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