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Update app.py
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app.py
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@@ -1,7 +1,7 @@
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import streamlit as st
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import pandas as pd
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import pandasai as PandasAI
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from pandasai import SmartDatalake
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from pandasai.responses.response_parser import ResponseParser
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from pandasai.llm import GoogleGemini
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import plotly.express as px
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from markdown_pdf import MarkdownPdf, Section
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import tempfile
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from langchain_google_genai import ChatGoogleGenerativeAI
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# Configure Gemini API
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gemini_api_key = os.environ.get('GOOGLE_API_KEY')
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if not gemini_api_key:
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@@ -46,7 +47,7 @@ llm1 = ChatGoogleGenerativeAI(
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max_retries=2
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)
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def load_data():
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"""Load data from CSV files and validate"""
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return None
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def my_insights(df):
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insights = pandas_ai(df)
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return insights
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#Dashboard
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def create_dashboard(data):
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"""Create dashboard visualizations"""
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import streamlit as st
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import pandas as pd
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import pandasai as PandasAI
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from pandasai import SmartDatalake, SmartDataframe
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from pandasai.responses.response_parser import ResponseParser
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from pandasai.llm import GoogleGemini
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import plotly.express as px
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from markdown_pdf import MarkdownPdf, Section
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import tempfile
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from langchain_google_genai import ChatGoogleGenerativeAI
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# Configure Gemini API
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gemini_api_key = os.environ.get('GOOGLE_API_KEY')
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if not gemini_api_key:
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max_retries=2
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)
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def load_data():
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"""Load data from CSV files and validate"""
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return None
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events_i = SmartDataframe(events_df, config={
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"llm": llm1
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})
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customer_i = SmartDataframe(customers_df, config={
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"llm": llm1
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})
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products_i = SmartDataframe(products_df, config={
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"llm": llm1,
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})
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#Dashboard
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def create_dashboard(data):
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"""Create dashboard visualizations"""
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