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README.md
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The dashboard uses data from: [`hf-azure-internal/trending-models-analysis`](https://huggingface.co/datasets/hf-azure-internal/trending-models-analysis)
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### Dataset Schema
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The `models` section contains the following columns:
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| Column | Type | Description |
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|--------|------|-------------|
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| `id` | string | Model identifier |
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| `trending_rank` | integer | Current trending position |
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| `author` | string | Model author/organization |
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| `tags` | array | Model tags |
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| `license` | string | Model license type |
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| `library_name` | string | Framework used (e.g., transformers, diffusers) |
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| `gated` | boolean | Whether model access is gated |
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| `task` | string | Model task type |
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| `is_in_catalog` | boolean | Whether model is in catalog |
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| `is_custom_code` | boolean | Whether model uses custom code |
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| `is_excluded_org` | boolean | Whether organization is excluded |
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| `is_supported_license` | boolean | Whether license is supported |
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| `is_supported_library` | boolean | Whether library is supported |
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| `is_safetensors` | boolean | Whether model uses safetensors |
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| `is_supported_task` | boolean | Whether task is supported |
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| `is_securely_scanned` | boolean | Whether model is securely scanned |
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| `collected_at` | datetime | Data collection timestamp |
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| `model_status` | string | Status: "to add", "blocked", or "added" |
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## Features
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### User Controls
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- **Date Filter**: Select a specific date to filter models by `collected_at` timestamp
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- **Display Mode**: Choose between two viewing modes:
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- **By Status**: Organize models into three sections based on `model_status`
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- **By Trending Rank**: Display all models sorted by `trending_rank` (ascending)
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### Display Sections
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#### By Status Mode
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Models are organized into three sections:
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- **To Add**: Models with `model_status = "to add"`
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- **Blocked**: Models with `model_status = "blocked"`
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- **Added**: Models with `model_status = "added"`
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#### By Trending Rank Mode
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- Single section displaying all models sorted by `trending_rank`
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### Model Cards
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Each model displays:
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- **Model ID**: Raw value from `id` column
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- **Status Indicators**: Boolean fields shown as emojis
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- π’ Green: `true` values
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- π΄ Red: `false` values
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- Fields: `is_in_catalog`, `is_custom_code`, `is_excluded_org`, `is_supported_license`, `is_supported_library`, `is_safetensors`, `is_supported_task`
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- **Model Status**: Displayed in bold text
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### Interactive Details
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Clicking on any model card reveals additional information:
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- **License Details**: Full license information
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- **Task Information**: Specific task type
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- **Library Details**: Framework/library used
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- **Author Information**: Model author/organization
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## Technical Requirements
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- Will be hosted as a Hugging Face Spaces
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- Interactive web interface
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- Real-time data filtering
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- Smooth animations for detail views
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- Responsive design
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## Development
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This project will be implemented as a Hugging Face Space using:
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- Python backend for data processing
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- Interactive web framework (Gradio/Streamlit)
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- Dataset integration via Hugging Face Hub
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---
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title: Trending Models Dashboard
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emoji: π
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: "4.0.0"
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app_file: app.py
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pinned: true
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---
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