ea4all-gradio-agents-mcp-hackathon-tools-refactoring-overview

app.py

@@ -27,7 +27,6 @@ if __name__ == '__main__':
         os.environ['LANGCHAIN_RUNNAME'] = runname
         os.environ['EA4ALL_ENV'] = ea4all_stage
 
-
     #ea4all-agent-entry-point
     from ea4all.__main__ import main
     main()

ea4all/__main__.py

@@ -11,7 +11,7 @@ def main() -> None:
             ssr_mode=False,
             mcp_server=True,
             inbrowser=os.getenv("GRADIO_INBROWSER", "True").lower() in ("true", "1", "yes"),
-            auth=("ea4all", "ea4a@@"),
+            #auth=("ea4all", "ea4a@@"),
             auth_message="Please login with your credentials. Under development, will be public soon.",
         )
     except Exception as e:

ea4all/ea4all_mcp.py

@@ -40,7 +40,7 @@ from ea4all.utils.utils import (
 TITLE =  """
     # Title
         
-    **Explore, Share, Together:** harness the value of `Enterprise Architecture in the era of Generative AI` to positively impact individuals and organisations.\n
+    **Explore, Share, Together:** harness the value of `Enterprise Architecture in the era of Generative AI` with ready-to-use MCP Tools.\n
 
     ## Overview
     """
@@ -201,13 +201,11 @@ with gr.Blocks(title="Your ArchitectGPT",fill_height=True, fill_width=True) as e
     
     agentic_qna_desc="""
         Hi,
-        improve effieciency, knowledge sharing, and get valuable insights from your IT landscape using natural language.
-        As an Enterprise Architect Agentic System I can answer questions related to Enterprise Architecture, Technology, plus the following IT Landscape sample dataset: """
+        Improve Architect's ability to share knowledge, and provide valuable insights from IT landscape using natural language answering questions related to Enterprise Architecture, Technology, plus the following IT Landscape sample dataset: """
 
     agentic_vqa_desc="""
-    Hi, talk to your Architecture Diagram using natural language. Gain rapid knowledge and insights translating image to meaningful description.
-    **Disclaimer**:
-    - This feature should NOT BE USED to process inappropriate content, but ONLY FOR Architecture Diagrams
+    Hi, 
+    Gain rapid knowledge and insights translating image to meaningful description. 
     """
 
     agentic_togaf_desc="""
@@ -322,29 +320,48 @@ with gr.Blocks(title="Your ArchitectGPT",fill_height=True, fill_width=True) as e
                 )
             gr.Markdown(
                 """
-                    ## Journey
+                - `Empower individuals with Knowledge`: understand and talk about Business and Technology strategy, IT landscape, Architectue Artefacts in a single click of button.
+                - `Increase efficiency and productivity`: generate a documented architecture with diagram, model and descriptions. Accelerate Business Requirement identification and translation to Target Reference Architecture. Automated steps and reduced times for task execution.
+                - `Improve agility`: plan, execute, review and iterate over EA inputs and outputs. Increase the ability to adapt, transform and execute at pace and scale in response to changes in strategy, threats and opportunities.
+                - `Increase collaboration`: democratise architecture work and knowledge with anyone using natural language.
 
-                    Audio overview summarising the key learnings, challenges, so what, stats from day-1 to last sprint. (**Powered by Google NoteBookLM**)
+                ### Knowledge Context
 
+                Synthetic datasets are used to exemplify the Agentic System capabilities.
+
+                ### IT Landscape Question and Answering
+
+                    - Application name
+                        - Business fit: appropriate, inadequate, perfect
+                        - Technical fit: adequate, insufficient, perfect
+                        - Business_criticality: operational, medium, high, critical
+                        - Roadmap: maintain, invest, divers
+                        - Architect responsible
+                        - Hosting: user device, on-premise, IaaS, SaaS
+                        - Business capability
+                        - Business domain
+                        - Description  
+
+                    
+                ### Architecture Diagram Visual Question and Answering
+
+                    - Architecture Visual Artefacts
+                        - jpeg, png
+
+                        **Disclaimer**
+                                - Your data & image are not accessible or shared with anyone else nor used for training purpose.
+                                - EA4ALL-VQA Agent should be used ONLY FOR Architecture Diagram images.
+                                - This feature should NOT BE USED to process inappropriate content.
+
+                ### Reference Architecture Generation
+
+                    - Clock in/out Use-case
                 """
             )
-            podcast = gr.Audio(
-                type="filepath",
-                value=os.path.join(BaseConfiguration.ea4all_store, EA4ALL_PODCAST), 
-                label="EA4ALL Journey Podcast", 
-                show_download_button=False,
-                autoplay=False,
-                container=True,
-                interactive=False,
-            )
-            #gr.Markdown(value=wrapper.click(UIUtils.ea4all_about, show_api=False)) #EXPOSING API /Dependency
 
