Devcontainer setup

.devcontainer/Dockerfile

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+FROM ubuntu:22.04
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Install system dependencies (no Ollama needed - using separate container)
+RUN apt-get update && apt-get install -y \
+    python3 \
+    python3-pip \
+    python3-dev \
+    curl \
+    wget \
+    git \
+    sudo \
+    xvfb \
+    x11vnc \
+    fluxbox \
+    novnc \
+    websockify \
+    firefox \
+    python3-tk \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# Create user vscode
+RUN useradd -m -s /bin/bash vscode && \
+    usermod -aG sudo vscode && \
+    echo "vscode ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers
+
+WORKDIR /workspace
+RUN chown vscode:vscode /workspace
+
+USER vscode
+
+# Install pip
+RUN python3 -m pip install --user --upgrade pip
+
+ENV PATH="/home/vscode/.local/bin:$PATH"
+ENV DISPLAY=:1
+
+# Copy startup script and make it executable
+COPY --chown=vscode:vscode start-services.sh /home/vscode/start-services.sh
+USER root
+RUN chmod +x /home/vscode/start-services.sh
+USER vscode
+
+CMD ["/bin/bash", "/home/vscode/start-services.sh"]

.devcontainer/Dockerfile.simple

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+FROM ubuntu:22.04
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Install dependencies
+RUN apt-get update && apt-get install -y \
+    python3 \
+    python3-pip \
+    curl \
+    wget \
+    git \
+    sudo \
+    xvfb \
+    x11vnc \
+    fluxbox \
+    novnc \
+    websockify \
+    firefox \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install Ollama
+RUN curl -fsSL https://ollama.ai/install.sh | sh
+
+# Create user
+RUN useradd -m -s /bin/bash vscode && \
+    usermod -aG sudo vscode && \
+    echo "vscode ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers
+
+WORKDIR /workspace
+RUN chown vscode:vscode /workspace
+
+USER vscode
+RUN python3 -m pip install --user --upgrade pip
+
+ENV PATH="/home/vscode/.local/bin:$PATH"
+
+# Simple startup script
+RUN echo '#!/bin/bash\n\
+echo "🎬 Starting YouTube Video Classifier..."\n\
+Xvfb :1 -screen 0 1920x1080x24 &\n\
+sleep 2\n\
+export DISPLAY=:1\n\
+fluxbox &\n\
+x11vnc -display :1 -nopw -listen localhost -quiet &\n\
+/usr/share/novnc/utils/launch.sh --vnc localhost:5900 --listen 6080 &\n\
+echo "🖥️  GUI: http://localhost:6080/vnc.html"\n\
+ollama serve &\n\
+echo "⏳ Starting Ollama..."\n\
+sleep 10\n\
+echo "📥 Pulling model..."\n\
+ollama pull qwen2.5vl:7b\n\
+echo "✅ Ready! Use: python test_ollama.py"\n\
+exec sleep infinity\n' > /home/vscode/start-simple.sh && \
+    chmod +x /home/vscode/start-simple.sh
+
+CMD ["/bin/bash"]

