File size: 4,584 Bytes
7c43635 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 |
import gradio as gr
import json
from graphviz import Digraph
import os
from typing import Dict, Any
def generate_concept_map(json_input: str) -> str:
"""
Generates a concept map from structured JSON
Args:
json_input (str): JSON describing the concept map structure.
Required format:
{
"central_node": "Main concept",
"nodes": [
{
"id": "unique_identifier",
"label": "Node label",
"relationship": "Relationship to parent",
"subnodes": [...] # Optional
}
]
}
Returns:
str: Image URL (compatible with Hugging Face Spaces)
Raises:
ValueError: If JSON doesn't meet required format
"""
try:
# Validate input
if not json_input.strip():
return "Error: Empty input"
data = json.loads(json_input)
# Validate basic structure
if 'central_node' not in data or 'nodes' not in data:
raise ValueError("Missing required fields: central_node or nodes")
# Create graph
dot = Digraph(
name='ConceptMap',
format='png',
graph_attr={
'rankdir': 'TB',
'splines': 'ortho',
'bgcolor': 'transparent'
}
)
# Central node
dot.node(
'central',
data['central_node'],
shape='ellipse',
style='filled',
fillcolor='#2196F3',
fontcolor='white',
fontsize='14'
)
# Process nodes
for node in data['nodes']:
node_id = node.get('id')
label = node.get('label')
relationship = node.get('relationship')
# Validate node
if not all([node_id, label, relationship]):
raise ValueError(f"Invalid node: {node}")
# Create main node
dot.node(
node_id,
label,
shape='box',
style='filled',
fillcolor='#4CAF50',
fontcolor='white',
fontsize='12'
)
# Connect to central node
dot.edge(
'central',
node_id,
label=relationship,
color='#9C27B0',
fontsize='10'
)
# Process subnodes
for subnode in node.get('subnodes', []):
sub_id = subnode.get('id')
sub_label = subnode.get('label')
sub_rel = subnode.get('relationship')
if not all([sub_id, sub_label, sub_rel]):
raise ValueError(f"Invalid subnode: {subnode}")
dot.node(
sub_id,
sub_label,
shape='diamond',
style='filled',
fillcolor='#FF5722',
fontcolor='white',
fontsize='10'
)
dot.edge(
node_id,
sub_id,
label=sub_rel,
color='#E91E63',
fontsize='8'
)
# Save image
filename = f"/tmp/concept_map_{hash(json_input)}.gv"
dot.render(filename, format='png', cleanup=True)
# Return Hugging Face compatible URL
return f"/file={filename}.png"
except json.JSONDecodeError:
return "Error: Invalid JSON"
except Exception as e:
return f"Error: {str(e)}"
if __name__ == "__main__":
demo = gr.Interface(
fn=generate_concept_map,
inputs=gr.Textbox(
placeholder="Paste structured JSON here...",
label="JSON Input",
lines=15
),
outputs=gr.Textbox(
label="Image URL",
placeholder="Concept map URL will be generated here"
),
title="Concept Map Generator",
description="Create concept maps from JSON (Claude compatible)"
)
# Hugging Face Spaces configuration
demo.launch(
mcp_server=True,
share=False,
server_port=int(os.getenv('PORT', 7860)),
server_name="0.0.0.0"
) |