Test and verify CLI-Jupyter workflow integration

- Successfully tested Jupyter notebook server with ML tools
- Verified all 6 ML tools working: MLflow 3.7.0, Streamlit 1.52.1, Dash 3.3.0, Panel 1.8.4, Bokeh 3.8.1
- MLflow experiment tracking working (created run ID: 25e6b467101845f1ab577c9cfe553c9c)
- CLI integration helper copied to workspace
- Fixed Jupyter permission issues with proper directory setup

podman/workspace/cli_integration.py

@@ -0,0 +1,8 @@
+# CLI-Jupyter Integration Helper
+import subprocess
+import os
+def sync_project(project_path):
+    """Sync project using CLI"""
+    cmd = ["../cli/zig-out/bin/ml", "sync", project_path, "--queue"]
+    result = subprocess.run(cmd, capture_output=True, text=True)
+    return result.returncode == 0