client llm model

app.py

@@ -22,15 +22,15 @@ def initialize_agent(api_key, model_name):
 
         # Map model names to InferenceClientModel configurations
         model_configs = {
-            "Qwen": "Qwen/Qwen2-7B-Instruct",  # Example model ID
-            "Gemma": "google/gemma-7b",  # Example model ID
+            "Qwen": "Qwen/Qwen2-72B-Instruct",  # Example model ID
+            "Gemma": "google/gemma-2-27b-it",  # Example model ID
             "Llama": "meta-llama/Llama-3-8b"  # Example model ID
         }
 
         model = InferenceClientModel(
             provider='nebius',
             token=api_key,
-            model=model_configs.get(model_name, "google/gemma-7b")  # Default to Qwen
+            model=model_configs.get(model_name, "google/gemma-2-27b-it")  # Default to Qwen
         )
         agent = CodeAgent(tools=[*tools], model=model)
         return mcp_client, agent, None