Update app.py

app.py

@@ -1,44 +1,74 @@
+import gradio as gr
+import json
 import os
-import httpx
-from fastapi import FastAPI, HTTPException
-from fastapi.responses import HTMLResponse
-from fastapi.staticfiles import StaticFiles
-from fastapi.middleware.cors import CORSMiddleware
-from dotenv import load_dotenv
+from defrag_engine import DefragDeepCompute
 
-load_dotenv()
+# Initialize Engine
+engine = DefragDeepCompute()
 
-app = FastAPI(title="DEFRAG.APP // CORE_SYSTEM")
+# --- THE LOGIC ---
+def process_defrag(name, dob, time, city, user_input):
+    soul_log = engine.run_deep_compute(name, dob, time, city, user_input)
+    vector = soul_log['computed_vector']
+    numerology_day = soul_log['weather']['hexagram']['gate']
+    system_status = "SYSTEM ALERT: " + vector['friction_level']
+    mechanics_text = f"""
+> LOG_ID: {soul_log['timestamp']}
+> ASTRO_WEATHER: {soul_log['weather']['astro']['dominant_element'].upper()} Dominance
+> NUMEROLOGY: Personal Day {soul_log['hardware']['numerology']['personal_day']}
+> HEXAGRAM: Gate {soul_log['weather']['hexagram']['gate']} Active
 
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
+ANALYSIS:
+User is attempting to process '{user_input}' while in a Personal Day {soul_log['hardware']['numerology']['personal_day']} cycle. 
+Mechanical friction detected in the {soul_log['weather']['astro']['dominant_element']} sector.
+    """
+    vector_text = f"VECTOR: Stabilize {soul_log['weather']['astro']['dominant_element']} elements. Do not initiate action until Gate {numerology_day} transit clears."
+    visual_args = [
+        vector['visual_code'],
+        vector['visual_seed'],
+        vector['visual_element'],
+        0.3 if vector['friction_level'] == "CRITICAL" else 1.0
+    ]
+    return visual_args, system_status, mechanics_text, vector_text
 
-if os.path.exists("assets"):
-    app.mount("/assets", StaticFiles(directory="assets"), name="assets")
-
-@app.get("/api/get-signed-url")
-async def get_signed_url():
-    ELEVENLABS_API_KEY = os.environ.get("ELEVENLABS_API_KEY")
-    AGENT_ID = "agent_4101kfyny563e168da90yze4vva4" 
-    
-    if not ELEVENLABS_API_KEY:
-        raise HTTPException(status_code=500, detail="ELEVENLABS_API_KEY not found")
-
-    async with httpx.AsyncClient() as client:
-        url = f"https://api.elevenlabs.io/v1/convai/conversation/get_signed_url?agent_id={AGENT_ID}"
-        response = await client.get(url, headers={"xi-api-key": ELEVENLABS_API_KEY})
-        return response.json()
-
-@app.get("/", response_class=HTMLResponse)
-async def serve_dashboard():
-    with open("index.html", "r") as f:
-        return f.read()
+# --- THE INTERFACE ---
+with gr.Blocks(theme=gr.themes.Monochrome(), title="DEFRAG // OMNI-NODE") as demo:
+    gr.Markdown("# DEFRAG // OMNI-NODE")
+    gr.Markdown("> DETERMINISTIC CONSCIOUSNESS ENGINE v1.0")
+    with gr.Row():
+        with gr.Column(scale=1):
+            gr.Markdown("### // SYSTEM PROFILE")
+            with gr.Row():
+                name_in = gr.Textbox(label="User ID", value="User_01")
+                dob_in = gr.Textbox(label="DOB (YYYY-MM-DD)", value="1990-01-01")
+            with gr.Row():
+                time_in = gr.Textbox(label="Time (HH:MM)", value="12:00")
+                city_in = gr.Textbox(label="Location", value="Los Angeles")
+            gr.Markdown("### // DIAGNOSTIC INPUT")
+            input_text = gr.Textbox(label="Input System Status", placeholder="Describe the interference...", lines=4)
+            btn_scan = gr.Button("EXECUTE DEFRAG", variant="primary")
+        with gr.Column(scale=1):
+            with open("mandala_component.html", "r") as f:
+                html_code = f.read()
+            mandala_display = gr.HTML(value=html_code)
+            js_bridge = """
+            (args) => {
+                if (window.hexa) {
+                    window.hexa.updateParams(args[0], args[1], args[2], args[3]);
+                }
+                return args;
+            }
+            """
+            status_out = gr.Textbox(label="SYSTEM STATUS", interactive=False)
+            mech_out = gr.TextArea(label="MECHANICS LOG", interactive=False)
+            vector_out = gr.Textbox(label="VECTOR DIRECTIVE", interactive=False)
+            visual_data = gr.JSON(visible=False)
+    btn_scan.click(
+        fn=process_defrag,
+        inputs=[name_in, dob_in, time_in, city_in, input_text],
+        outputs=[visual_data, status_out, mech_out, vector_out]
+    )
+    visual_data.change(None, [visual_data], None, js=js_bridge)
 
 if __name__ == "__main__":
-    import uvicorn
-    uvicorn.run(app, host="0.0.0.0", port=7860)
+    demo.launch()