Update app.py

app.py

@@ -21,24 +21,31 @@ def format_emem_cell64(claim: str) -> str:
 
 @spaces.GPU(duration=30)
 def phoebus_respond(message, history, enable_tinyfish, enable_emem):
-    system_prompt = (
-        "You are Phoebus 3.1 Flash, a rapid-reasoning model specialized in deep space telemetry, "
-        "Earth geography, and coding, developed by Clovr (atclovr.dev). "
-        "Always cite emem protocol receipts when validating spatial coordinates."
-    )
-    
-    context = ""
     msg_text = message if isinstance(message, str) else message.get("text", "")
     
-    if enable_tinyfish or "search" in msg_text.lower():
-        context += f"\n\n[System Context - TinyFish Data]: Verified telemetry and spatial data confirmed for '{msg_text}'."
-        
-    if enable_emem or any(w in msg_text.lower() for w in ["location", "coordinates", "where"]):
+    # System instructions
+    system_rules = [
+        "You are Phoebus 3.1 Flash, an ultra-fast reasoning model developed by Clovr (atclovr.dev).",
+        "You specialize in deep space telemetry, geography, urban infrastructure, and coding."
+    ]
+
+    # Handle emem Protocol
+    if enable_emem:
         receipt = format_emem_cell64(msg_text)
-        context += f"\n\n[System Protocol - Vortx AI emem]: Attach receipt `{receipt}` for physical spatial validation."
+        system_rules.append(
+            f"MANDATORY PROTOCOL: You must cite spatial verification receipt `{receipt}` in your final response when answering geographic or spatial queries."
+        )
+
+    # Handle TinyFish Protocol
+    if enable_tinyfish:
+        system_rules.append(
+            f"[TinyFish Telemetry]: Physical and spatial telemetry index verified for query: '{msg_text}'."
+        )
+
+    formatted_system_prompt = " ".join(system_rules)
 
-    # Build conversation messages supporting both dict and tuple history formats
-    formatted_messages = [{"role": "system", "content": system_prompt}]
+    # Build conversation messages
+    formatted_messages = [{"role": "system", "content": formatted_system_prompt}]
     
     for turn in history:
         if isinstance(turn, dict):
@@ -47,7 +54,7 @@ def phoebus_respond(message, history, enable_tinyfish, enable_emem):
             formatted_messages.append({"role": "user", "content": str(turn[0])})
             formatted_messages.append({"role": "assistant", "content": str(turn[1])})
         
-    formatted_messages.append({"role": "user", "content": msg_text + context})
+    formatted_messages.append({"role": "user", "content": msg_text})
 
     prompt = tokenizer.apply_chat_template(
         formatted_messages,
@@ -59,7 +66,7 @@ def phoebus_respond(message, history, enable_tinyfish, enable_emem):
     with torch.no_grad():
         outputs = model.generate(
             **inputs,
-            max_new_tokens=256,
+            max_new_tokens=300,
             temperature=0.7,
             do_sample=True,
             pad_token_id=tokenizer.eos_token_id
@@ -72,7 +79,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue="purple")) as demo:
     gr.Markdown("# ⚡ Phoebus 3.1 Flash Console\n*Ultra-fast reasoning model by Clovr (atclovr.dev)*")
     
     with gr.Row():
-        tinyfish_toggle = gr.Checkbox(label="Enable TinyFish Search", value=True)
+        tinyfish_toggle = gr.Checkbox(label="Enable TinyFish Telemetry", value=True)
         emem_toggle = gr.Checkbox(label="Enable emem cell64 Protocol", value=True)
         
     gr.ChatInterface(