Update app.py

app.py

@@ -1,12 +1,10 @@
 import gradio as gr
 from gradio_folium import Folium
-from folium import Map, Marker, PolyLine, Icon
 import pandas as pd
 import numpy as np
 from geopy.distance import geodesic
-import folium
 
-# Calculate distances between all pairs of coordinates
+
 def calculate_distances(coords):
     distances = []
     num_coords = len(coords)
@@ -94,8 +92,8 @@ def generate_map_with_stats(postcode_groups_input):
 
 iface = gr.Interface(
     fn=generate_map_with_stats,
-    inputs=gr.inputs.Textbox(label="Enter postcode groups", placeholder="E.g. '83,84' for Batu Pahat and Muar"),
-    outputs=[Folium(), "text"],
+    inputs="text",
+    outputs=["folium", "text"],
     title="99 Speedmart Stores Analyzer",
     description="This app allows you to <b>input <a href='https://en.wikipedia.org/wiki/Postal_codes_in_Malaysia#:~:text=Postal%20codes%20in%20Malaysia%20%2D%20Wikipedia,History'>postcode areas</a></b> and <b>visualize</b> the locations of <a href='https://www.99speedmart.com.my/About'>99 Speedmart</a> stores within those areas.\n \nYou can <b>analyze the shortest, longest, and average distances</b> between stores. \nEnter the first few digits of the postcode (up to 5 digits) and you may combine multiple postcode areas by separating them by commas.\n\n\nYou may try: \n\n 811,813 for Tebrau(811xx) and Kempas(813xx) \n\n 4 for Klang(4xxxx) \n\n 83 for Batu Pahat(83xxx)",
     article="\n\n\n*Store location data was last updated in February 2024.",