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- ---
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- title: DeepFakeDetection
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- emoji: 🚀
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- colorFrom: red
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- colorTo: red
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- sdk: docker
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- app_port: 8501
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- tags:
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- - streamlit
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- pinned: false
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- short_description: Detects StyleGAN and other DIffusion models
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- license: mit
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- ---
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- # Welcome to Streamlit!
 
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- Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
 
 
 
 
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- If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
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- forums](https://discuss.streamlit.io).
 
 
 
 
 
 
 
 
 
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+ # 🧠 DeepFake Detection Demo
 
 
 
 
 
 
 
 
 
 
 
 
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+ This application demonstrates a **CPU-based deepfake detection model**
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+ for deep fake rejection including Style GAN and Diffusion model architectures
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+ ## 🔍 What This Demo Does
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+ - Accepts an uploaded face image
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+ - Classifies it as **Real** or **Fake**
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+ - Displays confidence and probabilities
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+ - Runs entirely on CPU (TorchScript)
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+ ## 🏗 Architecture
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+ - **Model:** Private Hugging Face Model Repository
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+ - **App:** Hugging Face Space (Streamlit)
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+ - **Runtime:** CPU (no GPU required)
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+
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+ ## ⚠️ Further Inquiries
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+ Please feel free to contact uzair.mughal@unikrew.com for any queries or information
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+
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+ ## 📌 Known Limitations
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+ - Further releases will enhance the model for face editing using AI (such as the swapping of a real face on the body of a real person -- much like a photoshop but using AI)