app.py

import gradio as gr

with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue"), title="Quick Start") as demo:
    gr.Markdown("""
    # 🚀 dispatchAI Quick Start Guide
    
    ## Step 1: Install
    
    ```bash
    pip install dispatchai[gguf]
    ```
    
    ## Step 2: Load a Model
    
    ```python
    from dispatchai import load_model
    model = load_model("SmolLM2-135M-Instruct-mobile", backend="gguf")
    ```
    
    ## Step 3: Chat!
    
    ```python
    print(model.chat("What is the capital of France?"))
    # → "The capital of France is Paris."
    ```
    
    ## Step 4: Find the Right Model
    
    ```python
    from dispatchai import recommend
    rec = recommend(ram_mb=2048, task="chat")
    print(f"Best for 2GB RAM: {rec['recommended']['name']}")
    ```
    
    ## Step 5: Check Savings
    
    ```python
    from dispatchai import calculate_cost
    result = calculate_cost(daily_queries=10000)
    print(f"Save ${result['savings']}/year vs cloud")
    ```
    
    ## Verified Models
    
    - ✅ 31 models fully working
    - ❌ 0 broken
    - ⚠️ 0 partial
    - 📱 3 phone-verified on Snapdragon 865
    
    ## Top 3 Models
    
    | Model | Size | Speed | Phone Speed |
    |-------|------|-------|-------------|
    | SmolLM2-135M | 101MB | 59.7 t/s | 46.0 t/s |
    | Qwen2.5-0.5B-int4 | 469MB | 12.5 t/s | 23.2 t/s |
    | Llama-3.2-1B-Q4 | 770MB | 11.3 t/s | 5.4 t/s |
    
    ## Links
    
    - [All Models](https://huggingface.co/dispatchAI)
    - [SDK](https://huggingface.co/dispatchAI/dispatchAI-SDK)
    - [MCP Hub](https://huggingface.co/spaces/dispatchAI/mcp-hub)
    - [Leaderboard](https://huggingface.co/spaces/dispatchAI/mobile-llm-leaderboard)
    - [Hub](https://huggingface.co/spaces/dispatchAI/hub)
    
    ---
    
    Dispatch AI (FZE) — Sharjah, UAE. License No. 10818.
    
    🚀 [dispatchAI](https://huggingface.co/dispatchAI) — Small. Mobile. Free. UAE-built.
    """)
    demo.launch()