     #Avoid exposing API /Dependency?
     #dbr_text.change(wrapper1.click(init_dbr,show_api=False)) NOT working
 
-    #Podcast upload progress
-    podcast.change(show_progress='full', show_api=False)
-   
     #Togaf upload file
     #dbr_file.clear(unload_dbr,outputs=dbr_text)
     #dbr_file.change(on_dbrtext,inputs=dbr_file,outputs=dbr_text)

ea4all/ea4all_store/ea4all_overview.txt

@@ -1,27 +1,13 @@
-## Background
-
-- `Trigger`: How disruptive may Generative AI be for Enterprise Architecture Capability (People, Process and Tools)?
-- `Motivation`: Master GenAI while disrupting Enterprise Architecture to empower individuals and organisations with ability to harness EA value and make people lives better, safer and more efficient.
-- `Ability`: Exploit my carrer background and skillset across system development, business accumen, innovation and architecture to accelerate GenAI exploration while learning new things.
-
-> That's how the `EA4ALL-Agentic system` was born and ever since continuously evolving to build an ecosystem of **Architects Agent partners**.
-
-## Benefits
-
 - `Empower individuals with Knowledge`: understand and talk about Business and Technology strategy, IT landscape, Architectue Artefacts in a single click of button.
 - `Increase efficiency and productivity`: generate a documented architecture with diagram, model and descriptions. Accelerate Business Requirement identification and translation to Target Reference Architecture. Automated steps and reduced times for task execution.
 - `Improve agility`: plan, execute, review and iterate over EA inputs and outputs. Increase the ability to adapt, transform and execute at pace and scale in response to changes in strategy, threats and opportunities.
 - `Increase collaboration`: democratise architecture work and knowledge with anyone using natural language.
-- `Cost optimisation`: intelligent allocation of architects time for valuable business tasks.
-- `Business Growth`: create / re-use of (new) products and services, and people experience enhancements.
-- `Resilience`: assess solution are secured by design, poses any risk and how to mitigate, apply best-practices.
-
 
-## Knowledge context
+Knowledge Context
 
 Synthetic datasets are used to exemplify the Agentic System capabilities.
 
-### IT Landscape Question and Answering
+IT Landscape Question and Answering
 
     - Application name
         - Business fit: appropriate, inadequate, perfect
@@ -34,12 +20,8 @@ Synthetic datasets are used to exemplify the Agentic System capabilities.
         - Business domain
         - Description  
 
-    - Bring Your Own Data: upload your own IT landscape data
-        - Application Portfolio Management
-            - xlsx tabular format
-            - first row (header) with fields name (colums)
     
-### Architecture Diagram Visual Question and Answering
+Architecture Diagram Visual Question and Answering
 
     - Architecture Visual Artefacts
         - jpeg, png
@@ -49,48 +31,6 @@ Synthetic datasets are used to exemplify the Agentic System capabilities.
                 - EA4ALL-VQA Agent should be used ONLY FOR Architecture Diagram images.
                 - This feature should NOT BE USED to process inappropriate content.
 
-### Reference Architecture Generation
+Reference Architecture Generation
 
     - Clock in/out Use-case
-
-## Log / Traceability
-
-    For purpose of continuous improvement, agentic workflows are logged in. 
-
-## Architecture
-
-<italic>Core architecture built upon python, langchain, meta-faiss, gradio and Openai.<italic>
-
-    - Python
-        - Pandas
-        - Langchain
-        - Langsmith
-        - Langgraph
-        - Huggingface
-
-    - RAG (Retrieval Augmented Generation)
-        - Vectorstore
-
-    - Prompt Engineering
-        - Strategy & tactics: Task / Sub-tasks
-        - Agentic Workflow
-
-    - Models: 
-        - OpenAI
-        - Llama
-    
-    - Hierarchical-Agent-Teams: 
-        - Tabular-question-answering over your own document
-        - Supervisor
-        - Visual Questions Answering 
-        - Diagram Component Analysis
-        - Risk & Vulnerability and Mitigation options
-        - Well-Architecture Design Assessment
-        - Vision and Target Architecture
-    
-    - User Interface
-        - Gradio
-
-    - Hosting: Huggingface Space
-
-## Agentic System Architecture