Add application file

app_map.py

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+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+@author: Francesca Priante
+"""
+
+import streamlit as st
+import osmnx as ox
+import io
+import matplotlib.pyplot as plt
+
+# To make it faster
+ox.config(use_cache=True, log_console=True)
+
+
+# %%
+dpi = 100
+walk=0.2
+
+def show_city():
+    place = st.text_input('Insert adress here', value = 'Torino, via Roma')
+    dist = st.slider("Radius in meters", min_value= 500, max_value = 10000, value = 1000, step =100)    
+    col1, col2, col3 = st.columns(3)
+
+    with col1:
+        bgcolor = st.color_picker('Background color','#000000')    
+    with col2:
+        edgecol = st.color_picker('Streets colors','#FFFFFF')
+
+    street_widths = {'footway' : walk,
+                     'steps' : walk,
+                     'pedestrian' : walk,
+                     'path' : walk,
+                     'track' : 0.5,
+                     'service' : 0.5,
+                     'residential' : 0.5,
+                     'primary' : 1,
+                     'motorway' : 2,
+                     'cycleway' : 0.5,
+                     'steps' : walk,
+                     'corridor' : 0.5,
+                     'elevator' : 0.5,
+                     'escalator' : 0.5,
+                     'proposed' : 0.5,
+                     'construction' : 0.5,
+                     'bridleway' : 0.5,
+                     'abandoned' : 0.5,
+                     'platform' : 0.5,
+                     'raceway' : 0.5,
+                     'highway' : 2
+                    }
+
+
+    fig, ax = ox.plot_figure_ground(address=place, network_type='all', 
+    default_width=0.5, dpi=dpi, dist = dist, street_widths=street_widths,
+    edge_color=edgecol, bgcolor =  bgcolor, smooth_joints=False)
+    
+    st.pyplot(fig=fig, clear_figure=None)
+
+    fn = 'MAP.pdf'
+    plt.savefig(fn)
+    with open(fn, "rb") as img:
+        st.download_button(
+            label="Download image",
+            data=img,
+            file_name=fn,
+            mime="image/pdf"
+            )
+    
+    fn = 'MAP.pdf'
+    img = io.BytesIO()
+    plt.savefig(img, format='pdf')
+
+# Icons
+# https://streamlit-emoji-shortcodes-streamlit-app-gwckff.streamlit.app/
+st.set_page_config(page_title="Cool Maps", page_icon=":burrito:") #  📹
+st.markdown("# Cool maps")
+st.markdown(
+"""
+Insert the address of the city of your interest and create minimalist maps.
+You can also choose the background and streets colors. Then download it with the PDF button.
+
+Keep in mind that it can take few minutes to display the map depending on how complex the city is. So the higher the radius, the slower it can be.
+
+App developed with [Streamlit](https://github.com/streamlit/streamlit) and [OSMnx package](https://github.com/gboeing/osmnx) by [Francesca Priante](https://frapria.github.io/)
+"""
+)
+    
+show_city()

requirements.txt

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+osmnx
+matplotlib