Update app.py

app.py

@@ -1,52 +1,52 @@
-import streamlit as st
-import pandas as pd
-from datetime import datetime
-
-# Initialize the state for the excel file name
-if 'excel_file_name' not in st.session_state:
-    st.session_state.excel_file_name = 'combined_duplicates_removed.csv'
-
-# Streamlit title
-st.title("Bangladesh Accident Monitoring System (BAMS)")
-
-# Button to update the dataset
-if st.button("Update Dataset"):
-    st.session_state.excel_file_name = 'updated.csv'
-
-# Get the current excel file name from session state
-excel_file_name = st.session_state.excel_file_name
-
-# Display a note to the user
-st.write("Please Note, First Date must be smaller than Last date. Example: First Date = 25-08-2024 and Last Date = 28-08-2024")
-
-# Get today's date
-today = datetime.strptime(datetime.today().strftime('%d-%m-%Y'), '%d-%m-%Y')
-
-# Input fields for date range
-start = st.date_input("Enter first date", max_value=today, format="DD-MM-YYYY")
-start_string = start.strftime('%d-%m-%Y')
-end = st.date_input("Enter last date", max_value=today, format="DD-MM-YYYY")
-end_string = end.strftime('%d-%m-%Y')
-
-# Button to generate dataset based on date range
-if st.button("Generate Dataset"):
-    # Read the selected excel file
-    df3 = pd.read_csv(excel_file_name)
-
-    # Convert 'Publish Date' column to datetime with 'day-month-year' format
-    df3['Publish Date'] = pd.to_datetime(df3['Publish Date'], format='%d-%m-%Y')
-
-    # Convert user input dates to datetime
-    start_date = pd.to_datetime(start_string, format='%d-%m-%Y')
-    end_date = pd.to_datetime(end_string, format='%d-%m-%Y')
-
-    # Filter rows based on the specified date range
-    filtered_entries = df3[(df3['Publish Date'] >= start_date) & (df3['Publish Date'] <= end_date)]
-    filtered_entries.reset_index(inplace=True, drop=True)
-
-    # Display the filtered data
-    st.dataframe(filtered_entries)
-
-# Display selected start and end dates
-st.write("Start date is:", start)
-st.write("End date is:", end)
+import streamlit as st
+import pandas as pd
+from datetime import datetime
+
+# Initialize the state for the excel file name
+if 'excel_file_name' not in st.session_state:
+    st.session_state.excel_file_name = 'combined_duplicates_removed.csv'
+
+# Streamlit title
+st.title("Automated Road Accident Monitoring System")
+
+# Button to update the dataset
+if st.button("Update Dataset"):
+    st.session_state.excel_file_name = 'updated.csv'
+
+# Get the current excel file name from session state
+excel_file_name = st.session_state.excel_file_name
+
+# Display a note to the user
+st.write("Please Note, First Date must be smaller than Last date. Example: First Date = 25-08-2024 and Last Date = 28-08-2024")
+
+# Get today's date
+today = datetime.strptime(datetime.today().strftime('%d-%m-%Y'), '%d-%m-%Y')
+
+# Input fields for date range
+start = st.date_input("Enter first date", max_value=today, format="DD-MM-YYYY")
+start_string = start.strftime('%d-%m-%Y')
+end = st.date_input("Enter last date", max_value=today, format="DD-MM-YYYY")
+end_string = end.strftime('%d-%m-%Y')
+
+# Button to generate dataset based on date range
+if st.button("Generate Dataset"):
+    # Read the selected excel file
+    df3 = pd.read_csv(excel_file_name)
+
+    # Convert 'Publish Date' column to datetime with 'day-month-year' format
+    df3['Publish Date'] = pd.to_datetime(df3['Publish Date'], format='%d-%m-%Y')
+
+    # Convert user input dates to datetime
+    start_date = pd.to_datetime(start_string, format='%d-%m-%Y')
+    end_date = pd.to_datetime(end_string, format='%d-%m-%Y')
+
+    # Filter rows based on the specified date range
+    filtered_entries = df3[(df3['Publish Date'] >= start_date) & (df3['Publish Date'] <= end_date)]
+    filtered_entries.reset_index(inplace=True, drop=True)
+
+    # Display the filtered data
+    st.dataframe(filtered_entries)
+
+# Display selected start and end dates
+st.write("Start date is:", start)
+st.write("End date is:", end)