Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+
+# Load the Excel file into a DataFrame (adjust the file path accordingly)
+df = pd.read_excel('Book1.xlsx')
+
+# Clean up the DataFrame (strip any unnecessary whitespaces in column names)
+df.columns = df.columns.str.strip()
+
+# Function to search buses by location
+def search_by_location(location):
+    # Filter buses that have the location in their routes
+    buses_with_location = df[df['Routes'].str.contains(location, case=False, na=False)]
+    return buses_with_location
+
+# Function to get the route of a selected bus
+def get_route_by_bus(bus_name):
+    # Get the route for the selected bus
+    bus_route = df[df['Dhaka Local Buses'] == bus_name]['Routes'].values
+    if len(bus_route) > 0:
+        return bus_route[0]
+    else:
+        return "No route found for this bus."
+
+# Streamlit app
+def main():
+    st.title("Dhaka Local Buses and Routes Finder")
+    
+    # Bus Name Search Section
+    st.header("Search Bus Name")
+    bus_name = st.selectbox('Select a Bus Name', df['Dhaka Local Buses'].tolist())
+    if bus_name:
+        route = get_route_by_bus(bus_name)
+        st.write(f"Routes for **{bus_name}**:")
+        st.write(route)
+    
+    # Location Search Section
+    st.header("Search Location")
+    location = st.text_input('Enter a location (e.g., Gabtoli, Mirpur)', '').strip()
+    if location:
+        buses = search_by_location(location)
+        if not buses.empty:
+            st.write(f"Buses passing through **{location}**:")
+            for idx, row in buses.iterrows():
+                st.write(f"- {row['Dhaka Local Buses']}: {row['Routes']}")
+        else:
+            st.write(f"No buses found for the location '**{location}**'.")
+
+if __name__ == "__main__":
+    main()