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Update README.md

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@@ -16,7 +16,7 @@ A lightweight two-agent pipeline using the **Model Context Protocol (MCP)** to l
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- ## 🚀 Features
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  - **ComputeAgent**
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  - Loads any publicly-accessible CSV into a pandas DataFrame
@@ -41,7 +41,7 @@ A lightweight two-agent pipeline using the **Model Context Protocol (MCP)** to l
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- ## 🏗 Architecture
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  1. **MCPMessage**
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  - Typed messages (`request_*`, `*_result`, `ack`, `*_interpretation`, `report_result`)
@@ -59,8 +59,12 @@ A lightweight two-agent pipeline using the **Model Context Protocol (MCP)** to l
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  ---
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  ## 🎛 Usage
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  1. Clone or fork this Space.
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- 2. Ensure your CSV is publicly
 
 
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+ ## Features
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  - **ComputeAgent**
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  - Loads any publicly-accessible CSV into a pandas DataFrame
 
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+ ## Architecture
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  1. **MCPMessage**
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  - Typed messages (`request_*`, `*_result`, `ack`, `*_interpretation`, `report_result`)
 
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  ---
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+ ## Usage
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+
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  ## 🎛 Usage
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  1. Clone or fork this Space.
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+ 2. Ensure your CSV is publicly accessible (e.g., hosted on GitHub, S3, etc.).
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+ 3. In the Gradio UI, paste the CSV URL and click **Run**.
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+ 4. Inspect each output panel—preview, raw metrics, histories, then read the final report summary.
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