Update app.py

app.py

@@ -41,7 +41,7 @@ fs_token = os.environ.get('fs_token')
 
 llm_name = "gpt-3.5-turbo-0301"
 
-vectordb, client = initialize.initialize()
+vectordb = initialize.initialize()
 
 chat_history = []
 
@@ -64,14 +64,14 @@ def chat_query_doc(question, history):
                     If don't get the answer, feel free to reply from your own knowledge."""
     
     
-    query = f"""If the Question is related to Electrical Domain, Provide a detailed, accurate and point-wise reply to the query: {question} based on provided context only. \
-                Ensure that your reply addresses each aspect of the query thoroughly. """
+    query = f"""You'll be asked with a User Query. If the Query is related to Electrical Domain, Provide a precise and point-wise reply to the query: {question} \
+                based on provided context only. Ensure that your reply addresses each aspect of the query thoroughly. """
 
 
 
     #llm = ChatOpenAI(model = llm_name, temperature = 0.1, api_key = OPENAI_API_KEY)
     #llm = GoogleGenerativeAI(model = "gemini-pro", google_api_key = GEMINI_API_KEY)
-    llm = ChatGoogleGenerativeAI(model = "gemini-1.0-pro", google_api_key = GEMINI_API_KEY, temperature = 0, client_options = client)
+    llm = ChatGoogleGenerativeAI(model = "gemini-1.0-pro", google_api_key = GEMINI_API_KEY, temperature = 0)
 
     # Conversation Retrival Chain with Memory
     #memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)