Update app.py

app.py

@@ -10,11 +10,15 @@ from sklearn.naive_bayes import MultinomialNB
 import asyncio
 from crewai import Agent as CrewAgent, Task, Crew
 import autogen
+import openai
 
 # Set up logging
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 logger = logging.getLogger(__name__)
 
+# Set OpenAI API key from environment variable
+openai.api_key = os.environ.get('OPENAI_API_KEY')
+
 # Initialize the client with the Mistral-7B-Instruct-v0.2 model
 try:
     client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.2")
@@ -106,6 +110,10 @@ response_expert_crew = CrewAgent(
     tools=[generate_response]
 )
 
+llm_config = {
+    "config_list": [{"model": "gpt-3.5-turbo", "api_key": os.environ.get('OPENAI_API_KEY')}]
+}
+
 communication_expert_autogen = autogen.AssistantAgent(
     name="Communication_Expert",
     system_message=SHARED_CONTEXT + """
@@ -116,7 +124,7 @@ As the Communication Expert, your primary role is to interpret user queries with
 4. Ensure that any potential complaints or frustrations are acknowledged respectfully.
 
 Your output should be a rephrased version of the user's query that maintains its original intent while setting the stage for an empathetic and respectful response.""",
-    llm_config={"config_list": [{"model": "gpt-3.5-turbo"}]}
+    llm_config=llm_config
 )
 
 response_expert_autogen = autogen.AssistantAgent(
@@ -131,7 +139,7 @@ As the Response Expert, your role is to provide accurate, helpful, and emotional
 6. Always uphold Zerodha's reputation for transparency and user-centric service.
 
 Your output should be a complete, informative response that addresses the user's query while demonstrating empathy and respect.""",
-    llm_config={"config_list": [{"model": "gpt-3.5-turbo"}]}
+    llm_config=llm_config
 )
 
 user_proxy = autogen.UserProxyAgent(