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Data Scientist.: Dr.Eddy Giusepe Chirinos Isidro
Objetivo: Estudar o uso de Memória no LangChain,
para ter ChatBots mais inteligentes.
"""
import os
import openai
from dotenv import find_dotenv, load_dotenv
_ = load_dotenv(find_dotenv()) # read local .env file
openai.api_key = os.getenv('OPENAI_API_KEY')
from langchain.chat_models import ChatOpenAI
from langchain.chains import ConversationChain
from langchain.memory import ConversationBufferMemory
memory = ConversationBufferMemory()
llm = ChatOpenAI(temperature=0.0,
max_tokens=150,
verbose=False
)
conversation = ConversationChain(llm=llm,
verbose=False,
memory=memory
)
# Salvando o Prompt e o Modelo:
#conversation.llm.save("eddy_LLM.json") # AttributeError: 'ChatOpenAI' object has no attribute 'save'
conversation.prompt.save("eddy_prompt.json")
# memory.chat_memory.add_user_message("Meu nome é Eddy Giusepe.")
# memory.chat_memory.add_user_message("Eu sou Cientista de dados e trabalho na central IT.")
# memory.chat_memory.add_user_message("Eu sou Peruano.")
print("Digite a sua pergunta para começar uma conversa com a AI: ")
while True:
query = input("Human: ")
result = conversation({"input": query})
#print(result)
print("AI: " + result['response'])
memory.chat_memory.add_user_message(query)
memory.chat_memory.add_ai_message(result['response'])
memory.save_context({"input": query}, {"output": result['response']})
memory_variables = memory.load_memory_variables({})
print("🤗🤗🤗")
#print(memory_variables)
#print("#"*30)
#print(memory_variables['history'])
if not query:
break
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