Code Editor for app.py

import streamlit as st
import pandas as pd
import numpy as np

st.title("Basic Test POC App")

st.write("Welcome to this basic proof of concept application!")

# Sample data generation
@st.cache_data
def generate_sample_data():
    np.random.seed(42)
    data = {
        'Name': [f'User {i}' for i in range(1, 11)],
        'Age': np.random.randint(20, 60, 10),
        'Score': np.random.randint(50, 100, 10),
        'Department': np.random.choice(['Engineering', 'Marketing', 'Sales', 'HR'], 10)
    }
    return pd.DataFrame(data)

# Sidebar controls
st.sidebar.header("Controls")
show_data = st.sidebar.checkbox("Show Data Table", value=True)
show_chart = st.sidebar.checkbox("Show Chart", value=True)
filter_dept = st.sidebar.selectbox("Filter by Department", 
                                  options=['All'] + ['Engineering', 'Marketing', 'Sales', 'HR'])

# Generate and display data
df = generate_sample_data()

# Apply filter if selected
if filter_dept != 'All':
    filtered_df = df[df['Department'] == filter_dept]
else:
    filtered_df = df

# Display metrics
col1, col2, col3 = st.columns(3)
with col1:
    st.metric("Total Users", len(filtered_df))
with col2:
    st.metric("Average Age", f"{filtered_df['Age'].mean():.1f}")
with col3:
    st.metric("Average Score", f"{filtered_df['Score'].mean():.1f}")

# Show data table
if show_data:
    st.subheader("Data Table")
    st.table(filtered_df)

# Show chart
if show_chart:
    st.subheader("Score Distribution by Department")
    chart_data = filtered_df.groupby('Department')['Score'].mean()
    st.bar_chart(chart_data)

# Interactive input
st.subheader("Add New Entry")
with st.form("new_entry"):
    name = st.text_input("Name")
    age = st.number_input("Age", min_value=18, max_value=100, value=25)
    score = st.number_input("Score", min_value=0, max_value=100, value=75)
    dept = st.selectbox("Department", ['Engineering', 'Marketing', 'Sales', 'HR'])
    
    if st.form_submit_button("Add Entry"):
        st.success(f"Added: {name}, Age: {age}, Score: {score}, Department: {dept}")

st.write("This is a basic proof of concept demonstrating Streamlit capabilities including data display, charts, and user interaction.")