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GNN interactive GUI for constructing and editing GNN models. Use when building visual model editors, launching the GNN GUI application, or working with the multi-panel GUI system (gui_1, gui_2, gui_3, oxdraw).
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| name | gnn-gui-builder |
| description | GNN interactive GUI for constructing and editing GNN models. Use when building visual model editors, launching the GNN GUI application, or working with the multi-panel GUI system (gui_1, gui_2, gui_3, oxdraw). |
Provides interactive graphical interfaces for constructing, editing, and visualizing GNN models. Includes multiple GUI implementations (gui_1, gui_2, gui_3, oxdraw) with increasing capability levels.
# Launch GUI
python src/22_gui.py --target-dir input/gnn_files --output-dir output --verbose
# As part of pipeline
python src/main.py --only-steps 22 --verbose
from gui import (
process_gui, get_available_guis,
gui_1, gui_2, gui_3, oxdraw_gui,
get_gui_1_info, get_gui_2_info, get_gui_3_info, get_oxdraw_info,
generate_html_navigation,
parse_components_from_markdown, parse_state_space_from_markdown,
add_component_to_markdown, update_component_states,
add_state_space_entry, update_state_space_entry
)
# Process GUI step (used by pipeline)
process_gui(target_dir, output_dir, verbose=True)
# Get available GUIs
guis = get_available_guis()
# Launch specific GUI
gui_1() # Basic
gui_2() # Enhanced
gui_3() # Full-featured
oxdraw_gui() # Graph drawing canvas
# Parse GNN markdown for GUI
components = parse_components_from_markdown(md_content)
state_space = parse_state_space_from_markdown(md_content)
process_gui — main pipeline processing functiongui_1, gui_2, gui_3, oxdraw_gui — GUI launchersget_available_guis — list available GUI implementationsparse_components_from_markdown, parse_state_space_from_markdown — content parsingadd_component_to_markdown, update_component_states — markdown manipulationuv sync --extra gui
output/22_gui_output/This module registers tools with the GNN MCP server (see mcp.py):
get_gui_module_infolist_available_guisprocess_guiGeneralized Notation Notation (GNN) processing pipeline for Active Inference generative models. Use when working with GNN files, running the 25-step pipeline, parsing model specifications, generating simulations, or producing visualizations and reports from GNN model definitions.
GNN command-line interface dispatch and health checks. Use when invoking the `gnn` CLI, validating subcommand availability, or checking command-line access to pipeline modules.
GNN LLM-enhanced analysis and model interpretation. Use when generating natural language descriptions of GNN models, getting AI-assisted model explanations, or performing LLM-powered analysis of Active Inference specifications.
GNN Language Server Protocol integration. Use when starting editor diagnostics, checking hover behavior, or validating LSP support for GNN files.
GNN Model Context Protocol processing and tool registration. Use when registering GNN operations as MCP tools, building MCP server configurations, or integrating GNN capabilities with LLM tool-use workflows.
GNN pipeline orchestration and configuration management. Use when configuring pipeline execution, setting step inclusion/exclusion, managing pipeline state, or customizing the 25-step execution flow.