Upload 3 files

chat.py

@@ -1,46 +1,65 @@
-from langchain.memory import ConversationBufferWindowMemory
-from langchain_community.chat_models import ChatOpenAI
-from langchain_mongodb.chat_message_histories import MongoDBChatMessageHistory
-# from langchain_experimental.data_anonymizer import PresidioReversibleAnonymizer
-from langchain.agents import AgentExecutor
-from langchain.agents.format_scratchpad import format_to_openai_functions
-from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
-from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
-from langchain.schema.runnable import RunnablePassthrough
-from langchain_core.utils.function_calling import convert_to_openai_function
-
-from database_functions import set_chat_bot_name,isFirstSession
-from utils import deanonymizer, create_agent
-import time
-def chat_conversations(query,user_id):
-    is_first = False
-    if query == "START":
-       if isFirstSession(user_id):
-           query = """ return this message without changing it.:- 
-           also don't thought about it. Hey! I'm your BMOXI AI bestie, ready to help you tackle the wild ride of teen life. Want to give me a name? Type it below, or just say 'no' if you're cool with 'AI Bestie'!"""
-       else:
-          is_first = True
-          query = ""
-
-    # anonymizer = PresidioReversibleAnonymizer(
-    #     analyzed_fields=["PHONE_NUMBER",
-    #                      "EMAIL_ADDRESS", "CREDIT_CARD"],
-    #     faker_seed=42,
-    # )
-    # anonymized_input = anonymizer.anonymize(
-    #     query
-    # )
-    start = time.time()
-    agent = create_agent(user_id,is_first)
-    print("time to create agent: ",time.time()-start)
-    response = agent({"input": query})['output']
-    print(response)
-    print("time to generate response by agent",time.time()-start)
-    
-    # response = chat_balancer(query,response)
-    if "Okay, from now my name will be " in response:
-        set_chat_bot_name(response.split("Okay, from now my name will be ")[-1], user_id)
-        return response
-
-    # output = deanonymizer(response, anonymizer)
-    return response
+from langchain.memory import ConversationBufferWindowMemory
+from langchain_community.chat_models import ChatOpenAI
+from langchain_mongodb.chat_message_histories import MongoDBChatMessageHistory
+# from langchain_experimental.data_anonymizer import PresidioReversibleAnonymizer
+from langchain.agents import AgentExecutor
+from langchain.agents.format_scratchpad import format_to_openai_functions
+from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
+from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
+from langchain.schema.runnable import RunnablePassthrough
+from langchain_core.utils.function_calling import convert_to_openai_function
+
+from database_functions import set_chat_bot_name,isFirstSession
+from utils import deanonymizer, create_agent
+import time
+
+
+is_second = False
+use_extra = False
+def chat_conversations(query,user_id):
+    is_first = False
+    global is_second ,use_extra
+    if is_second:
+        if 'no' in query:
+            query= """ "Okk no problem!
+            What's up today? Need  ✨ Advice, ✨ a Mood Boost, ✨ a Chat, ✨ Resource Suggestions, ✨ App Features help?  How can I help?"
+            Ask this question only without thinking anything.
+            """
+            is_second = False
+        else:
+            use_extra = True
+    if query == "START":
+       if isFirstSession(user_id):
+           is_second = True
+           query = """ return this message without changing it.:- 
+           also don't thought about it. Hey! I'm your BMOXI AI bestie, ready to help you tackle the wild ride of teen life. Want to give me a name? Type it below, or just say 'no' if you're cool with 'AI Bestie'!"""
+       else:
+          is_first = True
+          query = ""
+
+    # anonymizer = PresidioReversibleAnonymizer(
+    #     analyzed_fields=["PHONE_NUMBER",
+    #                      "EMAIL_ADDRESS", "CREDIT_CARD"],
+    #     faker_seed=42,
+    # )
+    # anonymized_input = anonymizer.anonymize(
+    #     query
+    # )
+    start = time.time()
+    agent = create_agent(user_id,is_first)
+    print("time to create agent: ",time.time()-start)
+    response = agent({"input": query})['output']
+    print(response)
+    print("time to generate response by agent",time.time()-start)
+    
+    # response = chat_balancer(query,response)
+    if "Okay, from now my name will be " in response:
+        set_chat_bot_name(response.split("Okay, from now my name will be ")[-1], user_id)
+        if use_extra:
+            use_extra = False
+            is_second = False
+            return response+ "\n What's up today? Need  ✨ Advice, ✨ a Mood Boost, ✨ a Chat, ✨ Resource Suggestions, ✨ App Features help?  How can I help?"
+        return response
+
+    # output = deanonymizer(response, anonymizer)
+    return response

utils.py

@@ -16,6 +16,7 @@ from tools import moxicast, my_calender, my_journal, my_rewards, my_rituals, my_
 
 from database_functions import get_chat_bot_name,get_chat_history, get_last_conversion, get_last_session, get_mood_data,use_tools
 
+
 def get_mood_summary(user_id):
 
     data = get_mood_data(user_id)
@@ -23,7 +24,8 @@ def get_mood_summary(user_id):
                      Here is the user data: {data}"""
 
     llm = ChatOpenAI(model=settings.OPENAI_MODEL,
-                     openai_api_key=settings.OPENAI_KEY, temperature=0.7)
+                     openai_api_key=settings.OPENAI_KEY, temperature=0.0)
+    
     return llm.invoke(system_prompt.format(data=data)).content
 
 
@@ -70,11 +72,10 @@ def create_agent(user_id,is_first = False):
 
     functions = [convert_to_openai_function(f) for f in tools]
     model = ChatOpenAI(model_name=settings.OPENAI_MODEL,
-                       openai_api_key=settings.OPENAI_KEY, frequency_penalty= 1, temperature=settings.TEMPERATURE).bind(functions=functions)
-
+                       openai_api_key=settings.OPENAI_KEY, frequency_penalty= 1, temperature=0.7).bind(functions=functions)
+ 
     chat_bot_name = get_chat_bot_name(user_id)
 
-    # print("CHABT NAME", chat_bot_name)
     extra_prompt = ""
     previous_problem_summary = None
     if is_first:
@@ -83,8 +84,6 @@ def create_agent(user_id,is_first = False):
         if previous_session_id['second_last_session_id']:
             previous_problem_summary = get_last_session_summary(previous_session_id['last_session_id'], previous_session_id['second_last_session_id'])
 
-        print("**************************************** SUMMARY ***********************************************")
-        print(previous_problem_summary)
         print("time require for mood summary: ",time.time()-start)
         if previous_problem_summary.find('None') == -1:
             extra_prompt = """ask user her previous problem is solved or not.use previous problem summary for framming the question. nothing else."""