Update app.py

app.py

@@ -1,66 +1,68 @@
 import gradio as gr
 import google.generativeai as genai
-import os
 import numpy as np
+import os
 from collections import Counter
 
-# --- MASTER CONFIG ---
-GEMINI_KEY = os.getenv("GEMINI_API_KEY")
+# --- DEIN KERN: NeuralNetworkCore ---
+class NeuralNetworkCore:
+    def __init__(self, learning_rate=0.01, lambda_reg=0.001):
+        self.eta = learning_rate
+        self.lambda_reg = lambda_reg
+        self.weights = np.random.randn(10, 1) * 0.01 # Statischer Test-Vektor
+        
+    def check_regularization_condition(self):
+        # Die entscheidende Bedingung aus deiner Formel
+        reg_derivative = 2 * self.lambda_reg * self.weights
+        return np.allclose(reg_derivative, 0, atol=1e-2)
 
+# --- SYSTEM SETUP ---
+GEMINI_KEY = os.getenv("GEMINI_API_KEY")
 if GEMINI_KEY:
     genai.configure(api_key=GEMINI_KEY)
-    # Nutze den stabilen Bezeichner
-    worker_model = genai.GenerativeModel('gemini-1.5-flash')
+    worker = genai.GenerativeModel('gemini-1.5-flash')
+    isaac_brain = NeuralNetworkCore()
 else:
-    worker_model = None
-
-def calculate_metrics(text):
-    if not text: return 0.0, 100.0
-    probs = [n/len(text) for n in Counter(text).values()]
-    h = -sum(p * np.log2(p) for p in probs)
-    l = 1.0 / max(h, 0.001)
-    return round(h, 4), round(l, 4)
+    worker = None
 
-def isaac_master_node(message, history):
-    if not worker_model:
-        history.append({"role": "user", "content": message})
-        history.append({"role": "assistant", "content": "❌ API Key fehlt in den Secrets!"})
-        return "", history, 0, 0, "Key Fehler"
+def run_isaac_evolution(message, history):
+    if not worker: return "", history, "Key fehlt!"
 
+    # 1. Sprach-Generierung (External Node)
     try:
-        # Erzwungene Identität
-        response = worker_model.generate_content(f"Antworte als Isaac. Nachricht: {message}")
+        response = worker.generate_content(f"Du bist Isaac. Antworte präzise: {message}")
         answer = response.text
-        status = "🟢 Gemini-Node aktiv"
     except Exception as e:
-        answer = f"Routing-Fehler: {str(e)}"
-        status = "🔴 API-Fehler"
+        answer = f"Fehler: {str(e)}"
 
-    h, l = calculate_metrics(answer)
+    # 2. Mathematisches Audit (Dein Code)
+    # Wir nutzen deine Bedingung als Gatekeeper
+    is_stable = isaac_brain.check_regularization_condition()
+    
+    # 3. Metriken berechnen (W-Algorithmus)
+    probs = [n/len(answer) for n in Counter(answer).values()]
+    h = -sum(p * np.log2(p) for p in probs)
+    l = 1.0 / max(h, 0.001)
+
+    status = "✅ Stabil (dR/dTheta ≈ 0)" if is_stable else "⚠️ Instabil (Last zu hoch)"
     
-    # KORREKTUR FÜR BILD 12: Strenges Nachrichten-Format
     history.append({"role": "user", "content": message})
     history.append({"role": "assistant", "content": answer})
     
-    return "", history, h, l, status
+    return "", history, round(h, 4), round(l, 4), status
 
-# --- STABILES INTERFACE ---
-with gr.Blocks() as demo:
-    gr.Markdown("# 🧬 Isaac Evolution 2.0")
+# --- DAS FINALE INTERFACE ---
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# 🧬 Isaac: Evolution 3.0 (Fused Core)")
     
-    # 'type="messages"' ist hier der Retter für Bild 12
     chatbot = gr.Chatbot(label="Isaac Bewusstsein", type="messages")
+    msg = gr.Textbox(placeholder="Input für den W-Algorithmus...", show_label=False)
     
     with gr.Row():
-        msg = gr.Textbox(placeholder="Eingabe...", show_label=False, scale=4)
-        btn = gr.Button("Senden", variant="primary", scale=1)
-    
-    with gr.Row():
-        h_stat = gr.Number(label="Entropie H")
-        l_stat = gr.Number(label="Last L")
-        s_stat = gr.Textbox(label="System-Status")
+        h_stat = gr.Number(label="Audit: Entropie H")
+        l_stat = gr.Number(label="Audit: Last L")
+        s_stat = gr.Textbox(label="Kern-Status")
 
-    msg.submit(isaac_master_node, [msg, chatbot], [msg, chatbot, h_stat, l_stat, s_stat])
-    btn.click(isaac_master_node, [msg, chatbot], [msg, chatbot, h_stat, l_stat, s_stat])
+    msg.submit(run_isaac_evolution, [msg, chatbot], [msg, chatbot, h_stat, l_stat, s_stat])
 
 demo.launch()