app.py

import streamlit as st
import os

def main():
    st.sidebar.title("OpenAI Settings")

    openai_api_key = st.sidebar.text_input("Enter your OpenAI API Key", type="password")

    os.environ['OPENAI_API_KEY'] = openai_api_key

    st.title("Personal Assistant")
    st.text("A BR CREATION")
    #st.image("chatbot.jpg", caption="Chatbot", width=178)

    #Create an empty container
    container = st.empty()
            
    # Add the image with specified width
    container.image("chatbot.jpg", caption="Chatbot", width=178, use_column_width=False)
            
    # Apply CSS to align the image to the right corner
    container.markdown(
                """
                <style>
                div[data-testid="stImage"] {
                    float: right;
                }
                </style>
                """,
                unsafe_allow_html=True
            )

    
    uploaded_file = st.file_uploader("Upload CSV file", type=["csv"])
    if uploaded_file is None:
        st.warning("Please upload a CSV file.")
        st.stop()  # Stop execution if no file uploaded
    
    
    from langchain.llms.openai import OpenAI
    from langchain.agents.agent_types import AgentType
    #from langchain.agents import create_csv_agent
    from langchain_experimental.agents import create_csv_agent
    import time

    llm = OpenAI(temperature=0)
    agent = create_csv_agent(
        llm,
        uploaded_file,
        verbose=False,
        agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
    )

    query = st.text_input("What would you like to know?")
    if st.button("Ask"):
        if query.strip() == "":
            st.warning("Please enter a query.")
        else:
            start = time.time()
            answer = agent.run(query)
            end = time.time()
            st.write(answer)
            st.write(f"Answer (took {round(end - start, 2)} s.)")

    

if __name__ == "__main__":
    main()