Create app.py

app.py

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+import streamlit as st
+import json
+import matplotlib.pyplot as plt
+
+# Set Streamlit page configuration
+st.set_page_config(layout="wide")
+
+# Function to load JSON data
+def load_data(filename):
+    with open(filename, 'r') as file:
+        data = json.load(file)
+    return data
+
+# Dictionary for color codes
+color_codes = {
+    "residential": "#ADD8E6",
+    "commercial": "#90EE90",
+    "community_facilities": "#FFFF00",
+    "school": "#FFFF00",
+    "healthcare_facility": "#FFFF00",
+    "green_space": "#90EE90",
+    "utility_infrastructure": "#90EE90",
+    "emergency_services": "#FF0000",
+    "cultural_facilities": "#D8BFD8",
+    "recreational_facilities": "#D8BFD8",
+    "innovation_center": "#90EE90",
+    "elderly_care_home": "#FFFF00",
+    "childcare_centers": "#FFFF00",
+    "places_of_worship": "#D8BFD8",
+    "event_spaces": "#D8BFD8",
+    "guest_housing": "#FFA500",
+    "pet_care_facilities": "#FFA500",
+    "public_sanitation_facilities": "#A0A0A0",
+    "environmental_monitoring_stations": "#90EE90",
+    "disaster_preparedness_center": "#A0A0A0",
+    "outdoor_community_spaces": "#90EE90",
+}
+
+# Function to draw the grid with optional highlighting and roads
+def draw_grid(data, highlight_coords=None):
+    fig, ax = plt.subplots(figsize=(12, 12))
+    nrows, ncols = data['size']['rows'], data['size']['columns']
+    ax.set_xlim(0, ncols)
+    ax.set_ylim(0, nrows)
+    ax.set_xticks(range(ncols+1))
+    ax.set_yticks(range(nrows+1))
+    ax.grid(True)
+    
+    for building in data['buildings']:
+        coords = building['coords']
+        b_type = building['type']
+        size = building['size']
+        color = color_codes.get(b_type, '#FFFFFF')  # Default color is white if not specified
+        
+        if highlight_coords and (coords[0], coords[1]) == tuple(highlight_coords):
+            highlighted_color = "#FFD700"  # Gold for highlighting
+            ax.add_patch(plt.Rectangle((coords[1], nrows-coords[0]-size), size, size, color=highlighted_color, edgecolor='black', linewidth=2))
+        else:
+            ax.add_patch(plt.Rectangle((coords[1], nrows-coords[0]-size), size, size, color=color, edgecolor='black', linewidth=1))
+            ax.text(coords[1]+0.5*size, nrows-coords[0]-0.5*size, b_type, ha='center', va='center', fontsize=8, color='black')
+
+    # Drawing roads
+    for road in data.get('roads', []):  # Ensures compatibility if 'roads' key is missing
+        start, end = road['start'], road['end']
+        road_color = road.get('color', '#696969')  # Dark gray as default road color
+        if start[0] == end[0]:  # Vertical road
+            for y in range(min(start[1], end[1]), max(start[1], end[1]) + 1):
+                ax.add_patch(plt.Rectangle((start[0], nrows-y-1), 1, 1, color=road_color))
+        else:  # Horizontal road
+            for x in range(min(start[0], end[0]), max(start[0], end[0]) + 1):
+                ax.add_patch(plt.Rectangle((x, nrows-start[1]-1), 1, 1, color=road_color))
+
+    ax.set_xlabel('Columns')
+    ax.set_ylabel('Rows')
+    ax.set_title('Village Layout with Color Coding')
+    return fig
+
+# Main Streamlit app function
+def main():
+    st.title('Green Smart Village Application')
+
+    # Divide the page into three columns
+    col1, col2, col3 = st.columns(3)
+    
+    with col1:
+        st.header("Today's Agenda")
+        st.write("1. Morning Meeting\n2. Review Project Plans\n3. Lunch Break\n4. Site Visit\n5. Evening Wrap-up")
+        
+        st.header("Agent Advisors")
+        st.write("Would you like to optimize your HIN number?")
+        
+        st.header("My Incentive")
+        st.write("Total incentive for HIN optimization")
+    
+    with col2:
+        st.header("Green Smart Village Layout")
+        data = load_data('grid.json')  # Ensure this path is correct
+        
+        # Dropdown for selecting a building
+        building_options = [f"{bld['type']} at ({bld['coords'][0]}, {bld['coords'][1]})" for bld in data['buildings']]
+        selected_building = st.selectbox("Select a building to highlight:", options=building_options)
+        selected_index = building_options.index(selected_building)
+        selected_building_coords = data['buildings'][selected_index]['coords']
+
+        # Draw the grid with the selected building highlighted and roads
+        fig = draw_grid(data, highlight_coords=selected_building_coords)
+        st.pyplot(fig)
+
+    with col3:
+        st.header("Check Your HIN Number")
+        hin_number = st.text_input("Enter your HIN number:")
+        if hin_number:
+            st.write("HIN number details will be displayed here...")  # Placeholder for actual HIN number check
+
+if __name__ == "__main__":
+    main()