update

Application.py

@@ -39,14 +39,14 @@ st.markdown(
 )
 
 m = leafmap.Map(center=[51.50, -0.1], zoom=10)
-tweets = 'https://raw.githubusercontent.com/yunusserhat/Github/main/data/londonjan2023prediction.csv'
+tweets = 'https://raw.githubusercontent.com/yunusserhat/Github/main/data/London2022DecHateTweetsLatLong.csv'
 borough = 'https://raw.githubusercontent.com/yunusserhat/Github/main/data/londonborough.geojson'
 
 m.add_geojson(borough, layer_name='London Boroughs')
 m.add_points_from_xy(
     tweets,
-    x="longitude",
-    y="latitude"
+    x="Longitude",
+    y="Latitude"
     # ,
     # color_column='hate_pred',
     # icon_names=['gear', 'map', 'leaf', 'globe'],

pages/1_🔥_Heatmap.py

@@ -1,34 +0,0 @@
-import streamlit as st
-import leafmap.foliumap as leafmap
-
-st.set_page_config(layout="wide")
-
-st.sidebar.info(
-    """
-    - Web App URL: <https://interactive-crime-map.hf.space/>
-    - HuggingFace repository: <https://huggingface.co/spaces/interactive-crime/map/tree/main>
-    """
-)
-
-st.sidebar.title("Contact")
-st.sidebar.info(
-    """
-    Yunus Serhat Bıçakçı at [yunusserhat.com](https://yunusserhat.com) | [GitHub](https://github.com/yunusserhat) | [Twitter](https://twitter.com/yunusserhat) | [LinkedIn](https://www.linkedin.com/in/yunusserhat)
-    """
-)
-
-st.title("Heatmap")
-
-with st.expander("See source code"):
-    with st.echo():
-        tweets = "https://raw.githubusercontent.com/yunusserhat/Github/main/data/boroughs_count_df_2023.csv"
-        m = leafmap.Map(center=[51.50, -0.1], zoom=10, tiles="stamentoner")
-        m.add_heatmap(
-            tweets,
-            latitude="latitude",
-            longitude="longitude",
-            value="count",
-            name="Heat map",
-            radius=20,
-        )
-m.to_streamlit(height=700)

pages/2_↔️_Comparision.py

@@ -0,0 +1,78 @@
+import streamlit as st
+import leafmap.foliumap as leafmap
+import leafmap.colormaps as cm
+
+st.set_page_config(layout="wide")
+
+st.sidebar.info(
+    """
+    - Web App URL: <https://interactive-crime-map.hf.space/>
+    - HuggingFace repository: <https://huggingface.co/spaces/interactive-crime/map/tree/main>
+    """
+)
+
+st.sidebar.title("Contact")
+st.sidebar.info(
+    """
+    Yunus Serhat Bıçakçı at [yunusserhat.com](https://yunusserhat.com) | [GitHub](https://github.com/yunusserhat) | [Twitter](https://twitter.com/yunusserhat) | [LinkedIn](https://www.linkedin.com/in/yunusserhat)
+    """
+)
+
+st.title("Comparision of Hate Tweets and Crime Rates")
+st.markdown(
+    """
+    These interactive maps illustrate a comparison of overall borough-level rates based on Twitter and London Metropolitan Police Service data as of December 2022.
+    
+    The interactive map in the first column displays the representation of hate tweets, while the interactive map in the second column represents the rates of all crimes.
+    
+    """
+)
+
+
+row1_col1, row1_col2 = st.columns([1, 1])
+
+with row1_col1:
+
+            twitter = "https://raw.githubusercontent.com/yunusserhat/Github/main/data/boroughs_count_df_2022_dec.geojson"
+
+            m = leafmap.Map(center=[51.50, -0.1], zoom=10)
+            m.add_data(
+                twitter,
+                column="count",
+                scheme='Quantiles',
+                cmap='Blues',
+                legend_title='Hate Tweets'
+            )
+
+
+with row1_col2:
+
+            mps = "https://raw.githubusercontent.com/yunusserhat/Github/main/data/mps2022dec_count.geojson"
+
+            m2 = leafmap.Map(center=[51.50, -0.1], zoom=10)
+            m2.add_data(
+                mps,
+                column="Crime_Number",
+                scheme='Quantiles',
+                cmap='Blues',
+                legend_title='Crime Rates'
+            )
+
+row2_col1, row2_col2 = st.columns([1, 1])
+
+with row2_col1:
+    longitude = st.number_input("Longitude", -180.0, 180.0, -0.1)
+    latitude = st.number_input("Latitude", -90.0, 90.0, 51.50)
+    zoomlevel = st.number_input("Zoom", 0, 20, 10)
+    m.set_center(longitude, latitude, zoomlevel)
+
+with row2_col2:
+    m2.set_center(longitude, latitude, zoomlevel)
+
+row3_col1, row3_col2 = st.columns([1, 1])
+
+with row3_col1:
+    m.to_streamlit(height=700)
+
+with row3_col2:
+    m2.to_streamlit(height=700)

