Upload 5 files

.env

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+OPENAI_API_KEY="sk-3f8iW6nSTjf2422hgnm9654gh6g4fss5hkluYz7dO98vje4uPCT"

.env.example

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+OPENAI_API_KEY=""
+HUGGINGFACEHUB_API_TOKEN=""

app.py

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+import streamlit as st
+from dotenv import load_dotenv
+from utils import query_agent
+
+load_dotenv()
+
+
+st.title("Let's do some analysis on your CSV")
+st.header("Please upload your CSV file here:")
+
+# Capture the CSV file
+data = st.file_uploader("Upload CSV file",type="csv")
+
+query = st.text_area("Enter your query")
+button = st.button("Generate Response")
+
+if button:
+    # Get Response
+    answer =  query_agent(data,query)
+    st.write(answer)

utils.py

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+##from langchain.agents import create_pandas_dataframe_agent #This import has been recently replaced by the below
+from langchain_experimental.agents import create_pandas_dataframe_agent
+import pandas as pd
+#from langchain.llms import OpenAI
+#New import from langchain, which replaces the above
+from langchain_openai 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.invoke(query)