Code Editor for app.py

import streamlit as st
import pandas as pd
from datetime import datetime, timedelta

# Get current week number
current_week = datetime.now().isocalendar()[1]

# Generate list of weeks for the year
weeks = list(range(1, 53))  # Most years have 52 weeks, some have 53

# Layout
st.title("Dashboard")

# Week selector
selected_week = st.selectbox("Select Week", weeks, index=current_week-1)

# Create two columns for the first row of metrics
col1, col2 = st.columns(2)

# First group
with col1:
    st.markdown("### Group 1")
    metric1, metric2, metric3 = st.columns(3)
    with metric1:
        st.metric("Metric 1", "100")
    with metric2:
        st.metric("Metric 2", "200")
    with metric3:
        st.metric("Metric 3", "300")

# Second group
with col2:
    st.markdown("### Group 2")
    metric4, metric5, metric6 = st.columns(3)
    with metric4:
        st.metric("Metric 4", "400")
    with metric5:
        st.metric("Metric 5", "500")
    with metric6:
        st.metric("Metric 6", "600")

# Create two columns for the second row of metrics
col3, col4 = st.columns(2)

# Third group
with col3:
    st.markdown("### Group 3")
    metric7, metric8, metric9 = st.columns(3)
    with metric7:
        st.metric("Metric 7", "700")
    with metric8:
        st.metric("Metric 8", "800")
    with metric9:
        st.metric("Metric 9", "900")

# Fourth group
with col4:
    st.markdown("### Group 4")
    metric10, metric11, metric12 = st.columns(3)
    with metric10:
        st.metric("Metric 10", "1000")
    with metric11:
        st.metric("Metric 11", "1100")
    with metric12:
        st.metric("Metric 12", "1200")

# Generate sample data for the table (7 columns x 10 rows)
data = {
    'Monday': [f"Data {i+1}" for i in range(10)],
    'Tuesday': [f"Data {i+1}" for i in range(10)],
    'Wednesday': [f"Data {i+1}" for i in range(10)],
    'Thursday': [f"Data {i+1}" for i in range(10)],
    'Friday': [f"Data {i+1}" for i in range(10)],
    'Saturday': [f"Data {i+1}" for i in range(10)],
    'Sunday': [f"Data {i+1}" for i in range(10)]
}

# Create and display the table
df = pd.DataFrame(data)
st.markdown("### Weekly Data")
st.table(df)