kevinhug commited on
Commit
f4f1a71
·
1 Parent(s): c16e9f5
Files changed (1) hide show
  1. app.py +18 -17
app.py CHANGED
@@ -20,15 +20,29 @@ head = """
20
  """
21
 
22
  with gr.Blocks(head=head) as demo:
23
- with gr.Tab("RAG"):
24
  gr.Markdown("""
25
- Links:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
26
  ------------
27
  - https://huggingface.co/spaces/kevinhug/clientX
28
  - https://kevinwkc.github.io/davinci/
29
- """)
30
-
31
 
 
32
  gr.Markdown("""
33
  Objective: Recommend RBC product based on persona.
34
  ================================================
@@ -62,19 +76,6 @@ Relevant offers encourage repeat visits and build long-term loyalty.
62
 
63
  - Inventory Optimization
64
  Promotes underperforming products or clears surplus stock with strategic recommendations.
65
-
66
- If you're experiencing declining market share or inefficiencies in your operations, here's how I can help:
67
- ==============
68
- Marketing
69
- ------------
70
- - GraphRAG: Models customer-product relationship networks for next-best-action predictions
71
- - DSPy: Optimizes cross-sell/upsell prompt variations through A/B testing
72
-
73
- Risk & Audit
74
- ------------
75
- - GraphRAG: Maps transactional relationships into dynamic knowledge graphs to detect multi-layered fraud patterns
76
- - Tool Use: Integrates fraud detection APIs, anomaly scoring models, and regulatory compliance checkers
77
- - DSPy: Optimizes fraud explanation prompts for regulatory reporting
78
  """)
79
 
80
  with gr.Tab("Tool Use"):
 
20
  """
21
 
22
  with gr.Blocks(head=head) as demo:
23
+ with gr.Tab("Intro"):
24
  gr.Markdown("""
25
+ If you're experiencing declining market share, inefficiencies in your operations, here's how I can help:
26
+ ==============
27
+ Marketing/Client Experience
28
+ ------------
29
+ - GraphRAG: Models customer-product relationship networks for next-best-action predictions
30
+ - DSPy: Optimizes cross-sell/upsell prompt variations through A/B testing
31
+
32
+ Risk & Audit
33
+ ------------
34
+ - GraphRAG: Maps transactional relationships into dynamic knowledge graphs to detect multi-layered fraud patterns
35
+ - Tool Use: Integrates fraud detection APIs, anomaly scoring models, and regulatory compliance checkers
36
+ - DSPy: Optimizes fraud explanation prompts for regulatory reporting
37
+ - Explainable AI: Intuitive visualization to help stakeholder understand model risk and flaw
38
+
39
+ Other Links:
40
  ------------
41
  - https://huggingface.co/spaces/kevinhug/clientX
42
  - https://kevinwkc.github.io/davinci/
43
+ """)
 
44
 
45
+ with gr.Tab("RAG"):
46
  gr.Markdown("""
47
  Objective: Recommend RBC product based on persona.
48
  ================================================
 
76
 
77
  - Inventory Optimization
78
  Promotes underperforming products or clears surplus stock with strategic recommendations.
 
 
 
 
 
 
 
 
 
 
 
 
 
79
  """)
80
 
81
  with gr.Tab("Tool Use"):