Update to async processing in app and HIMModel

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 import torch
+import asyncio
 from src.model.him_model import HIMModel
 from config.model_config import HIMConfig
 from config.environment_config import EnvironmentConfig
@@ -11,7 +12,7 @@ def initialize_model():
     model = HIMModel(model_config).to(device)
     return model
 
-def chat(message: str, 
+async def chat(message: str, 
          system_message: str = "You are a friendly Chatbot.",
          max_tokens: int = 512,
          temperature: float = 0.7,
@@ -28,7 +29,7 @@ def chat(message: str,
     }
     
     with torch.no_grad():
-        result = model.generate_response(input_data)
+        result = await model.generate_response(input_data)
     return result["response"]
 
 model = initialize_model()

src/model/him_model.py

@@ -1,6 +1,7 @@
 import torch
 import torch.nn as nn
 from typing import Dict, Any
+import asyncio
 from ..core.consciousness_kernel import ConsciousnessKernel
 from ..core.emotional_intelligence import EmotionalProcessor
 from ..core.theory_of_mind import TheoryOfMind
@@ -15,11 +16,11 @@ class HIMModel(nn.Module):
         self.theory_of_mind = TheoryOfMind()
         self.semiotic_processor = SemioticProcessor()
         
-    def generate_response(self, input_data: Dict[str, Any]) -> Dict[str, Any]:
+    async def generate_response(self, input_data: Dict[str, Any]) -> Dict[str, Any]:
         consciousness_state = self.consciousness_kernel.process_consciousness_cycle(input_data)
         emotional_context = self.emotional_processor.process_emotional_context(input_data)
         social_understanding = self.theory_of_mind.model_agent_mind(input_data)
-        semiotic_analysis = self.semiotic_processor.process_signs(input_data)
+        semiotic_analysis = await self.semiotic_processor.process(input_data)
         
         return self._integrate_outputs(
             consciousness_state,