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Update app.py
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app.py
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import streamlit as st
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import pandas as pd
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import base64
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from io import StringIO
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# Custom CSS for professional UI
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st.markdown("""
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/* Main container */
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.stApp {
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background-color: #f5f5f5;
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}
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/* Sidebar */
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.stSidebar {
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background-color: #2c3e50;
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color: white;
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}
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/* Buttons */
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background-color: #4CAF50;
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border-radius: 8px;
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}
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</style>
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""", unsafe_allow_html=True)
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# Function to create organization chart
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def create_org_chart(df, title):
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#
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for _, row in df.iterrows():
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parent = row['Parent']
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child = row['Child']
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if
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# Function to download CSV template
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def download_csv_template():
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# Generate chart
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if st.button("Generate Organization Chart"):
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if not edited_df.empty:
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# Display the chart
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st.graphviz_chart(dot)
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# PDF download options
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st.markdown("### Download Options")
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# Convert to PDF
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if st.button("Download as PDF"):
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st.download_button(
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label="Download PDF",
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data=
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file_name="org_chart.pdf",
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mime="application/pdf"
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)
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import streamlit as st
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import pandas as pd
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import plotly.graph_objects as go
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from io import StringIO
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import base64
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# Custom CSS for professional UI
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st.markdown("""
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/* Main container */
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.stApp {
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background-color: #f5f5f5;
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font-family: 'Arial', sans-serif;
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}
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/* Sidebar */
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.stSidebar {
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background-color: #2c3e50;
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color: white;
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padding: 20px;
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}
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/* Buttons */
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background-color: #4CAF50;
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border-radius: 8px;
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}
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/* Organization chart container */
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.org-chart-container {
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background-color: white;
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border-radius: 12px;
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padding: 20px;
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box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
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}
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</style>
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""", unsafe_allow_html=True)
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# Function to create organization chart
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def create_org_chart(df, title):
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positions = {}
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edge_x = []
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edge_y = []
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node_x = []
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node_y = []
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node_text = []
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# Create hierarchical positions
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levels = {}
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for _, row in df.iterrows():
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parent = row['Parent']
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child = row['Child']
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if parent not in levels:
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levels[parent] = 0
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if child not in levels:
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levels[child] = levels[parent] + 1
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# Assign coordinates
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max_level = max(levels.values())
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level_positions = {level: [] for level in range(max_level + 1)}
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for node, level in levels.items():
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level_positions[level].append(node)
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for level, nodes in level_positions.items():
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y_pos = max_level - level
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x_positions = [i - (len(nodes)-1)/2 for i in range(len(nodes))]
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for node, x_pos in zip(nodes, x_positions):
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positions[node] = (x_pos, y_pos)
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# Create edges
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for _, row in df.iterrows():
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parent = row['Parent']
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child = row['Child']
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x0, y0 = positions[parent]
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x1, y1 = positions[child]
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edge_x.extend([x0, x1, None])
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edge_y.extend([y0, y1, None])
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# Create nodes
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for node, (x, y) in positions.items():
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node_x.append(x)
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node_y.append(y)
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node_text.append(node)
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# Create 3D effect
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edge_trace = go.Scatter(
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x=edge_x, y=edge_y,
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line=dict(width=2, color='#888'),
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hoverinfo='none',
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mode='lines'
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)
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node_trace = go.Scatter(
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x=node_x, y=node_y,
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mode='markers+text',
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text=node_text,
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textposition="middle center",
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marker=dict(
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symbol='square',
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size=[100] * len(node_x), # Scalable size
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color='#4CAF50',
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line=dict(width=2, color='DarkSlateGrey'),
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opacity=0.8
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),
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hoverinfo='text',
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textfont=dict(size=14, color='white'),
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texttemplate='%{text}<br>', # Wrap text
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)
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fig = go.Figure(data=[edge_trace, node_trace],
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layout=go.Layout(
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title=f'<b>{title}</b><br>',
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titlefont_size=20,
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showlegend=False,
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hovermode='closest',
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margin=dict(b=20, l=5, r=5, t=40),
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xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
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yaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
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plot_bgcolor='white',
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paper_bgcolor='white'
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)
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)
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return fig
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# Function to download CSV template
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def download_csv_template():
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# Generate chart
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if st.button("Generate Organization Chart"):
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if not edited_df.empty:
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fig = create_org_chart(edited_df, chart_title)
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st.plotly_chart(fig, use_container_width=True)
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# PDF download options
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st.markdown("### Download Options")
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# Convert to PDF
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if st.button("Download as PDF"):
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img_bytes = fig.to_image(format="pdf",
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width=800 if orientation == "Portrait" else 1200,
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height=1200 if orientation == "Portrait" else 800)
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st.download_button(
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label="Download PDF",
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data=img_bytes,
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file_name="org_chart.pdf",
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mime="application/pdf"
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)
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