remove folium

app.py

@@ -9,8 +9,9 @@ import numpy as np
 import pandas as pd
 from scipy.signal import find_peaks
 import streamlit as st
-import folium
-from streamlit_folium import st_folium
+
+# import folium
+# from streamlit_folium import st_folium
 import altair as alt
 from io import StringIO
 
@@ -211,9 +212,9 @@ def generate_height_profile_json(df: pd.DataFrame) -> str:
         )
     )
     chart = (
-        (elevation + line_peaks)
-        # .properties(width="container")
-        .properties(height=100, width=750).configure_view(
+        (elevation + line_peaks).properties(width="container")
+        # .properties(height=100, width=750)
+        .configure_view(
             strokeWidth=0,
         )
     )
@@ -225,14 +226,14 @@ gpx_file = st.file_uploader("Upload gpx file", type=["gpx"])
 if gpx_file is not None:
     ave_lat, ave_lon, lon_list, lat_list, h_list = get_gpx(gpx_file)
     df = pd.DataFrame({"lon": lon_list, "lat": lat_list, "elev": h_list})
-    route_map = folium.Map(
-        location=[ave_lat, ave_lon],
-        zoom_start=12,
-    )
-    folium.PolyLine(
-        list(zip(lat_list, lon_list)), color="red", weight=2.5, opacity=1
-    ).add_to(route_map)
-    st_data = st_folium(route_map, height=450, width=850)
+    # route_map = folium.Map(
+    #     location=[ave_lat, ave_lon],
+    #     zoom_start=12,
+    # )
+    # folium.PolyLine(
+    #     list(zip(lat_list, lon_list)), color="red", weight=2.5, opacity=1
+    # ).add_to(route_map)
+    # st_data = st_folium(route_map, height=450, width=850)
     chart = generate_height_profile_json(df)
 
-    st.altair_chart(chart, use_container_width=False)
+    st.altair_chart(chart, use_container_width=True)

requirements.txt

@@ -1,6 +1,6 @@
 streamlit==1.24.0
-folium==0.14.0
-streamlit-folium==0.12.0
-altair==5.0.1
-pandas==2.0.3
+# folium==0.14.0
+# streamlit-folium==0.12.0
+# altair==5.0.1
+# pandas==2.0.3
 scipy==1.11.1