Update app.py
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app.py
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# app.py
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import gradio as gr
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import json
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from graphviz import Digraph
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import os
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from tempfile import NamedTemporaryFile
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from sample_data import COMPLEX_SAMPLE_JSON
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def generate_concept_map(json_input: str) -> str:
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"""
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if 'central_node' not in data or 'nodes' not in data:
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raise ValueError("Missing required fields: central_node or nodes")
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# Create graph
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dot = Digraph(
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name='ConceptMap',
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format='png',
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graph_attr={
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'rankdir': 'TB',
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'splines': 'ortho',
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'bgcolor': '
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}
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)
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#
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dot.node(
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'central',
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data['central_node'],
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shape='
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style='filled',
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fillcolor=
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fontcolor='white',
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fontsize='
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)
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#
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#
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# Create main node (rectangle)
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dot.node(
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node_id,
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label,
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shape='box',
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style='filled',
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fillcolor='#4CAF50',
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fontcolor='white',
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fontsize='12'
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)
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)
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sub_label = subnode.get('label')
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sub_rel = subnode.get('relationship')
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if not all([sub_id, sub_label, sub_rel]):
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raise ValueError(f"Invalid subnode: {subnode}")
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dot.node(
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sub_id,
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sub_label,
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shape='box',
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style='filled',
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fillcolor=fill_color,
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fontcolor='white',
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fontsize=str(font_size)
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)
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dot.edge(
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parent_id,
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sub_id,
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label=sub_rel,
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color=edge_color,
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fontsize=str(edge_font_size)
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)
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# Recursively call for deeper levels
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if 'subnodes' in subnode:
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# Slightly adjust colors/sizes for deeper levels if desired
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# For fixed 2 children per parent, you might keep colors consistent per level or vary them.
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# Here, I'll slightly adjust font size for consistency with depth.
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add_subnodes(sub_id, subnode['subnodes'],
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'#FFA726' if font_size > 8 else '#FFCC80', # Lighter orange/yellow for deeper levels
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font_size - 1 if font_size > 7 else font_size,
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'#E91E63' if edge_font_size > 7 else '#FF5252', # Reddish for deeper edges
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edge_font_size - 1 if edge_font_size > 7 else edge_font_size)
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#
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# Save to temporary file
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with NamedTemporaryFile(delete=False, suffix='.png') as tmp:
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demo = gr.Interface(
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fn=generate_concept_map,
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inputs=gr.Textbox(
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value=COMPLEX_SAMPLE_JSON,
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placeholder="Paste JSON following the documented format",
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label="Structured JSON Input",
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lines=25
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@@ -170,8 +168,8 @@ if __name__ == "__main__":
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type="filepath",
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show_download_button=True
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),
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title="
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description="
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)
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demo.launch(
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import gradio as gr
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import json
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from graphviz import Digraph
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import os
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from tempfile import NamedTemporaryFile
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from sample_data import COMPLEX_SAMPLE_JSON # El JSON de ejemplo se mantiene sin cambios
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def generate_concept_map(json_input: str) -> str:
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"""
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if 'central_node' not in data or 'nodes' not in data:
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raise ValueError("Missing required fields: central_node or nodes")
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dot = Digraph(
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name='ConceptMap',
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format='png',
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graph_attr={
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'rankdir': 'TB', # Top-to-Bottom
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'splines': 'ortho', # Straight lines
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'bgcolor': 'white' # Fondo blanco
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}
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)
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# Base color for the central node
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base_color = '#19191a' # Casi negro
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# Central node (now a rounded box)
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dot.node(
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'central',
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data['central_node'],
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shape='box', # Ahora es un rectángulo
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style='filled,rounded', # Redondeado
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fillcolor=base_color, # Color base
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fontcolor='white',
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fontsize='16' # Un poco más grande para el título
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)
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# Helper function to recursively add nodes and edges
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def add_nodes_and_edges(parent_id, nodes_list, current_depth=0):
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# Calculate color for current depth, making it lighter
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# We'll blend towards white based on depth
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# Max depth in your example is 5 (central + 4 levels of nodes)
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# We want colors to get lighter as depth increases
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# Simple linear interpolation for color lightening
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# You can adjust the lightening factor (e.g., 0.15)
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lightening_factor = 0.12 # How much lighter each level gets
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# Convert base_color hex to RGB
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base_r = int(base_color[1:3], 16)
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base_g = int(base_color[3:5], 16)
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base_b = int(base_color[5:7], 16)
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# Calculate current node color
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# Target is white (255, 255, 255)
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current_r = base_r + int((255 - base_r) * current_depth * lightening_factor)
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current_g = base_g + int((255 - base_g) * current_depth * lightening_factor)
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current_b = base_b + int((255 - base_b) * current_depth * lightening_factor)
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# Clamp values to 255
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current_r = min(255, current_r)
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current_g = min(255, current_g)
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current_b = min(255, current_b)
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node_fill_color = f'#{current_r:02x}{current_g:02x}{current_b:02x}'
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# Font color: white for dark nodes, black for very light nodes
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font_color = 'white' if current_depth * lightening_factor < 0.6 else 'black'
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# Edge colors can remain constant or change. Let's make them slightly visible.
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edge_color = '#4a4a4a' # Un gris oscuro para las líneas
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font_size = max(9, 14 - (current_depth * 2)) # Adjust font size based on depth
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edge_font_size = max(7, 10 - (current_depth * 1))
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for node in nodes_list:
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node_id = node.get('id')
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label = node.get('label')
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relationship = node.get('relationship')
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if not all([node_id, label, relationship]):
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raise ValueError(f"Invalid node: {node}")
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dot.node(
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node_id,
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label,
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shape='box', # Rectángulo
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style='filled,rounded', # Redondeado
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fillcolor=node_fill_color,
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fontcolor=font_color,
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fontsize=str(font_size)
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)
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dot.edge(
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parent_id,
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node_id,
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label=relationship,
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color=edge_color,
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fontcolor=edge_color, # Color de la fuente de la arista también gris
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fontsize=str(edge_font_size)
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)
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if 'subnodes' in node:
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add_nodes_and_edges(node_id, node['subnodes'], current_depth + 1)
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# Start processing from the top-level nodes connected to the central node
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add_nodes_and_edges('central', data.get('nodes', []), current_depth=1) # Initial depth is 1 for nodes under central
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# Save to temporary file
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with NamedTemporaryFile(delete=False, suffix='.png') as tmp:
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demo = gr.Interface(
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fn=generate_concept_map,
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inputs=gr.Textbox(
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value=COMPLEX_SAMPLE_JSON,
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placeholder="Paste JSON following the documented format",
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label="Structured JSON Input",
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lines=25
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type="filepath",
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show_download_button=True
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),
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title="AI Concept Map (Custom Style)",
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description="Generates an AI concept map with custom rounded boxes, color gradient, and white background."
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)
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demo.launch(
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