Upload README.md

README.md

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-# DeepFake Detection Model
-
-This repository hosts a **DeepFake Detection Model** deployed using **Streamlit** on Hugging Face Spaces. The model is trained to classify images as **REAL or FAKE** using Convolutional Neural Networks (CNNs).
-
-## 🚀 Live Demo
-Check out the deployed model: [DeepFake Detector on Hugging Face](https://huggingface.co/spaces/your-username/deepfake-detection)
-
-## 📌 Features
-- **Deep Learning-Based Detection**: Uses a pre-trained CNN model to detect DeepFake images.
-- **User-Friendly UI**: Built with Streamlit for a simple and interactive experience.
-- **Easy API Integration**: Allows users to upload images and get predictions.
-
-## 🛠 Installation & Setup
-To run the project locally, follow these steps:
-
-### 1️⃣ Clone the Repository
-git clone https://huggingface.co/spaces/your-username/deepfake-detection
-cd deepfake-detection
-
-### 2️⃣ Install Dependencies
-Ensure you have **Python 3.8+** installed. Install dependencies using:
-pip install -r requirements.txt
-
-### 3️⃣ Run the Application
-streamlit run app.py
-
-## 📁 Project Structure
-```
-📂 deepfake-detection
-├── 📜 app.py             # Main Streamlit app
-├── 📜 requirements.txt   # Dependencies
-├── 📜 README.md          # Documentation
-├── 📜 deep-fake-detection-on-image-fyp.ipynb
-
-## 🧠 Model Details
-- **Model Used**: Xception-based CNN
-- **Input Shape**: (256, 256, 3)
-- **Output**: Binary classification (REAL or FAKE)
-
-## 🖼️ How to Use
-1. Upload an image of a face.
-2. The model will process the image and classify it as **REAL** or **FAKE**.
-3. The result will be displayed on the screen.
-
-## 🌐 Deploying on Hugging Face
-If you want to deploy your own version:
-1. Create a new Space on Hugging Face.
-2. Upload `app.py`, `requirements.txt`, and your model file.
-3. Set the Space **Runtime** to `Streamlit`.
-4. Click **Restart** to launch the app.
-
-## 🤝 Contributing
-Feel free to fork this repository and improve the model! Pull requests are welcome. 😊
-
-## 📜 License
-This project is licensed under the MIT License.
-
-
-Developed by **Muneeb Nadeem** | Contact: [muneebnadeem1870@gmail.com]
+---
+title: "DeepFake Detection"
+emoji: "🕵️‍♂️"
+colorFrom: "blue"
+colorTo: "purple"
+sdk: "streamlit"
+sdk_version: "1.26.0"
+app_file: "app.py"
+pinned: false
+---