Update app.py

app.py

@@ -4,14 +4,24 @@ import plotly.express as px
 import plotly.graph_objs as go
 
 # Load the CSV file
-file = "brick_kiln_lucknow_v1.csv"  # Replace with the correct path to your CSV file
+# file = "/home/rishabh.mondal/Brick-Kilns-project/albk_rishabh/albk_v2/YOLO_LOCALIZATION/Compliance-app/brick_kiln_lucknow_v1.csv"  # Replace with the correct path to your CSV file
+
+# Dropdown to select the location
+location = st.selectbox("Select Location", ["Lucknow", "Delhi"])
+
+# Determine the file path based on selection
+if location == "Lucknow":
+    file = "brick_kiln_lucknow_v1.csv"
+else:
+    file = "brick_kiln_delhi_v1.csv"
+
 data = pd.read_csv(file)
 
 # Streamlit app title
 st.markdown("<h2 style='text-align: center;'>Brick Kiln Location and Conversion Visualization</h2>", unsafe_allow_html=True)
 
 # Slider to select the year
-year_selected = st.slider("Select the Year", min_value=int(data["Year made"].min()), max_value=int(data["fcb to zigzag"].max()), value=int(data["Year made"].min()), step=1)
+year_selected = st.slider("Select the Year", min_value=int(data["Year made"].min()), max_value=int(data["Year made"].max()), value=int(data["Year made"].min()), step=1)
 filtered_data = data[data["Year made"] <= year_selected]
 
 # # Calculate the change in fcbk to zigzag by checking the 'fcb to zigzag' column
@@ -61,7 +71,7 @@ fig_filtered = px.scatter_mapbox(
     mapbox_style="carto-positron",
     hover_name="Type",
     zoom=8.5,
-    center={"lat": 26.8467, "lon": 80.9462},
+    center={"lat": 26.8467, "lon": 80.9462} if location == "Lucknow" else {"lat": 28.7041, "lon": 77.1025},
     title=f"Brick Kiln Locations and Status up to Year {year_selected}",
     height=600,
     width=600
@@ -82,12 +92,33 @@ with col1:
 with col2:
     st.subheader("Yearly Kiln Made")
     st.dataframe(yearly_summary)
-
-# Historical data for brick kilns
-years = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]
-brick_kilns_total = [117, 314, 376, 396, 408, 432, 433, 454, 461, 466, 470, 477, 478]
-brick_kilns_fcb = [52, 127, 159, 171, 178, 191, 192, 206, 208, 209, 209, 209, 209]
-brick_kilns_zigzag = [65, 187, 217, 225, 230, 241, 241, 248, 253, 257, 261, 268, 269]
+# Dropdown to select the location
+
+# Define historical data for Lucknow
+years_lucknow = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]
+brick_kilns_total_lucknow = [117, 314, 376, 396, 408, 432, 433, 454, 461, 466, 470, 477, 478]
+brick_kilns_fcb_lucknow = [52, 127, 159, 171, 178, 191, 192, 206, 208, 209, 209, 209, 209]
+brick_kilns_zigzag_lucknow = [65, 187, 217, 225, 230, 241, 241, 248, 253, 257, 261, 268, 269]
+
+# Define historical data for Delhi
+years_delhi = [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]
+brick_kilns_total_delhi = [188,502,649,701,719,751,770,770,775,783,794,795,796]
+brick_kilns_fcb_delhi = [184,496,643,695,712,744,742,727,620,401,146,74,37]
+brick_kilns_zigzag_delhi = [4,6,6,6,7,7,28,43,155,382,648,721,759]  
+
+# Select the dataset based on the location
+if location == "Lucknow":
+    years = years_lucknow
+    brick_kilns_total = brick_kilns_total_lucknow
+    brick_kilns_fcb = brick_kilns_fcb_lucknow
+    brick_kilns_zigzag = brick_kilns_zigzag_lucknow
+    title = "Number of Brick Kilns Over Years in Lucknow"
+else:
+    years = years_delhi
+    brick_kilns_total = brick_kilns_total_delhi
+    brick_kilns_fcb = brick_kilns_fcb_delhi
+    brick_kilns_zigzag = brick_kilns_zigzag_delhi
+    title = "Number of Brick Kilns Over Years in Delhi"
 
 # Creating the line plot for the number of brick kilns over the years
 fig_line = go.Figure()
@@ -98,17 +129,18 @@ fig_line.add_trace(go.Scatter(x=years, y=brick_kilns_zigzag, mode='lines+markers
 
 # Adding labels and title to the line chart
 fig_line.update_layout(
-    title="Number of Brick Kilns Over Years in Lucknow",
+    title=title,
     xaxis_title="Years",
     yaxis_title="Number of Brick Kilns",
-    yaxis=dict(tickmode='linear', tick0=0, dtick=25,showgrid=False), 
+    yaxis=dict(tickmode='linear', tick0=0, dtick=100, showgrid=False), 
     width=900
 )
 
 # Adding vertical line for the selected year
 fig_line.add_vline(x=year_selected, line_dash="dash", line_color="black", annotation_text=f"Year {year_selected}")
+
 # Displaying the line chart
-st.plotly_chart(fig_line)    
+st.plotly_chart(fig_line)
 
 # # Emission factors
 # emission_factor_pm25_fcb = 15000 * 6.8  # grams/day per FCB kiln