Update app.py

app.py

@@ -30,7 +30,7 @@ quantization_config = BitsAndBytesConfig(
 )
 
 # 2. Create model
-model = HuggingFacePipeline.from_model_id(
+llm = HuggingFacePipeline.from_model_id(
     model_id="EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003",
     task="text-generation",
     pipeline_kwargs=dict(
@@ -47,12 +47,13 @@ tools = load_tools(["serpapi"])
 # Get the prompt to use - you can modify this!
 prompt = hub.pull("hwchase17/openai-tools-agent")
 # print(prompt.messages) -- to see the prompt
-agent = create_openai_tools_agent(
-    model.with_config({"tags": ["agent_llm"]}), tools, prompt
-)
+# Construct the ReAct agent
+agent = create_react_agent(llm, tools, prompt)
+
 agent_executor = AgentExecutor(agent=agent, tools=tools).with_config(
     {"run_name": "Agent"}
 )
+
 async def interact_with_langchain_agent(prompt, messages):
     messages.append(ChatMessage(role="user", content=prompt))
     yield messages