add app

app.py

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+import streamlit as st
+import ast
+from PIL import Image
+import leafmap.foliumap as leafmap
+
+st.set_page_config(layout="wide")
+image = Image.open('data/logo.png')
+it_map = Image.open('data/italy_map.png')
+header = st.container()
+
+#Using "with" notation
+
+with st.sidebar:
+    logo = st.image(image)
+    add_radio = st.radio(
+        "Menu",
+        ("Home", "EDA", "Modelling", "Demo")
+    )
+
+def get_layers(url):
+    options = leafmap.get_wms_layers(url)
+    return options
+
+
+with header:
+    st.title("AI for sustainable agriculture and foood systems:Use of Satellite Imagery!")
+    st.text('''Over five weeks in October 2022, Omdena-Milan Local Chapter collaborators completed a local chapter challenge 
+on applying Artificial Intelligence (AI) and Satellite imagery for sustainable agri-food systems.To this end, the 
+Omdena-Milan Local Chapter collaborators explored various machine learning (ML) and data science techniques and
+geographic information systems (GIS) methods. The team worked on different tasks which are independent of each other
+to address the same project goal. For demonstration, the team integrated all of them into one dashboard with good usability
+for non-technical decision-makers. 
+''')
+    #mp = st.image(it_map)
+
+row1_col1, row1_col2 = st.columns([3, 1.3])
+width = 800
+height = 600
+layers = None
+
+
+url = "https://services.terrascope.be/wms/v2"
+
+m = leafmap.Map(center=(42.3, 14), zoom=6)
+
+if layers is not None:
+    for layer in layers:
+        m.add_wms_layer(
+            url, layers=layer, name=layer, attribution=" ", transparent=True
+        )
+
+m.to_streamlit(height=height)

requirements.txt

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+leafmap
+owslib