Milliseconds vs seconds

app.py

@@ -12,14 +12,13 @@ MODEL_ID = "Qwen/Qwen2.5-7B-Instruct"
 client_primary = InferenceClient(MODEL_ID, token=HF_TOKEN)
 client_competitor = InferenceClient(MODEL_ID, token=HF_TOKEN)
 
-# 2. THE RESTORED T3 KERNEL (Local Deterministic Logic)
+# 2. THE T3 KERNEL (Local Deterministic Logic)
 class StateController:
     __slots__ = ("_state", "_rom60", "_symbols", "_rendered")
     def __init__(self):
         self._state      = array("B", [0]) * 121
         self._rom60      = tuple(tuple((i * j) % 60 for j in range(60)) for i in range(60))
         self._symbols    = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz01234567"
-        # THE GLYPHS: Restoring the visual grid
         self._rendered   = "".join(" [NODE_120] " if i == 120 else ("<" if i % 10 == 0 else ".") for i in range(121))
 
     def compute_distribution(self, total, nodes) -> str:
@@ -32,24 +31,29 @@ class StateController:
     def get_glyphs(self) -> str:
         return f"Rendering 121-point state array:\n\n{self._rendered}\n\nSystem State: RESOLVED"
 
-    def generate_receipt(self, a, b, c) -> str:
-        idx = (self._rom60[a % 60][b % 60] ^ (c % 60)) % 60
-        return f"0{self._symbols[idx]}"
-
     def validate_receipt(self, receipt, a, b, c) -> str:
-        expected = self.generate_receipt(a, b, c)
+        idx = (self._rom60[a % 60][b % 60] ^ (c % 60)) % 60
+        expected = f"0{self._symbols[idx]}"
         if receipt == expected:
             return f"√ CHECKSUM VALID: Receipt {receipt} verified for allocation ({a}, {b}, {c})."
         return f"× CHECKSUM INVALID: Expected {expected}, received {receipt}."
 
 controller = StateController()
 
-# 3. Core Response Logic (The Local Interceptor)
+# 3. Telemetry Formatter (The Visual Upgrade)
+def format_telemetry(seconds: float) -> str:
+    if seconds < 0.001:
+        return f"{seconds * 1_000_000:.2f} \u03BCs" # Microseconds
+    elif seconds < 1:
+        return f"{seconds * 1_000:.2f} ms"        # Milliseconds
+    else:
+        return f"{seconds:.2f} s"                 # Seconds
+
+# 4. Core Response Logic
 def generate_responses(user_message, p_hist, c_hist):
     msg = user_message.strip()
-    if not msg: yield p_hist, c_hist, ""; return
+    if not msg: yield p_hist or [], c_hist or [], ""; return
 
-    # Correct Gradio 6.5.1 History initialization
     p_hist = p_hist or []
     c_hist = c_hist or []
     p_hist.append({"role": "user", "content": msg})
@@ -60,13 +64,12 @@ def generate_responses(user_message, p_hist, c_hist):
     
     start_time = time.perf_counter()
 
-    # --- THE T3 INTERCEPTORS (100x SPEED BOOST) ---
+    # --- THE T3 INTERCEPTORS (Microsecond Local Path) ---
     dist_match = re.search(r"(\d+)\s+units\s+across\s+(\d+)\s+nodes", msg, re.IGNORECASE)
     diag_match = "diagnostic" in msg.lower() or "grid" in msg.lower()
     rcpt_match = re.search(r"verify receipt\s+([a-zA-Z0-9]{2})\s+for\s+(\d+),\s*(\d+),\s*(\d+)", msg, re.IGNORECASE)
 
     if dist_match or diag_match or rcpt_match:
-        # LOCAL CPU EXECUTION - Bypasses Cloud API
         if dist_match:
             res = controller.compute_distribution(int(dist_match.group(1)), int(dist_match.group(2)))
         elif rcpt_match:
@@ -75,10 +78,10 @@ def generate_responses(user_message, p_hist, c_hist):
             res = controller.get_glyphs()
         
