financial
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import streamlit as st
import pandas as pd
from sqlalchemy import create_engine
from sqlalchemy.orm import Session
from sqlalchemy.orm import DeclarativeBase
class Base(DeclarativeBase):
pass
# Create database engine
engine = create_engine('sqlite:///finance_data.sqlite')
# Example data loading function
@st.cache_data
def load_data():
url = 'https://example.com/financial_data.csv'
data = pd.read_csv(url)
return data
# Load the financial data
financial_data = load_data()
# Display the financial data
st.title('Financial Data Overview')
st.write(financial_data)
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