.devcontainer/README.md

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+# Dev Container Setup 🐳
+
+## ⚠️ Quick Fix for the Error
+
+The dev container failed due to a Docker Compose syntax error. This has been **fixed**! 
+
+## <20> Try Again
+
+1. **Close VS Code completely**
+2. **Reopen the project**: `code .`
+3. **Reopen in Container**: `Cmd/Ctrl + Shift + P` → "Dev Containers: Reopen in Container"
+
+The container should now build successfully!
+
+## 📋 Alternative Setup Options
+
+If you still have issues, try these alternatives:
+
+### Option 1: Simple Dev Container
+```bash
+# Rename the alternative config
+cd .devcontainer
+mv devcontainer.json devcontainer-compose.json
+mv devcontainer-simple.json devcontainer.json
+
+# Then reopen in VS Code
+```
+
+### Option 2: Manual Docker Setup
+```bash
+# Build and run manually
+cd .devcontainer
+docker build -t youtube-classifier .
+docker run -it --rm -p 11434:11434 -p 6080:6080 -v $(pwd)/..:/workspace youtube-classifier
+```
+
+### Option 3: Local Installation
+Use the main project's `setup.sh` script instead.
+
+## 🔧 What Was Fixed
+
+- **Docker Compose syntax error**: Removed extra colon in volumes section
+- **Simplified configuration**: Reduced complexity to improve reliability
+- **Better error handling**: More robust startup script
+
+## 📖 Once Running
+
+After the container starts successfully:
+
+1. **Wait for setup** (~5-10 minutes first time)
+2. **Access GUI**: http://localhost:6080/vnc.html
+3. **Test setup**: `python test_ollama.py`
+4. **Run demo**: `python demo_classification.py`
+5. **Start classifying**: `python script.py`
+
+## <20> Still Having Issues?
+
+1. **Clean Docker**: `docker system prune -a`
+2. **Update VS Code**: Make sure you have the latest Dev Containers extension
+3. **Check Docker**: Ensure Docker Desktop is running
+4. **Try simple version**: Use `devcontainer-simple.json` instead
+
+---
+
+**The main issue has been fixed - try reopening in container now! <20>**

.devcontainer/devcontainer-simple.json

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+{
+  "name": "YouTube Video Classifier (Simple)",
+  "build": {
+    "dockerfile": "Dockerfile.simple"
+  },
+  "workspaceFolder": "/workspace",
+  "workspaceMount": "source=${localWorkspaceFolder},target=/workspace,type=bind,consistency=cached",
+  
+  "customizations": {
+    "vscode": {
+      "extensions": [
+        "ms-python.python"
+      ],
+      "settings": {
+        "python.defaultInterpreterPath": "/usr/bin/python3"
+      }
+    }
+  },
+
+  "forwardPorts": [11434, 6080],
+  
+  "postCreateCommand": "pip install --user -r requirements.txt && echo 'Run: bash /home/vscode/start-simple.sh to start services'",
+
+  "remoteUser": "vscode"
+}

.devcontainer/devcontainer.json

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+{
+  "name": "YouTube Video Classifier",
+  "dockerComposeFile": "docker-compose.yml",
+  "service": "youtube-classifier",
+  "workspaceFolder": "/workspace",
+  "shutdownAction": "stopCompose",
+
+  "customizations": {
+    "vscode": {
+      "extensions": [
+        "ms-python.python",
+        "ms-python.pylint"
+      ],
+      "settings": {
+        "python.defaultInterpreterPath": "/usr/bin/python3",
+        "terminal.integrated.defaultProfile.linux": "bash"
+      }
+    }
+  },
+
+  "forwardPorts": [11434, 6080],
+  
+  "postCreateCommand": "pip install --user -r requirements.txt && sh /home/vscode/start-services.sh",
+
+  "remoteUser": "vscode"
+}

.devcontainer/docker-compose.yml

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+services:
+  youtube-classifier:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    volumes:
+      - ../:/workspace:cached
+    ports:
+      - "6080:6080"
+    environment:
+      - DISPLAY=:1
+      - OLLAMA_HOST=http://ollama:11434
+    depends_on:
+      - ollama
+    stdin_open: true
+    tty: true
+    command: sleep infinity
+
+  ollama:
+    image: ollama/ollama:latest
+    volumes:
+      - ollama-data:/root/.ollama
+    ports:
+      - "11434:11434"
+    environment:
+      - OLLAMA_HOST=0.0.0.0
+    restart: unless-stopped
+
+volumes:
+  ollama-data:

