Fix missing sklearn module in miku-bot; upgrade miku-stt to CUDA 12.8.1 + PyTorch 2.7.1

- miku-bot: Re-add scikit-learn to requirements.txt (needed for vision color extraction)
- miku-stt: Upgrade from CUDA 12.6.2 to 12.8.1, PyTorch 2.5.1 to 2.7.1 per RealtimeSTT PR #295
- miku-stt: Use Ubuntu 24.04 with Python 3.12 (single installation, no dual Python)
- miku-stt: Add requirements-gpu-torch.txt for separate PyTorch installation
- miku-stt: Use --break-system-packages flag for Ubuntu 24.04 pip compatibility

stt-realtime/Dockerfile

@@ -1,8 +1,14 @@
 # RealtimeSTT Container
 # Uses Faster-Whisper with CUDA for GPU-accelerated inference
 # Includes dual VAD (WebRTC + Silero) for robust voice detection
+#
+# Updated per RealtimeSTT PR #295:
+# - CUDA 12.8.1 (latest stable)
+# - PyTorch 2.7.1 with cu128 support
+# - Ubuntu 24.04 base
+# - Single Python 3.11 installation
 
-FROM nvidia/cuda:12.6.2-cudnn-runtime-ubuntu22.04
+FROM nvidia/cuda:12.8.1-cudnn-runtime-ubuntu24.04
 
 # Prevent interactive prompts during build
 ENV DEBIAN_FRONTEND=noninteractive
@@ -11,35 +17,23 @@ ENV PYTHONUNBUFFERED=1
 # Set working directory
 WORKDIR /app
 
-# Install system dependencies
+# Install system dependencies (Ubuntu 24.04 has Python 3.12 by default)
 RUN apt-get update && apt-get install -y \
-    python3.11 \
-    python3.11-venv \
-    python3.11-dev \
     python3-pip \
-    build-essential \
     ffmpeg \
     libsndfile1 \
     libportaudio2 \
-    portaudio19-dev \
     git \
     curl \
     && rm -rf /var/lib/apt/lists/*
 
-# Upgrade pip
-RUN python3.11 -m pip install --upgrade pip
+# Install PyTorch with CUDA 12.8 support (installed first for layer caching)
+COPY requirements-gpu-torch.txt .
+RUN python3 -m pip install --break-system-packages --no-cache-dir -r requirements-gpu-torch.txt
 
-# Copy requirements first (for Docker layer caching)
+# Copy and install other Python dependencies
 COPY requirements.txt .
-
-# Install Python dependencies
-RUN python3.11 -m pip install --no-cache-dir -r requirements.txt
-
-# Install PyTorch with CUDA 12.1 support (compatible with CUDA 12.6)
-RUN python3.11 -m pip install --no-cache-dir \
-    torch==2.5.1+cu121 \
-    torchaudio==2.5.1+cu121 \
-    --index-url https://download.pytorch.org/whl/cu121
+RUN python3 -m pip install --break-system-packages --no-cache-dir -r requirements.txt
 
 # Copy application code
 COPY stt_server.py .
@@ -52,7 +46,7 @@ EXPOSE 8766
 
 # Health check - use netcat to check if port is listening
 HEALTHCHECK --interval=30s --timeout=10s --start-period=120s --retries=3 \
-    CMD python3.11 -c "import socket; s=socket.socket(); s.settimeout(2); s.connect(('localhost', 8766)); s.close()" || exit 1
+    CMD python3 -c "import socket; s=socket.socket(); s.settimeout(2); s.connect(('localhost', 8766)); s.close()" || exit 1
 
 # Run the server
-CMD ["python3.11", "stt_server.py"]
+CMD ["python3", "stt_server.py"]

stt-realtime/requirements-gpu-torch.txt

@@ -0,0 +1,5 @@
+# PyTorch with CUDA 12.8 support
+# Updated per RealtimeSTT PR #295 for better performance
+torch==2.7.1+cu128
+torchaudio==2.7.1+cu128
+--index-url https://download.pytorch.org/whl/cu128