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Browse files- app.py +45 -0
- requirements.txt +5 -0
app.py
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import streamlit as st
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import pandas as pd
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import numpy as np
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from dotenv import load_dotenv
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from pandasai.llm.google_gemini import GoogleGemini
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from pandasai import SmartDataframe
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import os
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load_dotenv()
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llm=GoogleGemini(api_key=os.getenv('GOOGLE_API_KEY'))
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def chat_with_csv(df,prompt):
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pandas_ai = SmartDataframe(df,config={'llm':llm})
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result=pandas_ai.chat(prompt)
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return result
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st.set_page_config(layout='wide')
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st.title('ChatCSV powered by LLM')
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input_csv=st.file_uploader('upload your csv file',type=['csv'])
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if input_csv is not None:
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col1,col2=st.columns([1,1])
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with col1:
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st.info('CSV Uploaded successfully')
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data=pd.read_csv(input_csv)
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st.dataframe(data)
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with col2:
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st.info('Chat with CSV')
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input_text=st.text_area('Enter your query')
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if input_text is not None:
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if st.button('Chat with CSV'):
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st.info(f'Your query: {input_text}')
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result=chat_with_csv(data,input_text)
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st.success(result)
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requirements.txt
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pandas==1.5.3
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numpy==1.23.4
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streamlit==1.36.0
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pandasai
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python-dotenv
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