the **Nutrition Density** based on 10 selected nutrition features using either the **SVR** (Support Vector Regression) or **Linear Regression** model. The user can interact with the app by adjusting sliders for key nutrition features and selecting a model to predict the Nutrition Density.
+
+## How It Works
+
+1. **Model Selection**: Choose between two models - **SVR** or **Linear Regression**.
+2. **Adjust Nutrition Features**: Adjust the following 10 key nutrition features using sliders:
+   - **Caloric Value**
+   - **Fat**
+   - **Saturated Fats**
+   - **Carbohydrates**
+   - **Sugars**
+   - **Protein**
+   - **Cholesterol**
+   - **Sodium**
+   - **Calcium**
+   - **Iron**
+3. **Prediction**: Once the features are set, click on **"Predict"**. The selected model will calculate and display the Nutrition Density based on the inputs.
+4. **Clear**: Reset the inputs to default values by clicking the **"Clear"** button.
+
+## Deployment on Hugging Face Spaces
+
+This app is deployed on [Hugging Face Spaces](https://huggingface.co/spaces), allowing users to interact with it easily via a web interface.
+
+To use the app, follow these steps:
+
+1. Visit the Hugging Face Spaces page for this app:  
+   [Your Hugging Face Space Link](<Your Space URL>)
+
+2. **Adjust the Sliders**: Choose your desired nutrition values for Caloric Value, Fat, Saturated Fats, Carbohydrates, Sugars, Protein, Cholesterol, Sodium, Calcium, and Iron.
+
+3. **Select the Model**: Choose between **SVR** or **Linear Regression**.
+
+4. **Click "Predict"**: The app will calculate the Nutrition Density based on your selections.
+
+5. **Clear Inputs**: Reset all values to their initial state by clicking the **"Clear"** button.
+
+## How to Run Locally (Optional)
+
+If you'd like to run the app on your local machine, follow these instructions:
+
+### Prerequisites
+
+- Python 3.x
+
+### Installation Steps
+
+1. Clone the repository:
+   ```bash
+   git clone <repository_url>
+   cd <project_directory>
+