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README.md
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# Inference Provider Dashboard
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A modern web dashboard built with FastAPI that compares monthly requests between different AI inference providers by scraping data from their HuggingFace profiles.
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## Features
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- **Real-time Data**: Scrapes monthly request statistics from HuggingFace profiles
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- **Beautiful UI**: Modern, responsive dashboard with charts and tables
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- **API Endpoints**: RESTful API for accessing provider data programmatically
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- **Auto-refresh**: Dashboard automatically updates every 5 minutes
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- **Async Performance**: Uses async/await for efficient concurrent data fetching
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## Screenshots
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The dashboard includes:
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- Statistics cards showing total providers, total requests, and top provider
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- Interactive bar chart comparing monthly requests
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- Detailed table with provider information and links to HuggingFace profiles
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## Installation
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1. **Clone or navigate to the project directory**
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2. **Install dependencies**:
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```bash
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pip install -r requirements.txt
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```
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## Usage
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1. **Start the FastAPI server**:
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```bash
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python app.py
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```
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Or using uvicorn directly:
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```bash
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uvicorn app:app --host 0.0.0.0 --port 8000 --reload
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```
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2. **Open your browser and navigate to**:
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```
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http://localhost:8000
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```
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3. **API Endpoints**:
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- `GET /` - Dashboard web interface
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- `GET /api/providers` - Get all providers data
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- `GET /api/providers/{provider}` - Get specific provider data
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## API Examples
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**Get all providers data**:
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```bash
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curl http://localhost:8000/api/providers
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```
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**Get specific provider data**:
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```bash
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curl http://localhost:8000/api/providers/togethercomputer
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```
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## Configuration
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To add more providers, edit the `PROVIDERS` list in `app.py`:
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```python
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PROVIDERS = [
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"togethercomputer",
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"fireworks-ai",
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"your-new-provider",
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]
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```
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## Project Structure
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```
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inference_provider_dashboard/
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βββ app.py # FastAPI application
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βββ templates/
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β βββ dashboard.html # Web dashboard template
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βββ requirements.txt # Python dependencies
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βββ README.md # This file
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```
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## Dependencies
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- **FastAPI**: Modern web framework for building APIs
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- **Uvicorn**: ASGI server for running FastAPI
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- **Jinja2**: Template engine for HTML rendering
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- **aiohttp**: Async HTTP client for concurrent requests
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- **BeautifulSoup4**: HTML parsing for web scraping
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- **Requests**: HTTP library (fallback)
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## Development
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The application uses:
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- Async/await for concurrent HTTP requests
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- Chart.js for interactive visualizations
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- Modern CSS with gradients and animations
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- Responsive design for mobile devices
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## License
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MIT License
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