app.py

#!/usr/bin/env python3
"""Phox Dashboard — Hyperdimensional Engine on HuggingFace Spaces.

Starts the full dashboard HTTP server (port 8765) in a background thread
and serves it via a Gradio iframe so the Space remains sdk=gradio compatible.

Requires: numpy (for hyper_vocab_memory)
"""
import os, sys, threading, time

DASH_PORT = 8765


def start_dashboard():
    os.environ["PHOENIX_PORT"] = str(DASH_PORT)
    sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
    try:
        import phoenix_dashboard as pd
    except ImportError as e:
        print(f"[dashboard] import failed: {e}")
        return
    pd.PORT = DASH_PORT
    try:
        server = pd.Server(("0.0.0.0", DASH_PORT), pd.Handler)
        server.serve_forever()
    except Exception as e:
        print(f"[dashboard] server failed: {e}")


# Start dashboard in background
dash_thread = threading.Thread(target=start_dashboard, daemon=True)
dash_thread.start()
time.sleep(1.5)


# ── Minimal Gradio wrapper (iframe to the dashboard) ──
import gradio as gr

CSS = """
iframe { border: none; width: 100%; height: 100vh; }
.gradio-container { max-width: 100% !important; padding: 0 !important; }
"""

with gr.Blocks(title="Phox — Living Brain", css=CSS,
               head='<meta charset="utf-8">') as demo:
    gr.HTML(f"""<iframe src="http://localhost:{DASH_PORT}"
                  width="100%" height="100%" 
                  style="border:none;position:fixed;top:0;left:0;width:100vw;height:100vh">
                </iframe>""")


if __name__ == "__main__":
    demo.queue().launch(
        server_name="0.0.0.0",
        server_port=int(os.environ.get("GRADIO_SERVER_PORT",
                                       os.environ.get("PORT", 7860))),
        share=False,
    )