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Revert "update README and app.py for MCP 1st Birthday submission details and features"

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This reverts commit cd3cd19c6a7ed0314863f29ef802eaa51398ef21.

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  1. README.md +2 -7
  2. app.py +2 -22
README.md CHANGED
@@ -9,16 +9,12 @@ app_file: app.py
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  pinned: false
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  license: mit
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  short_description: An agent that extracts data lineage, pipeline dependencies
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- tags:
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- - MCP-1st-Birthday
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  ---
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- # Lineage Graph Accelerator πŸ”₯ #MCP-1st-Birthday
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  A Gradio-based agent that extracts, summarizes, and visualizes data lineage from multiple metadata sources (BigQuery, dbt, Airflow, APIs, and more). Designed as a small, extendable framework of sub-agents that parse metadata, infer relationships, and render clear graph visualizations for exploration and debugging.
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- **Prepared as a submission for the MCP 1st Birthday celebration** β€” see [Hugging Face MCP-1st-Birthday activity](https://huggingface.co/organizations/MCP-1st-Birthday/activity/all).
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-
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  ## Architecture
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  This project is organized as a collection of lightweight sub-agents (workers): a metadata parser, a graph visualizer, and optional integration adapters (BigQuery, URL fetcher, dbt, Airflow). The UI (Gradio) orchestrates these components and displays results as Mermaid diagrams.
@@ -57,8 +53,7 @@ flowchart TD
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  - Mermaid for graph visualizations (client-side)
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  - Langsmith's Agent Builder (used to design and orchestrate the agent/sub-agent structure)
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- This project was prepared as a submission for the [MCP 1st Birthday celebration](https://huggingface.co/organizations/MCP-1st-Birthday/activity/all).
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-
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  ## Quickstart (local)
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  pinned: false
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  license: mit
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  short_description: An agent that extracts data lineage, pipeline dependencies
 
 
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  ---
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+ # Lineage Graph Accelerator πŸ”₯
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  A Gradio-based agent that extracts, summarizes, and visualizes data lineage from multiple metadata sources (BigQuery, dbt, Airflow, APIs, and more). Designed as a small, extendable framework of sub-agents that parse metadata, infer relationships, and render clear graph visualizations for exploration and debugging.
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  ## Architecture
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  This project is organized as a collection of lightweight sub-agents (workers): a metadata parser, a graph visualizer, and optional integration adapters (BigQuery, URL fetcher, dbt, Airflow). The UI (Gradio) orchestrates these components and displays results as Mermaid diagrams.
 
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  - Mermaid for graph visualizations (client-side)
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  - Langsmith's Agent Builder (used to design and orchestrate the agent/sub-agent structure)
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+ This project was prepared as a submission for the MCP 1st Birthday celebration. See the Hugging Face MCP-1st-Birthday activity for context: https://huggingface.co/organizations/MCP-1st-Birthday/activity/all
 
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  ## Quickstart (local)
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app.py CHANGED
@@ -182,36 +182,16 @@ def extract_lineage_from_url(
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  # Create Gradio interface
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  with gr.Blocks(title="Lineage Graph Extractor", theme=gr.themes.Soft()) as demo:
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  gr.Markdown("""
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- # πŸ” Lineage Graph Extractor #MCP-1st-Birthday
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  Extract and visualize data lineage from various metadata sources including BigQuery, dbt, Airflow,
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  APIs, and more. This tool helps you understand complex data relationships through clear graph visualizations.
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- ## About
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-
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- This project was prepared as a submission for the **MCP 1st Birthday celebration**. It demonstrates
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- how modular agent-based architecture (built with **Langsmith's Agent Builder**) can be used to extract
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- and visualize complex data relationships.
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-
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- ### Features
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- - πŸ”— Multi-source metadata ingestion (Text, BigQuery, URLs/APIs)
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- - πŸ€– AI-assisted metadata parsing and relationship extraction (pluggable agent backend)
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- - πŸ“Š Mermaid and DOT visualization support (rendered dynamically in the UI)
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- - 🧩 Lightweight, modular code designed for easy extension and testing
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-
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- ### Built With
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- - **Gradio** β€” Interactive web UI
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- - **Mermaid** β€” Graph visualization (client-side rendering)
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- - **Langsmith's Agent Builder** β€” Agent orchestration and sub-agent design
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- - **Python** β€” Core application logic
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-
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  ## Supported Sources
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- - **Text/File Metadata**: Paste metadata directly (JSON, YAML, SQL, etc.)
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  - **BigQuery**: Query table metadata and relationships
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  - **URLs/APIs**: Fetch metadata from web endpoints
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  - **dbt, Airflow, Snowflake**: Through MCP integration (when configured)
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-
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- Learn more: [MCP 1st Birthday](https://huggingface.co/organizations/MCP-1st-Birthday/activity/all)
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  """)
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  # Load Mermaid.js once (hidden). We set startOnLoad=false and will initialize
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  # individual diagrams after inserting them into the DOM.
 
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  # Create Gradio interface
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  with gr.Blocks(title="Lineage Graph Extractor", theme=gr.themes.Soft()) as demo:
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  gr.Markdown("""
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+ # πŸ” Lineage Graph Extractor
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  Extract and visualize data lineage from various metadata sources including BigQuery, dbt, Airflow,
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  APIs, and more. This tool helps you understand complex data relationships through clear graph visualizations.
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  ## Supported Sources
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+ - **Text/File Metadata**: Paste metadata directly
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  - **BigQuery**: Query table metadata and relationships
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  - **URLs/APIs**: Fetch metadata from web endpoints
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  - **dbt, Airflow, Snowflake**: Through MCP integration (when configured)
 
 
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  """)
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  # Load Mermaid.js once (hidden). We set startOnLoad=false and will initialize
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  # individual diagrams after inserting them into the DOM.