Update agent.py

agent.py

@@ -467,7 +467,7 @@ hf_token = os.getenv("HF_TOKEN")
 from langchain_huggingface import HuggingFaceEndpoint
 
 # Initialize the HuggingFaceEndpoint with the desired model and parameters
-qwen_model = HuggingFaceEndpoint(
+llm = HuggingFaceEndpoint(
     repo_id="Qwen/Qwen2.5-Coder-32B-Instruct",
     task="text-generation",
     huggingfacehub_api_token=os.getenv("HF_TOKEN"),
@@ -476,15 +476,6 @@ qwen_model = HuggingFaceEndpoint(
 )
 
 # Initialize the LangChain agent with the tool(s) and the model
-agent = initialize_agent(
-    tools=tools,
-    llm=qwen_model,
-    agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
-    verbose=True
-)
-
-
-# Create an agent using the planner, task classifier, and decision logic
 agent = initialize_agent(
     tools=tools,
     llm=llm,
@@ -494,7 +485,6 @@ agent = initialize_agent(
 
 
 
-
 # -------------------------------
 # Step 8: Use the Planner, Classifier, and Decision Logic
 # -------------------------------