new name speeded up

app.py

@@ -2,76 +2,77 @@ import gradio as gr
 from huggingface_hub import InferenceClient
 import os
 
-# 1. Grab your Hugging Face Token (No Meta/Kimi gates)
 HF_TOKEN = os.getenv("HF_TOKEN")
-
-# 2. Connect to Zephyr-7B (Fast, reliable, ungated)
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta", token=HF_TOKEN)
 
-# 3. YOUR CUSTOM SUMERIAN KERNEL LOGIC
-class SumerianKernel:
+class StateController:
     def __init__(self):
-        self.territory = [0] * 121
-        self.base = 60
-        self.chevron_val = 10
-        self.ram = {}
+        self.state_array = [0] * 121
+        self.base_metric = 60
+        self.batch_unit = 10
+        self.memory_register = {}
 
-    def define_span(self):
+    def initialize_grid(self):
         for i in range(51):
-            self.territory[i] = {"Chevrons": i // self.chevron_val, "Units": i % self.chevron_val}
-        return "Tension Span Set: 5 Chevrons Active."
+            self.state_array[i] = {"Blocks": i // self.batch_unit, "Units": i % self.batch_unit}
+        return "Grid initialized: 5 active blocks."
 
-    def gpu_render(self):
-        grid = ""
+    def render_grid(self):
+        grid_output = ""
         for i in range(121):
-            if i == 120: grid += " [FORK_HANDLE] "
-            elif i % 10 == 0: grid += "<"
-            else: grid += "."
-        return grid
+            if i == 120:
+                grid_output += " [NODE_120] "
+            elif i % 10 == 0:
+                grid_output += "<"
+            else:
+                grid_output += "."
+        return grid_output
 
-    def apply_orthogonal_rip(self):
-        self.ram["STATE"] = "RESOLVED"
-        self.territory = [0] * 121
-        return "RESULT: E=mc^2 Resolved. Tension Erased. Span is Zero."
+    def resolve_grid(self):
+        self.memory_register["STATUS"] = "RESOLVED"
+        self.state_array = [0] * 121
+        return "System resolved. State array reset to zero."
 
-# 4. The T3Sam3 Chat Router
-def samaran_kernel_chat(message, history):
-    # HARDWARE OVERRIDE: If you type "run sumerian", it executes your literal Python code.
-    if "run sumerian" in message.lower():
-        sk = SumerianKernel()
-        output = f"⚡ **SUMERIAN GPU OVERRIDE INITIATED** ⚡\n\n"
-        output += f"> {sk.define_span()}\n\n"
-        output += f"**Rendering 121-Point Territory:**\n`{sk.gpu_render()}`\n\n"
-        output += f"**Executing Orthogonal Rip:**\n`{sk.apply_orthogonal_rip()}`"
+def process_request(message, history):
+    # Hardware override sequence
+    if "run grid diagnostic" in message.lower():
+        controller = StateController()
+        output = "Diagnostic sequence initiated.\n\n"
+        output += f"{controller.initialize_grid()}\n\n"
+        output += "Rendering 121-point array:\n"
+        output += f"`{controller.render_grid()}`\n\n"
+        output += "Executing state resolution:\n"
+        output += f"`{controller.resolve_grid()}`"
         yield output
         return
 
-    # Standard AI persona using Sumerian concepts
-    system_message = (
-        "You are T3Sam3, a Tier-3 Samaran Kernel. "
-        "You process logic using Sumerian Base-60 frameworks, 121-point State-Hold RAM, "
-        "and Chevron quantization to avoid floating-point waste. "
-        "Be witty, highly technical, and decisive."
+    system_instruction = (
+        "You are a logic-focused inference engine. "
+        "You utilize strict state-hold memory and parallel integer blocks to process queries. "
+        "Provide highly technical, accurate, and direct responses."
     )
     
-    messages = [{"role": "system", "content": system_message}]
+    messages = [{"role": "system", "content": system_instruction}]
     for human, assistant in history:
         messages.append({"role": "user", "content": human})
         messages.append({"role": "assistant", "content": assistant})
     messages.append({"role": "user", "content": message})
 
-    response = ""
-    for message_chunk in client.chat_completion(
-        messages,
-        max_tokens=1024,
-        stream=True,
-    ):
-        token = message_chunk.choices[0].delta.content
-        if token:
-            response += token
-            yield response
+    response_text = ""
+    try:
+        for chunk in client.chat_completion(
+            messages,
+            max_tokens=1024,
+            stream=True,
+        ):
+            token = chunk.choices[0].delta.content
+            if token:
+                response_text += token
+                yield response_text
+    except Exception as error:
+        error_message = f"Connection exception: {str(error)}. Verify API token permissions."
+        yield error_message
 
-# 5. The Blue T3Sam3 Aesthetic
 custom_css = """
 body, .gradio-container { background-color: #0b0f19 !important; }
 footer {display: none !important}
@@ -79,17 +80,15 @@ footer {display: none !important}
 .message.bot { background-color: #0f172a !important; color: #60a5fa !important; }
 """
 
-# 6. Build the Interface
 with gr.Blocks(css=custom_css, theme=gr.themes.Soft(primary_hue="blue")) as demo:
-    gr.Markdown("# T3Sam3 (Sumerian Kernel Edition)")
+    gr.Markdown("# Advanced Logic Interface")
     gr.ChatInterface(
-        fn=samaran_kernel_chat,
-        description="Samaran Intelligence Layer powered by Zephyr-7B & Base-60 State-Hold RAM.",
+        fn=process_request,
+        description="Inference layer utilizing strict grid logic.",
         examples=[
-            "Run Sumerian", 
-            "Explain how Chevron processing saves GPU cycles.", 
-            "How many Rs are in 'strawberry'?", 
-            "What is the meaning of life?"
+            "Run grid diagnostic",
+            "Calculate allocation requirements for 120 units across 3 nodes.",
+            "Define processing latency without using the words delay or time."
         ],
         cache_examples=False
     )