app.py

import gradio as gr

with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue"), title="dispatchAI Hub") as demo:
    gr.Markdown("""
    # 🚀 dispatchAI Hub
    
    **Small. Mobile. Free. UAE-built.**
    
    31 verified working models. 0 broken. 0 partial. All tested.
    
    ---
    
    ## 📦 Models (36 total)
    
    | Category | Count | Link |
    |----------|-------|------|
    | Working chat models | 31 | [Browse](https://huggingface.co/dispatchAI) |
    | Embedding models | 2 | [Collection](https://huggingface.co/dispatchAI/collections) |
    | Non-chat (ASR) | 3 | — |
    | Broken | 0 | — |
    
    ## 🎮 Demos
    
    | Demo | Link |
    |------|------|
    | Mobile Chat | [Open](https://huggingface.co/spaces/dispatchAI/mobile-chat-demo) |
    | Mobile Agent (1B) | [Open](https://huggingface.co/spaces/dispatchAI/mobile-agent) |
    | Function Calling | [Open](https://huggingface.co/spaces/dispatchAI/function-calling-agent) |
    | Quant Playground | [Open](https://huggingface.co/spaces/dispatchAI/quant-playground) |
    | Leaderboard | [Open](https://huggingface.co/spaces/dispatchAI/mobile-llm-leaderboard) |
    | Cost Calculator | [Open](https://huggingface.co/spaces/dispatchAI/phone-vs-cloud) |
    | Model Recommender | [Open](https://huggingface.co/spaces/dispatchAI/model-recommender) |
    | GGUF Converter | [Open](https://huggingface.co/spaces/dispatchAI/gguf-converter) |
    | Safety Classifier | [Open](https://huggingface.co/spaces/dispatchAI/mcp-safety-classifier) |
    | Tokenizer Visualizer | [Open](https://huggingface.co/spaces/dispatchAI/tokenizer-visualizer) |
    
    ## 🧰 MCP Tools
    
    ```json
    {"mcpServers":{"dispatchai":{"url":"https://huggingface.co/spaces/dispatchAI/mcp-hub/mcp"}}}
    ```
    
    ## 🔧 SDK
    
    ```bash
    pip install dispatchai
    ```
    
    ```python
    from dispatchai import load_model
    model = load_model("SmolLM2-135M-Instruct-mobile", backend="gguf")
    print(model.chat("What is the capital of France?"))
    ```
    
    ## 📱 Phone-Verified (Snapdragon 865)
    
    | Model | Size | Speed |
    |-------|------|-------|
    | SmolLM2-135M | 101MB | 46.0 t/s |
    | Qwen2.5-0.5B-int4 | 469MB | 23.2 t/s |
    | Llama-3.2-1B-Q4 | 770MB | 5.4 t/s |
    
    ---
    
    Dispatch AI (FZE) — Sharjah, UAE. License No. 10818.
    🌐 [dispatchai.ai](https://www.dispatchai.ai) | 🤗 [huggingface.co/dispatchAI](https://huggingface.co/dispatchAI)
    
    *I think, therefore I ship.*
    """)

demo.launch()