Update app.py

app.py

@@ -9,19 +9,13 @@ from langchain.agents import AgentExecutor, create_openai_functions_agent
 from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
 from langchain_core.messages import AIMessage, HumanMessage
 from langchain.tools import StructuredTool
-
-OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
-
-def response_text(openai_resp):
-    return openai_resp['choices'][0]['message']['content']
-
 from gptcache import cache
-from gptcache.adapter import openai
+from gptcache.adapter.langchain_models import LangChainLLMs
 from gptcache.embedding import Onnx
 from gptcache.manager import CacheBase, VectorBase, get_data_manager
 from gptcache.similarity_evaluation.distance import SearchDistanceEvaluation
 
-print("Cache loading.....")
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
 
 onnx = Onnx()
 data_manager = get_data_manager(CacheBase("sqlite"), VectorBase("faiss", dimension=onnx.dimension))
@@ -90,8 +84,8 @@ class GetEmployees(BaseModel):
     start_time: str = Field(..., description="Required start time")
     duration_hours: int = Field(..., description="Required duration of the availability in hours")
 
-llm = ChatOpenAI(temperature=1.0, model_name="gpt-3.5-turbo", openai_api_key=OPENAI_API_KEY)
-# llm = LangChainLLMs(llm=ChatOpenAI(temperature=1.0, model_name="gpt-3.5-turbo", openai_api_key=OPENAI_API_KEY))
+# llm = ChatOpenAI(temperature=1.0, model_name="gpt-3.5-turbo", openai_api_key=OPENAI_API_KEY)
+llm = LangChainLLMs(llm=ChatOpenAI(temperature=1.0, model_name="gpt-3.5-turbo", openai_api_key=OPENAI_API_KEY))
 
 tools = [
     StructuredTool.from_function(