CSV_data2 / utils.py
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from langchain.agents import create_pandas_dataframe_agent
#from langchain_experimental.agents.agent_toolkits.csv.base import create_csv_agent
import pandas as pd
from langchain.llms import OpenAI
def query_agent(data, query):
# Parse the CSV file and create a Pandas DataFrame from its contents.
df = pd.read_csv('data')
llm = OpenAI()
# Create a Pandas DataFrame agent.
agent = create_pandas_dataframe_agent(llm, df, verbose=True)
#Python REPL: A Python shell used to evaluating and executing Python commands.
#It takes python code as input and outputs the result. The input python code can be generated from another tool in the LangChain
return agent.run(query)