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- ---
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- title: FaceSense Live Phase 1
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- emoji: 🧠
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- colorFrom: blue
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- colorTo: green
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- sdk: gradio
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- sdk_version: 5.0.0
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- app_file: app.py
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- pinned: false
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- license: mit
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- ---
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-
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- # FaceSense Live — Phase 1
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-
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- This phase validates the live web app loop:
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-
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- 1. Browser webcam input
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- 2. Server-side frame processing
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- 3. Live face bounding boxes
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- 4. A polished Gradio UI for Hugging Face Spaces
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-
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- Prediction models are intentionally not included yet. After Phase 1 is working, Phase 2 will add expression classification and confidence smoothing.
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-
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- ## Local run
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-
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- ```bash
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- python -m venv .venv
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- source .venv/bin/activate # Windows: .venv\Scripts\activate
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- pip install -r requirements.txt
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- python app.py
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- ```
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-
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- ## Hugging Face Space deployment
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-
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- Create a new Hugging Face Space using the Gradio SDK, then upload these files:
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-
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- - `app.py`
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- - `requirements.txt`
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- - `README.md`
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-
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- After the Space builds, open it and click the webcam recording button.
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-
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- ## Test checklist
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-
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- - The app opens without build errors.
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- - The browser asks for webcam permission.
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- - The webcam stream starts.
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- - A green/cyan face bounding box appears around a frontal face.
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- - The live status card updates with face count and processing time.