.devcontainer/entrypoint.sh

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+#!/bin/bash
+
+# Start VNC server for GUI access
+echo "Starting VNC server..."
+Xvfb :1 -screen 0 1920x1080x24 > /dev/null 2>&1 &
+sleep 2
+
+export DISPLAY=:1
+
+# Start window manager
+fluxbox > /dev/null 2>&1 &
+
+# Start VNC server
+x11vnc -display :1 -nopw -listen localhost -xkb -ncache 10 -ncache_cr -quiet > /dev/null 2>&1 &
+
+# Start noVNC
+/usr/share/novnc/utils/launch.sh --vnc localhost:5900 --listen 6080 > /dev/null 2>&1 &
+
+echo "🖥️  GUI available at: http://localhost:6080/vnc.html"
+
+# Start Ollama
+echo "🤖 Starting Ollama..."
+ollama serve > /dev/null 2>&1 &
+
+# Wait for Ollama to be ready
+echo "⏳ Waiting for Ollama to start..."
+sleep 15
+
+# Pull the required model
+echo "📥 Pulling qwen2.5vl:7b model (this may take a while)..."
+ollama pull qwen2.5vl:7b
+
+# Test setup
+echo "🧪 Testing setup..."
+cd /workspace
+python test_ollama.py
+
+echo "✅ Container setup complete!"
+echo ""
+echo "🎬 YouTube Video Classifier is ready!"
+echo "📖 Available commands:"
+echo "   python test_ollama.py           # Test Ollama setup"
+echo "   python demo_classification.py   # Run classification demo"
+echo "   python script.py               # Run main classifier"
+echo "   python playlist_manager.py --help  # Manage classifications"
+echo ""
+echo "🖥️  Access GUI at: http://localhost:6080/vnc.html"
+echo "🤖 Ollama API at: http://localhost:11434"
+
+# Keep container running
+sleep infinity

.devcontainer/start-services.sh

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+#!/bin/bash
+
+echo "🎬 YouTube Video Classifier Dev Container"
+echo "========================================"
+
+# Install Python dependencies if not already installed
+if [ -f "/workspace/requirements.txt" ]; then
+    echo "📦 Installing Python dependencies..."
+    cd /workspace
+    pip install --user -r requirements.txt
+fi
+
+# Start display server
+echo "🖥️  Starting display server..."
+Xvfb :1 -screen 0 1920x1080x24 > /dev/null 2>&1 &
+sleep 2
+export DISPLAY=:1
+
+# Start window manager
+fluxbox > /dev/null 2>&1 &
+
+# Start VNC
+x11vnc -display :1 -nopw -listen localhost -xkb -ncache 10 -ncache_cr -quiet > /dev/null 2>&1 &
+
+# Start noVNC
+/usr/share/novnc/utils/launch.sh --vnc localhost:5900 --listen 6080 > /dev/null 2>&1 &
+
+echo "🖥️  GUI available at: http://localhost:6080/vnc.html"
+
+# Wait for Ollama container to be ready
+echo "⏳ Waiting for Ollama container to start..."
+for i in {1..30}; do
+    if curl -s http://ollama:11434/api/tags > /dev/null 2>&1; then
+        echo "✅ Ollama container is ready!"
+        break
+    fi
+    echo "   Attempt $i/30 - waiting for Ollama..."
+    sleep 2
+done
+
+# Pull the required model
+echo "📥 Pulling qwen2.5vl:7b model (this may take a while)..."
+curl -X POST http://ollama:11434/api/pull -d '{"name":"qwen2.5vl:7b"}' > /dev/null 2>&1 &
+
+echo "✅ Setup complete!"
+echo ""
+echo "🎬 YouTube Video Classifier is ready!"
+echo "📖 Available commands:"
+echo "   python test_ollama.py           # Test Ollama setup"
+echo "   python demo_classification.py   # Run classification demo"
+echo "   python script.py               # Run main classifier"
+echo ""
+echo "🖥️  Access GUI at: http://localhost:6080/vnc.html"
+echo "🤖 Ollama API at: http://localhost:11434 (via ollama container)"
+echo ""
+echo "💡 Note: Model download happens in background"
+echo "   Check status with: curl http://ollama:11434/api/tags"
+
+# Keep container running
+exec sleep infinity