         elapsed = time.perf_counter() - start_time
-        p_hist[-1]["content"] = f"{res}\n\n---\n*Telemetry: {elapsed:.6f}s | Source: LOCAL T3 KERNEL*"
+        p_hist[-1]["content"] = f"{res}\n\n---\n*Telemetry: {format_telemetry(elapsed)} | Source: LOCAL T3 KERNEL*"
         yield p_hist, c_hist, ""
     else:
-        # Cloud API Fallback for non-math text
+        # Cloud API Fallback
         try:
             stream = client_primary.chat_completion(messages=[{"role":"system","content":"T3 Augmented Logic Engine"}] + p_hist[:-1], max_tokens=512, stream=True, temperature=0.1)
             res_text = ""
@@ -86,10 +89,12 @@ def generate_responses(user_message, p_hist, c_hist):
                 res_text += (chunk.choices[0].delta.content or "")
                 p_hist[-1]["content"] = res_text
                 yield p_hist, c_hist, ""
-            p_hist[-1]["content"] += f"\n\n---\n*Telemetry: {time.perf_counter()-start_time:.2f}s | Source: AUGMENTED CLOUD*"
+            elapsed = time.perf_counter() - start_time
+            p_hist[-1]["content"] += f"\n\n---\n*Telemetry: {format_telemetry(elapsed)} | Source: AUGMENTED CLOUD*"
+            yield p_hist, c_hist, ""
         except Exception as e:
             p_hist[-1]["content"] = f"Primary Error: {str(e)}"
-        yield p_hist, c_hist, ""
+            yield p_hist, c_hist, ""
 
     # --- COMPETITOR ENGINE (VANILLA CLOUD) ---
     comp_start = time.perf_counter()
@@ -103,37 +108,27 @@ def generate_responses(user_message, p_hist, c_hist):
             res_text += (chunk.choices[0].delta.content or "")
             c_hist[-1]["content"] = res_text
             yield p_hist, c_hist, ""
-        c_hist[-1]["content"] += f"\n\n---\n*Telemetry: {time.perf_counter()-comp_start:.2f}s | Source: VANILLA CLOUD*"
+        elapsed = time.perf_counter() - comp_start
+        c_hist[-1]["content"] += f"\n\n---\n*Telemetry: {format_telemetry(elapsed)} | Source: VANILLA CLOUD*"
+        yield p_hist, c_hist, ""
     except Exception as e:
         c_hist[-1]["content"] = f"Competitor Error: {str(e)}"
-    
-    yield p_hist, c_hist, ""
+        yield p_hist, c_hist, ""
 
-# 4. Interface Styling (Amber/Orange)
-custom_css = """
-body, .gradio-container { background-color: #110c08 !important; color: #fb923c !important; }
-footer { display: none !important; }
-.message-row { gap: 15px !important; }
-"""
+# 5. Interface Styling
+custom_css = "body, .gradio-container { background-color: #110c08 !important; color: #fb923c !important; } footer { display: none !important; }"
 
 with gr.Blocks() as demo:
     gr.Markdown("# [ GLYPH.IO ]\n### Dual-Engine Hardware Benchmark")
-    
-    # Restoring the Augmented Output window
     p_chat = gr.Chatbot(label="Augmented Logic Kernel (T3 Architecture)", height=350)
-    
     with gr.Row():
-        msg_in = gr.Textbox(label="Message", placeholder="Test math, distribution, or receipt validation...", scale=8)
+        msg_in = gr.Textbox(label="Message", placeholder="Test math/logic tasks...", scale=8)
         btn = gr.Button("Execute", scale=1, variant="primary")
-    
     gr.Examples(examples=["Run grid diagnostic", "Calculate distribution for 120 units across 3 nodes.", "Verify receipt 0e for 60, 30, 30"], inputs=msg_in)
-    
-    # Restoring the Vanilla Output window
     c_chat = gr.Chatbot(label="Vanilla Qwen 2.5 (Standard Infrastructure)", height=350)
 
     msg_in.submit(generate_responses, [msg_in, p_chat, c_chat], [p_chat, c_chat, msg_in])
     btn.click(generate_responses, [msg_in, p_chat, c_chat], [p_chat, c_chat, msg_in])
 
 if __name__ == "__main__":
-    # Theme and CSS passed correctly to launch() to prevent version warnings
     demo.queue().launch(theme=gr.themes.Soft(primary_hue="orange"), css=custom_css)