提问人:3bs 提问时间:9/22/2023 最后编辑:Yilmaz3bs 更新时间:9/26/2023 访问量:163
Langchain CSV 代理
Langchain CSV agent
问:
我有这行来创建 Langchain csv 代理,并将内存或聊天记录添加到 itiwan,以使代理可以访问用户问题和响应并在操作中考虑它们,但代理根本不识别内存 这是我的代码>>
memory_x = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
agent = create_csv_agent(OpenAI(temperature=0, openai_api_key=os.environ["OPENAI_API_KEY"]),filepath,agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)
`
# and here is the post function in the route that handles the the user input -----
if request.method == 'POST':
question = request.form['question']
response = agent.run(question) # Use user input from the web page
有人可以帮我做吗
我已经尝试了所有添加内存的方法,但我无法正确做到这一点
答:
0赞
ZKS
9/26/2023
#1
这是您可以做到的一种方式
from langchain.agents import create_csv_agent
from langchain.llms import OpenAI
from langchain.agents.agent_types import AgentType
class ChatWithCSVAgent:
def __init__(self):
self.memory = []
self.agent = create_csv_agent(
OpenAI(temperature=0),
"your csv path",
verbose=True,
agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
)
def run(self, user_input):
response = self.agent.run(user_input)
# Update memory
self.memory.append({"user": user_input, "AI": response})
for interaction in self.memory:
print("User:", interaction["user"])
print("AI Assistant:", interaction["AI"])
return response
#Run
conversational_agent = ChatWithCSVAgent()
response = conversational_agent.run("how many rows are there?")
print(response)
评论
0赞
3bs
9/27/2023
但这样我只保存内存,我需要做的是代理可以在生成我问题的答案时使用内存,因此它将是对话式的
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