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import openai
import os
import streamlit as st
import pandas as pd
from streamlit_chat import message as st_message # Ensure streamlit_chat is installed
# Load data function remains the same
def load_data(path):
return pd.read_csv(path)
# Assuming you've set your OpenAI API key in the environment variables
openai.api_key = os.getenv("OPENAI_API_KEY")
# File uploader and data loading logic can remain the same
uploaded_file = st.sidebar.file_uploader("Choose a CSV file", type="csv")
if uploaded_file is not None:
st.session_state["df"] = pd.read_csv(uploaded_file)
# Function to generate a response from OpenAI's chat model
def ask_openai(prompt):
try:
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo", # Adjust model as needed
messages=[{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": prompt}],
)
return response.choices[0].message["content"]
except Exception as e:
st.error(f"Error in generating response: {e}")
return "I encountered an error. Please try again."
# Input for new messages
user_input = st.text_input("Ask me anything:", key="chat_input")
# Process input on submission
if user_input:
with st.chat_message("user"):
st.write(user_input)
# Generate and display response
ai_response = ask_openai(user_input)
with st.chat_message("assistant"):
st.write(ai_response) |