Spaces:
Runtime error
Runtime error
File size: 7,441 Bytes
32a5a16 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 |
import gradio as gr
import json
import os
# Load capability registry
def load_registry():
registry_path = os.path.join(os.path.dirname(__file__), '..', 'data', 'capability_registry.json')
with open(registry_path, 'r') as f:
return json.load(f)
registry = load_registry()
capabilities = registry['capabilities']
# Extract unique values for filters
all_categories = sorted(list(set([cap['category'] for cap in capabilities])))
all_spaces = sorted(list(set([space for cap in capabilities for space in cap['used_in_spaces']])))
all_models = sorted(list(set([model for cap in capabilities for model in cap['models']])))
all_datasets = sorted(list(set([dataset for cap in capabilities for dataset in cap['datasets']])))
def search_capabilities(search_text, category_filter, space_filter, model_filter, dataset_filter):
"""Search and filter capabilities based on user inputs"""
filtered_caps = capabilities
# Apply search text filter
if search_text:
search_lower = search_text.lower()
filtered_caps = [
cap for cap in filtered_caps
if search_lower in cap['capability_name'].lower()
or search_lower in cap['category'].lower()
or search_lower in ' '.join(cap['insurance_decisions']).lower()
]
# Apply category filter
if category_filter and category_filter != "All":
filtered_caps = [cap for cap in filtered_caps if cap['category'] == category_filter]
# Apply space filter
if space_filter and space_filter != "All":
filtered_caps = [cap for cap in filtered_caps if space_filter in cap['used_in_spaces']]
# Apply model filter
if model_filter and model_filter != "All":
filtered_caps = [cap for cap in filtered_caps if model_filter in cap['models']]
# Apply dataset filter
if dataset_filter and dataset_filter != "All":
filtered_caps = [cap for cap in filtered_caps if dataset_filter in cap['datasets']]
# Generate HTML output
if not filtered_caps:
return "<div style='padding: 20px; text-align: center;'><h3>No capabilities found matching your criteria.</h3></div>"
html_output = f"<div style='padding: 20px;'><h3>Found {len(filtered_caps)} Capability(ies)</h3>"
for cap in filtered_caps:
html_output += f"""
<div style='border: 1px solid #ddd; border-radius: 8px; padding: 20px; margin: 15px 0; background: #f9f9f9;'>
<h3 style='margin-top: 0; color: #2c3e50;'>🔹 {cap['capability_name']}</h3>
<p><strong>Category:</strong> {cap['category']}</p>
<p><strong>Used in Spaces:</strong> {', '.join(cap['used_in_spaces'])}</p>
<p><strong>Models:</strong> {', '.join(cap['models'])}</p>
<p><strong>Datasets:</strong> {', '.join(cap['datasets'])}</p>
<p><strong>Insurance Decisions:</strong> {', '.join(cap['insurance_decisions'])}</p>
<p><strong>Governance Required:</strong> {'✅ Yes' if cap['governance_required'] else '❌ No'}</p>
</div>
"""
html_output += "</div>"
return html_output
def create_capability_browser():
"""Create the Gradio interface for capability browsing"""
with gr.Blocks(title="BDR Agent Factory - Capability Browser", theme=gr.themes.Soft()) as demo:
gr.Markdown("""
# 🏭 BDR Agent Factory — Capability Browser
**Enterprise Decision Intelligence Architecture for Insurance & Regulated Markets**
Browse and search AI capabilities used across the Bader AI platform. Filter by category, system, model, or dataset to understand how capabilities map to insurance decisions.
""")
with gr.Row():
with gr.Column(scale=2):
search_box = gr.Textbox(
label="🔍 Search Capabilities",
placeholder="Search by capability name, category, or decision...",
lines=1
)
with gr.Row():
category_dropdown = gr.Dropdown(
choices=["All"] + all_categories,
value="All",
label="📂 Filter by Category",
interactive=True
)
space_dropdown = gr.Dropdown(
choices=["All"] + all_spaces,
value="All",
label="🚀 Filter by Space",
interactive=True
)
model_dropdown = gr.Dropdown(
choices=["All"] + all_models,
value="All",
label="🤖 Filter by Model",
interactive=True
)
dataset_dropdown = gr.Dropdown(
choices=["All"] + all_datasets,
value="All",
label="📊 Filter by Dataset",
interactive=True
)
search_button = gr.Button("Search", variant="primary", size="lg")
results_html = gr.HTML(
value=search_capabilities("", "All", "All", "All", "All"),
label="Results"
)
# Set up event handlers
search_button.click(
fn=search_capabilities,
inputs=[search_box, category_dropdown, space_dropdown, model_dropdown, dataset_dropdown],
outputs=results_html
)
# Also trigger search on Enter key in search box
search_box.submit(
fn=search_capabilities,
inputs=[search_box, category_dropdown, space_dropdown, model_dropdown, dataset_dropdown],
outputs=results_html
)
gr.Markdown("""
---
## 📚 Documentation
- **[Overview](https://huggingface.co/spaces/bdr-ai-org/BDR-Agent-Factory/blob/main/docs/00_OVERVIEW.md)**: What is BDR Agent Factory?
- **[Capability Dictionary](https://huggingface.co/spaces/bdr-ai-org/BDR-Agent-Factory/blob/main/docs/01_CAPABILITY_DICTIONARY.md)**: Full catalog of AI capabilities (A–N)
- **[Capability Map](https://huggingface.co/spaces/bdr-ai-org/BDR-Agent-Factory/blob/main/docs/02_CAPABILITY_MAP.md)**: Mappings to systems, models, datasets, decisions
- **[Governance Standards](https://huggingface.co/spaces/bdr-ai-org/BDR-Agent-Factory/blob/main/docs/03_GOVERNANCE.md)**: Unified governance policies
- **[Extension Guide](https://huggingface.co/spaces/bdr-ai-org/BDR-Agent-Factory/blob/main/docs/04_EXTENSION_GUIDE.md)**: How to add new capabilities
## 🔗 Linked Systems
- **[ClaimsGPT](https://huggingface.co/spaces/bdr-ai-org/ClaimsGPT)**: AI-powered claim decision intelligence
- **[FraudSimulator-AI](https://huggingface.co/spaces/bdr-ai-org/FraudSimulator-AI)**: Fraud risk and anomaly detection
- **[AutoRiskScoreEngine](https://huggingface.co/spaces/bdr-ai-org/AutoRiskScoreEngine)**: IFRS-ready underwriting risk assessment
- **[InsuranceKnowledgeAgent](https://huggingface.co/spaces/bdr-ai-org/InsuranceKnowledgeAgent)**: RAG-powered policy knowledge
---
**BDR Agent Factory** — The authoritative capability registry for Bader AI, the GCC Insurance Decision Intelligence Platform.
""")
return demo
if __name__ == "__main__":
demo = create_capability_browser()
demo.launch()
|