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CLAUDE.md

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+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Project Overview
+
+This is a **Test Results Dashboard** project (Tcid) that provides interactive visualization of AI model testing results. The project consists of two main applications:
+
+1. **Gradio Dashboard** (`app.py`) - Python-based web dashboard using Gradio and Matplotlib
+2. **HTML Dashboard** (`index.html`) - Standalone HTML dashboard with Chart.js visualization
+
+Both dashboards display test results for AI models including metrics like passed, failed, skipped, and error counts.
+
+## Architecture
+
+### Core Components
+
+- **app.py**: Main Gradio application with dark theme UI, sidebar navigation, and matplotlib pie charts
+- **model_stats.json**: JSON data file containing test results for different AI models
+- **index.html**: Self-contained HTML dashboard with device-specific performance comparison (NVIDIA vs AMD)
+- **requirements.txt**: Python dependencies (currently only matplotlib>=3.8)
+
+### Data Structure
+
+Model statistics follow this format:
+```json
+{
+    "model_name": {
+        "passed": int,
+        "failed": int, 
+        "skipped": int,
+        "error": int
+    }
+}
+```
+
+The HTML dashboard extends this with device-specific data for NVIDIA and AMD performance comparisons.
+
+## Development Commands
+
+### Environment Setup
+```bash
+# Activate virtual environment
+source venv_tci/bin/activate
+
+# Install dependencies
+pip install -r requirements.txt
+```
+
+### Running the Applications
+
+**Gradio Dashboard:**
+```bash
+python app.py
+```
+
+**HTML Dashboard:**
+Open `index.html` directly in a web browser - no server required.
+
+### Python Environment
+- Python 3.12.4
+- Virtual environment located at `venv_tci/`
+- Dependencies managed via `requirements.txt`
+
+## Key Implementation Details
+
+### Gradio Application (app.py)
+- Uses `MODELS` dictionary for hardcoded test data (lines 8-12)
+- `plot_model_stats()` function generates matplotlib pie charts with dark theme
+- Custom CSS for dark theme styling (lines 77-133)
+- Sidebar navigation with model selection buttons
+- Real-time chart updates on model selection
+
+### Data Management
+- Model data is currently hardcoded in `app.py` 
+- External JSON data file `model_stats.json` exists but is not integrated
+- HTML dashboard has embedded JavaScript data
+
+### Styling
+- Dark theme with black backgrounds (#000000)
+- Custom color scheme: Green (passed), Red (failed), Orange (skipped), Purple (error)
+- Responsive design with sidebar layout
+
+## Hugging Face Spaces Configuration
+
+This project is configured as a Hugging Face Space:
+- SDK: Gradio 5.38.0
+- App file: app.py
+- Space emoji: 👁
+- Color theme: indigo to pink gradient