Web ui initial commit

.github/workflows/release.yaml

@@ -0,0 +1,51 @@
+name: Build Windows Release
+
+# on:
+#   push:
+#     tags:
+#       - 'v*.*.*'    # tag with vMAJOR.MINOR.PATCH
+
+jobs:
+  build-win:
+    runs-on: windows-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Setup Node
+        uses: actions/setup-node@v4
+        with:
+          node-version: '20'
+
+      - name: Build web
+        working-directory: web
+        run: |
+          npm ci
+          npm run build
+
+      - name: Setup Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.10'
+
+      - name: Install Python deps
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r requirements.txt
+          pip install pyinstaller packaging
+
+      - name: Build exe
+        run: |
+          pyinstaller -y packaging/Umaplay.spec
+
+      - name: Archive artifact
+        shell: pwsh
+        run: |
+          Compress-Archive -Path dist/Umaplay/* -DestinationPath Umaplay-Windows.zip
+
+      - name: Create Release
+        uses: softprops/action-gh-release@v2
+        with:
+          files: Umaplay-Windows.zip
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.gitignore

@@ -40,6 +40,9 @@ datasets/uma/*
 datasets/uma/raw/*
 models/base/*
 
-README.gpu.md
 README.ai.md
 README.train.md
+
+config.json
+build
+dist

README.gpu.md

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+# GPU Setup Guide for PyTorch
+
+If you want to use **GPU acceleration** with PyTorch, follow these steps:
+
+---
+
+## 1. Install CUDA Drivers
+You need an **NVIDIA Graphics Card** and the corresponding CUDA Toolkit.  
+👉 Download here: [CUDA Downloads](https://developer.nvidia.com/cuda-downloads)
+
+Validate your installation by running in CMD:
+
+```bash
+nvcc --version
+nvidia-smi
+```
+
+---
+
+## 2. Uninstall Existing Torch
+
+Remove any previous CPU-only PyTorch installations:
+
+```bash
+pip uninstall torch torchvision torchaudio -y
+```
+
+---
+
+## 3. Reinstall Torch with CUDA Support
+
+Use the [official PyTorch installation guide](https://pytorch.org/get-started/locally/) to find the right command for your CUDA version.
+
+For example, since my CUDA is **12.9**, I installed with:
+
+```bash
+pip install torch torchvision --index-url https://download.pytorch.org/whl/cu129
+```
+
+---
+
+## 4. Validate GPU Availability
+
+Run the following test in Python:
+
+```python
+import torch
+
+print("CUDA available:", torch.cuda.is_available())
+print("Current device:", torch.cuda.current_device() if torch.cuda.is_available() else "CPU")
+print("Device name:", torch.cuda.get_device_name(torch.cuda.current_device()) if torch.cuda.is_available() else "CPU")
+```
+
+If everything is set up correctly, you should see the name of your NVIDIA GPU.
+
+---
+
+## ⚠️ Troubleshooting
+
+Here are some common issues and fixes:
+
+### 🔹 `torch.cuda.is_available()` returns `False`
+
+* Your NVIDIA drivers may be outdated → [Update drivers](https://www.nvidia.com/Download/index.aspx).
+* CUDA Toolkit version doesn’t match the installed PyTorch build.
+  Example: If you installed `cu129` but your drivers only support CUDA 12.2, you’ll get `False`.
+  👉 Run `nvidia-smi` to check the **driver-supported CUDA version**.
+
+### 🔹 `nvcc` not found
+
+* CUDA Toolkit is not in your PATH. Add this to your environment variables:
+
+  ```bash
+  export PATH=/usr/local/cuda/bin:$PATH
+  export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
+  ```
+
+  (For Windows, add `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\vXX.X\bin` to the system PATH.)
+
+### 🔹 `nvidia-smi` not found
+
+* NVIDIA drivers are not installed properly. Reinstall from [NVIDIA Drivers](https://www.nvidia.com/Download/index.aspx).
+
+### 🔹 Python environment conflicts
+
+* Make sure you’re using a clean environment (e.g., `venv` or `conda`) to avoid version clashes.
+* Sometimes you need to uninstall and reinstall again:
+
+  ```bash
+  pip uninstall torch torchvision torchaudio -y
+  pip cache purge
+  pip install torch torchvision --index-url https://download.pytorch.org/whl/cuXXX
+  ```