Hugging Face's logo

Spaces:
ZahirJS
/
Graphify
Running

App Files Community
ZahirJS commited on
Commit
be24499
·
verified ·
1 Parent(s): 24cd2a2

Update concept_map_generator.py

Browse files
Files changed (1) hide show
  1. concept_map_generator.py +134 -6
concept_map_generator.py CHANGED
@@ -12,9 +12,6 @@ def generate_concept_map(json_input: str) -> str: # Removed base_color parameter
12
  json_input (str): A JSON string describing the concept map structure.
13
  It must follow the Expected JSON Format Example below.
14
 
15
- Returns:
16
- str: The filepath to the generated PNG image file.
17
-
18
  Expected JSON Format Example:
19
  {
20
  "central_node": "Artificial Intelligence (AI)",
@@ -29,8 +26,33 @@ def generate_concept_map(json_input: str) -> str: # Removed base_color parameter
29
  "label": "Deep Learning",
30
  "relationship": "for example",
31
  "subnodes": [
32
- {"id": "cnn_example", "label": "CNNs", "relationship": "for example"},
33
- {"id": "rnn_example", "label": "RNNs", "relationship": "for example"}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
34
  ]
35
  }
36
  ]
@@ -45,13 +67,119 @@ def generate_concept_map(json_input: str) -> str: # Removed base_color parameter
45
  "label": "AGI",
46
  "relationship": "this is",
47
  "subnodes": [
48
- {"id": "strong_ai", "label": "Strong AI", "relationship": "provoked by"}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
49
  ]
50
  }
51
  ]
52
  }
53
  ]
54
  }
 
 
 
55
  """
56
  try:
57
  if not json_input.strip():
 
12
  json_input (str): A JSON string describing the concept map structure.
13
  It must follow the Expected JSON Format Example below.
14
 
 
 
 
15
  Expected JSON Format Example:
16
  {
17
  "central_node": "Artificial Intelligence (AI)",
 
26
  "label": "Deep Learning",
27
  "relationship": "for example",
28
  "subnodes": [
29
+ {
30
+ "id": "cnn_example",
31
+ "label": "CNNs",
32
+ "relationship": "for example"
33
+ },
34
+ {
35
+ "id": "rnn_example",
36
+ "label": "RNNs",
37
+ "relationship": "for example"
38
+ }
39
+ ]
40
+ },
41
+ {
42
+ "id": "rl_branch",
43
+ "label": "Reinforcement Learning",
44
+ "relationship": "for example",
45
+ "subnodes": [
46
+ {
47
+ "id": "qlearning_example",
48
+ "label": "Q-Learning",
49
+ "relationship": "example"
50
+ },
51
+ {
52
+ "id": "pg_example",
53
+ "label": "Policy Gradients",
54
+ "relationship": "example"
55
+ }
56
  ]
57
  }
58
  ]
 
67
  "label": "AGI",
68
  "relationship": "this is",
69
  "subnodes": [
70
+ {
71
+ "id": "strong_ai",
72
+ "label": "Strong AI",
73
+ "relationship": "provoked by",
74
+ "subnodes": [
75
+ {
76
+ "id": "human_intel",
77
+ "label": "Human-level Intel.",
78
+ "relationship": "of"
79
+ }
80
+ ]
81
+ }
82
+ ]
83
+ },
84
+ {
85
+ "id": "ani_type",
86
+ "label": "ANI",
87
+ "relationship": "this is",
88
+ "subnodes": [
89
+ {
90
+ "id": "weak_ai",
91
+ "label": "Weak AI",
92
+ "relationship": "provoked by",
93
+ "subnodes": [
94
+ {
95
+ "id": "narrow_tasks",
96
+ "label": "Narrow Tasks",
97
+ "relationship": "of"
98
+ }
99
+ ]
100
+ }
101
+ ]
102
+ }
103
+ ]
104
+ },
105
+ {
106
+ "id": "ai_capabilities",
107
+ "label": "Capabilities",
108
+ "relationship": "change",
109
+ "subnodes": [
110
+ {
111
+ "id": "data_proc",
112
+ "label": "Data Processing",
113
+ "relationship": "can",
114
+ "subnodes": [
115
+ {
116
+ "id": "big_data",
117
+ "label": "Big Data",
118
+ "relationship": "as",
119
+ "subnodes": [
120
+ {
121
+ "id": "analysis_example",
122
+ "label": "Data Analysis",
123
+ "relationship": "example"
124
+ },
125
+ {
126
+ "id": "prediction_example",
127
+ "label": "Prediction",
128
+ "relationship": "example"
129
+ }
130
+ ]
131
+ }
132
+ ]
133
+ },
134
+ {
135
+ "id": "decision_making",
136
+ "label": "Decision Making",
137
+ "relationship": "can be",
138
+ "subnodes": [
139
+ {
140
+ "id": "automation",
141
+ "label": "Automation",
142
+ "relationship": "as",
143
+ "subnodes": [
144
+ {
145
+ "id": "robotics_example",
146
+ "label": "Robotics",
147
+ "relationship": "Example"},
148
+ {
149
+ "id": "autonomous_example",
150
+ "label": "Autonomous Vehicles",
151
+ "relationship": "of one"
152
+ }
153
+ ]
154
+ }
155
+ ]
156
+ },
157
+ {
158
+ "id": "problem_solving",
159
+ "label": "Problem Solving",
160
+ "relationship": "can",
161
+ "subnodes": [
162
+ {
163
+ "id": "optimization",
164
+ "label": "Optimization",
165
+ "relationship": "as is",
166
+ "subnodes": [
167
+ {
168
+ "id": "algorithms_example",
169
+ "label": "Algorithms",
170
+ "relationship": "for example"
171
+ }
172
+ ]
173
+ }
174
  ]
175
  }
176
  ]
177
  }
178
  ]
179
  }
180
+
181
+ Returns:
182
+ str: The filepath to the generated PNG image file.
183
  """
184
  try:
185
  if not json_input.strip():