clean up

app.py

@@ -57,20 +57,40 @@ st.markdown(
 ############################################
 st.write("<h2><div style='text-align: center;'>User Inputs</div></h2>", unsafe_allow_html=True)
 
-st.write("Select the vegetation indices to calculate:")
-all_veg_indices = ["NDVI", "EVI", "EVI2"]
-formulas = {
-    "NDVI": r"$\frac{NIR - Red}{NIR + Red}$",
-    "EVI": r"$G \times \frac{NIR - Red}{NIR + C1 \times Red - C2 \times Blue + L}$",
-    "EVI2": r"$G \times \frac{NIR - Red}{NIR + L + C \times Red}$",
-}
-defaults = [True, False, False]
-veg_indices = []
-for veg_index, default in zip(all_veg_indices, defaults):
-    if st.checkbox(f"{veg_index} = {formulas[veg_index]}", value=default):
-        veg_indices.append(veg_index)
+# Input: GeoJSON/KML file
+file_url = st.query_params.get("file_url", None)
+if file_url is None:
+    file_url = st.file_uploader("Upload KML/GeoJSON file", type=["geojson", "kml", "shp"])
 
-with st.expander("EVI/EVI2 Parameters"):
+def show_credits():
+    # Add credits
+    st.write(
+        """
+        <div style="display: flex; justify-content: center; align-items: center; margin-top: 20px;">
+            <p style="text-align: left;">This tool is developed by <a href="https://sustainability-lab.github.io/">Sustainability Lab</a>, <a href="https://www.iitgn.ac.in/">IIT Gandhinagar</a> and supported by <a href="https://forests.gujarat.gov.in/">Gujarat Forest Department</a></p>""",
+        unsafe_allow_html=True,
+    )
+    
+if file_url is None:
+    st.warning(
+    "Please provide a KML or GeoJSON URL as a query parameter, e.g., `?file_url=<your_file_url>` or upload a file."
+    )
+    show_credits()
+    st.stop()
+
+with st.expander("Advanced Settings"):
+    st.write("Select the vegetation indices to calculate:")
+    all_veg_indices = ["NDVI", "EVI", "EVI2"]
+    formulas = {
+        "NDVI": r"$\frac{NIR - Red}{NIR + Red}$",
+        "EVI": r"$G \times \frac{NIR - Red}{NIR + C1 \times Red - C2 \times Blue + L}$",
+        "EVI2": r"$G \times \frac{NIR - Red}{NIR + L + C \times Red}$",
+    }
+    defaults = [True, False, False]
+    veg_indices = []
+    for veg_index, default in zip(all_veg_indices, defaults):
+        if st.checkbox(f"{veg_index} = {formulas[veg_index]}", value=default):
+            veg_indices.append(veg_index)
     st.write("Select the parameters for the EVI/EVI2 calculation (default is as per EVI's Wikipedia page)")
     cols = st.columns(5)
     evi_vars = {}
@@ -85,8 +105,6 @@ with st.expander("EVI/EVI2 Parameters"):
 
 # Function of find best suited statewise EPSG code
 def get_gdf_from_file_url(file_url):
-    if file_url is None:
-        st.stop()
     if isinstance(file_url, str):
         if file_url.startswith("https://drive.google.com/file/d/"):
             ID = file_url.replace("https://drive.google.com/file/d/", "").split("/")[0]
@@ -419,10 +437,10 @@ wayback_mapping = st.session_state.wayback_mapping
 ############################################
 
 # Input: Satellite Sources
-st.write("Select the satellite sources:")
+st.markdown(f"Satellite source: `{list(satellites.keys())[0]}`")
 satellite_selected = {}
 for satellite in satellites:
-    satellite_selected[satellite] = st.checkbox(satellite, value=True, disabled=True)
+    satellite_selected[satellite] = satellite
 
