chore: hfspaces deployment prep

README.md

@@ -1,81 +1,28 @@
-# Image Detection Bypass Utility
-
-Circumvention of AI Detection — all wrapped in a clean, user-friendly interface.
-
 ---
-
-## Screenshot
-![Screenshot](https://i.imgur.com/Jp9U8Rm.png)
-
-## Features
-- Select input, optional auto white-balance reference, optional FFT reference, and output paths with live previews.
-- **Auto Mode**: one slider to control an expressive preset of postprocess parameters.  
-- **Manual Mode**: full access to noise, CLAHE, FFT, phase perturbation, pixel perturbation, etc.  
-- Camera pipeline simulator: Bayer/demosaic, JPEG cycles/quality, vignette, chromatic aberration, motion blur, hot pixels, read-noise, banding.  
-- Input / output analysis panels (via `AnalysisPanel`) to inspect images before/after processing.  
-- Background worker thread with progress reporting and rich error dialog (traceback viewer).  
-- Graceful handling of `image_postprocess` import errors (shows a critical dialog with the import error).
-
+title: Deepfake Detection Bypass Utility
+emoji: 👁
+colorFrom: red
+colorTo: yellow
+sdk: gradio
+sdk_version: 5.35.0
+app_file: app_gradio.py
+pinned: true
+short_description: Deepfake detection circumvention utility refactored for HF Spaces.
 ---
 
-## Quick start
-
-### ComfyUI Integration
-
-
-Use ComfyUI Manager and install via GitHub link.
-Or manually clone to custom_nodes folder.
-```bash
-git clone https://github.com/PurinNyova/Image-Detection-Bypass-Utility
-```
-then
-```bash
-cd Image-Detection-Bypass-Utility
-pip install -r requirements.txt
-```
-Thanks to u/Race88 for the help on the ComfyUI code.
-
-### Requirements
-- Python 3.8+ recommended  
-- PyPI packages:
-```bash
-pip install pyqt5 pillow numpy matplotlib piexif
-# optional but recommended for color matching / some functionality:
-pip install opencv-python
 
-```
-OR
+# Image Detection Bypass Utility [Gradio Refactor]
 
-```bash
-pip install -r requirements.txt
-```
+Refactored Gradio app for HF Spaces of [Image Detection Bypass](https://github.com/PurinNyova/Image-Detection-Bypass-Utility), self-proclaimed app for the "Circumvention of AI Detection."
 
-### Files expected in the same folder
-- `image_postprocess.py` — your processing logic (export `process_image(...)` or compatible API).  
-- `worker.py` — Worker thread wrapper used to run the pipeline in background.  
-- `analysis_panel.py` — UI widget used for input/output analysis.  
-- `utils.py` — must provide `qpixmap_from_path(path, max_size=(w,h))`.
+Strictly for research purposes -- please refer to the original repository for more in-depth documentation and up-to-date code. 
 
-### Run
-
-```bash
-python run.py
-```
-
-If `image_postprocess` cannot be imported, the GUI will show an error explaining the import failure (see **Troubleshooting** below).
+This refactored repository will not be maintained.
 
 ---
 
-## Using the GUI (at-a-glance)
-1. **Choose Input** — opens file dialog; sets suggested output path automatically.  
-2. *(optional)* **Choose Reference** — used for FFT/color reference (OpenCV-based color match supported).
-3. *(optional)* **Choose Auto White-Balance Reference** — used for auto white-balance correction (applied before CLAHE).
-4. **Choose Output** — where processed image will be written.  
-5. **Auto Mode** — enable for a single slider to control a bundled preset.  
-6. **Manual Mode** — tune individual parameters in the Parameters group.  
-7. **Camera Simulator** — enable to reveal camera-specific controls (Bayer, JPEG cycles, vignette, chroma, etc.).  
-8. Click **Run — Process Image** to start. The GUI disables controls while running and shows progress.  
-9. When finished, the output preview and Output analysis panel update automatically.
+## Screenshot
+<img width="1440" height="2184" alt="image" src="https://github.com/user-attachments/assets/b0ee470b-a46a-44f0-b722-5a66c9bfe83f" />
 
 ---
 
@@ -113,45 +60,7 @@ When you click **Run**, the GUI builds a lightweight argument namespace (similar
 
 ---
 
-## Error handling / UI behavior
-- The GUI uses a `Worker` thread to avoid blocking the UI. Worker emits signals: `started`, `finished(outpath)`, `error(msg, traceback_text)`.  
-- On error, a dialog displays the error message and a full traceback for debugging.  
-- If `image_postprocess` fails to import at startup, a critical dialog shows the exception details; fix the module or dependencies and restart.
-
----
-
-## Development notes
-- **Integrating your pipeline:** make sure `image_postprocess.py` exports a `process_image(inpath, outpath, args)` function (or adapt `worker.py` to match your pipeline signature).  
-- **Analysis panels:** `AnalysisPanel` should provide `update_from_path(path)`; used for both input and output.  
-- **Preview helper:** `utils.qpixmap_from_path` is used to load scaled QPixmap for previews — useful for keeping UI responsive.
-- **Packaging:** If you want a single executable, consider `PyInstaller` (note: include `worker.py`, `analysis_panel.py`, `utils.py`, and the pipeline module).
-
----
-
-## Troubleshooting
-- **ImportError for `image_postprocess`** — ensure `image_postprocess.py` is in the same directory or on `PYTHONPATH`. Also confirm required packages (numpy, Pillow, opencv) are installed. The GUI shows the import error text at startup.  
-- **Previews blank/no image** — check that `qpixmap_from_path` returns a valid QPixmap. The preview widget falls back to `No image` if file missing.  
-- **Processing hangs** — confirm Worker is implemented to emit `finished` or `error`. If your `process_image` blocks indefinitely, the GUI will appear unresponsive (worker runs in background thread but won't return).  
-- **Color matching unavailable** — color matching uses OpenCV; if you did not install `opencv-python`, the GUI will still run, but reference-based color matching will be disabled.
-
----
-
-## Example: minimal `process_image` signature
-```python
-# image_postprocess.py (sketch)
-def process_image(inpath: str, outpath: str, args):
-    # args is a SimpleNamespace with attributes described above
-    # load image (PIL / numpy), run your pipeline, save output
-    pass
-```
-
----
-
-## Contributing
-- PRs welcome. If you modify UI layout or parameter names, keep the `args` mapping consistent or update `README` and `worker.py` accordingly.  
-- Add unit tests for `worker.py` and the parameter serialization if you intend to refactor.
-
-## Gradio / Hugging Face Spaces (Web UI)
+## Gradio / Hugging Face Spaces
 
 This repository includes a lightweight Gradio front-end (`app_gradio.py`) that wraps the existing
 `process_image(inpath, outpath, args)` pipeline. The Gradio app is suitable for local testing and

requirements.txt

@@ -3,4 +3,5 @@ pillow
 numpy
 matplotlib
 piexif
-opencv-python
+opencv-python
+scipy