Create utilis.py

utilis.py

@@ -0,0 +1,22 @@
+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()
+    # Set the model to use
+    #model = "gpt4" 
+    
+    # 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)