import pandasai from pandasai.llm.local_llm import LocalLLM from pandasai import Agent import streamlit as st import pandas as pd model = LocalLLM( api_base='http://0.0.0.0:11434/v1', model='llama3' ) st.title('MBA data analysis with LLAMA3') upload_file = st.sidebar.file_uploader( 'upload a csv file', type=["csv"] ) if upload_file is not None: data =pd.read_csv(upload_file) st.write(data.head(7)) agent = Agent(data, config={"llm": model}) prompt = st.text_input('Prompt:') if st.button("Generation"): if prompt: with st.spinner("Generating rep ...."): st.write(agent.chat(prompt))