 # Date range input
 max_year = datetime.now().year
@@ -431,15 +449,13 @@ dec_31 = pd.to_datetime(f"{max_year}/12/31", format="%Y/%m/%d")
 nov_15 = pd.to_datetime(f"{max_year}/11/15", format="%Y/%m/%d")
 dec_15 = pd.to_datetime(f"{max_year}/12/15", format="%Y/%m/%d")
 input_daterange = st.date_input(
-    "Date Range (Ignore year. App will compute indices for all possible years)", (nov_15, dec_15), jan_1, dec_31
+    "Date Range (Ignore year. App will compute indices for this date range in each year starting from \"Minimum Year\" to \"Maximum Year\")", (nov_15, dec_15), jan_1, dec_31
 )
-min_year = int(st.number_input("Minimum Year", value=2019, min_value=2015, step=1))
-max_year = int(st.number_input("Maximum Year", value=max_year, min_value=2015, step=1))
-
-# Input: GeoJSON/KML file
-file_url = st.query_params.get("file_url", None)
-if file_url is None:
-    file_url = st.file_uploader("Upload KML/GeoJSON file", type=["geojson", "kml", "shp"])
+cols = st.columns(2)
+with cols[0]:
+    min_year = int(st.number_input("Minimum Year", value=2019, min_value=2015, step=1))
+with cols[1]:
+    max_year = int(st.number_input("Maximum Year", value=max_year, min_value=2015, step=1))
 
 buffer = st.number_input("Buffer (m)", value=50, min_value=0, step=1)
 
@@ -502,12 +518,33 @@ stats_df = pd.DataFrame(
     }
 )
 st.write("<h3><div style='text-align: center;'>Geometry Metrics</div></h3>", unsafe_allow_html=True)
+# st.markdown(
+#     f"""| Metric | Value |
+# | --- | --- |
+# | Area (m^2) | {stats_df['Area (m^2)'].item():.2f} m^2 = {stats_df['Area (m^2)'].item()/10000:.2f} ha |
+# | Perimeter (m) | {stats_df['Perimeter (m)'].item():.2f} m |
+# """
+# )
 st.markdown(
-    f"""| Metric | Value |
-| --- | --- |
-| Area (m^2) | {stats_df['Area (m^2)'].item():.2f} m^2 = {stats_df['Area (m^2)'].item()/10000:.2f} ha |
-| Perimeter (m) | {stats_df['Perimeter (m)'].item():.2f} m |
-"""
+    f"""
+    <div style="display: flex; justify-content: center;">
+        <table style="border-collapse: collapse; width: 50%; text-align: center;">
+            <tr>
+                <th style="border: 1px solid black; padding: 8px;">Metric</th>
+                <th style="border: 1px solid black; padding: 8px;">Value</th>
+            </tr>
+            <tr>
+                <td style="border: 1px solid black; padding: 8px;">Area</td>
+                <td style="border: 1px solid black; padding: 8px;">{stats_df['Area (m^2)'].item()/10000:.2f} ha</td>
+            </tr>
+            <tr>
+                <td style="border: 1px solid black; padding: 8px;">Perimeter</td>
+                <td style="border: 1px solid black; padding: 8px;">{stats_df['Perimeter (m)'].item():.2f} m</td>
+            </tr>
+        </table>
+    </div>
+    """,
+    unsafe_allow_html=True
 )
 
 stats_csv = stats_df.to_csv(index=False)
@@ -516,9 +553,8 @@ st.download_button("Download Geometry Metrics", stats_csv, "geometry_metrics.csv
 # Submit
 submit = st.button("Calculate Vegetation Indices", use_container_width=True)
 
-st.write("<h2><div style='text-align: center;'>Results</div></h2>", unsafe_allow_html=True)
-
 if submit:
+    st.write("<h2><div style='text-align: center;'>Results</div></h2>", unsafe_allow_html=True)
     if not any(satellite_selected.values()):
         st.error("Please select at least one satellite source")
         st.stop()
@@ -697,11 +733,4 @@ if "result" in st.session_state:
             )
             m.to_streamlit()
 
-    
-# Add credits
-st.write(
-    """
-    <div style="display: flex; justify-content: center; align-items: center;">
-        <p style="text-align: left;">This tool is developed by <a href="https://sustainability-lab.github.io/">Sustainability Lab</a>, <a href="https://www.iitgn.ac.in/">IIT Gandhinagar</a> and supported by <a href="https://forests.gujarat.gov.in/">Gujarat Forest Department</a></p>""",
-    unsafe_allow_html=True,
-)
+show_credits()