pages/2_🔲_ChatBot.py

@@ -1,72 +0,0 @@
-import streamlit as st
-from streamlit_chat import message
-from streamlit_extras.colored_header import colored_header
-from streamlit_extras.add_vertical_space import add_vertical_space
-from hugchat import hugchat
-
-st.set_page_config(layout="wide")
-
-
-st.sidebar.info(
-    """
-    - Web App URL: <https://interactive-crime-map.hf.space/>
-    - HuggingFace repository: <https://huggingface.co/spaces/interactive-crime/map/tree/main>
-    """
-)
-
-st.sidebar.title("Contact")
-st.sidebar.info(
-    """
-    Yunus Serhat Bıçakçı at [yunusserhat.com](https://yunusserhat.com) | [GitHub](https://github.com/yunusserhat) | [Twitter](https://twitter.com/yunusserhat) | [LinkedIn](https://www.linkedin.com/in/yunusserhat)
-    """
-)
-
-st.title("Crime ChatBot")
-
-
-# Generate empty lists for generated and past.
-## generated stores AI generated responses
-if 'generated' not in st.session_state:
-    st.session_state['generated'] = ["I'm Crime ChatBot, How may I help you?"]
-
-## past stores User's questions
-if 'past' not in st.session_state:
-    st.session_state['past'] = ['Hello!']
-
-# Layout of input/response containers
-input_container = st.container()
-colored_header(label='', description='', color_name='blue-30')
-response_container = st.container()
-
-
-# User input
-## Function for taking user provided prompt as input
-def get_text():
-    input_text = st.text_input("You: ", "", key="input")
-    return input_text
-
-
-## Applying the user input box
-with input_container:
-    user_input = get_text()
-
-
-# Response output
-## Function for taking user prompt as input followed by producing AI generated responses
-def generate_response(prompt):
-    chatbot = hugchat.ChatBot()
-    response = chatbot.chat(prompt)
-    return response
-
-
-## Conditional display of AI generated responses as a function of user provided prompts
-with response_container:
-    if user_input:
-        response = generate_response(user_input)
-        st.session_state.past.append(user_input)
-        st.session_state.generated.append(response)
-
-    if st.session_state['generated']:
-        for i in range(len(st.session_state['generated'])):
-            message(st.session_state['past'][i], is_user=True, key=str(i) + '_user')
-            message(st.session_state["generated"][i], key=str(i))

pages/3_📋_Types.py

@@ -1,85 +0,0 @@
-import datetime
-import os
-import pathlib
-import requests
-import zipfile
-import pandas as pd
-import pydeck as pdk
-import geopandas as gpd
-import streamlit as st
-import leafmap.colormaps as cm
-from leafmap.common import hex_to_rgb
-import leafmap.foliumap as leafmap
-
-
-st.set_page_config(layout="wide")
-
-st.sidebar.info(
-    """
-    - Web App URL: <https://interactive-crime-map.hf.space/>
-    - HuggingFace repository: <https://huggingface.co/spaces/interactive-crime/map/tree/main>
-    """
-)
-
-st.sidebar.title("Contact")
-st.sidebar.info(
-    """
-    Yunus Serhat Bıçakçı at [yunusserhat.com](https://yunusserhat.com) | [GitHub](https://github.com/yunusserhat) | [Twitter](https://twitter.com/yunusserhat) | [LinkedIn](https://www.linkedin.com/in/yunusserhat)
-    """
-)
-
-st.title("Heatmap")
-
-tweets = 'https://raw.githubusercontent.com/yunusserhat/Github/main/data/testimport.csv'
-borough = 'https://raw.githubusercontent.com/yunusserhat/Github/main/data/londonborough.geojson'
-
-def get_data_dict(name):
-    in_csv = tweets
-    df = pd.read_csv(in_csv)
-    label = list(df[df["hate_pred"] == name]["Borough"])[0]
-    desc = list(df[df["hate_pred"] == name]["Borough"])[0]
-    return label, desc
-
-
-def app():
-    st.title("Crime Types")
-    st.markdown(
-        """
-        This page shows the crime types in London. You can select a crime type from the sidebar and see the heatmap of that crime type.
-    """
-    )
-
-    row1_col1, row1_col2 = st.columns([3, 1.3])
-    width = 800
-    height = 600
-    layers = None
-
-    with row1_col2:
-        show_desc = st.checkbox("Show attribute description")
-        if show_desc:
-            try:
-                label, desc = get_data_dict()
-                markdown = f"""
-                **{label}**: {desc}
-                """
-                st.markdown(markdown)
-            except:
-                st.warning("No description available for selected attribute")
-
-
-    with row1_col1:
-            m = leafmap.Map(center=(51.50, -0.1), zoom=10)
-            m.add_geojson(borough, layer_name='London Boroughs')
-            # if layers is not None:
-            #     for layer in layers:
-            #         m.add_wms_layer(
-            #             url, layers=layer, name=layer, attribution=" ", transparent=True
-            #         )
-            # if add_legend and legend_text:
-            #     legend_dict = ast.literal_eval(legend_text)
-            #     m.add_legend(legend_dict=legend_dict)
-
-            m.to_streamlit(height=height)
-
-
-app()

pages/4_Choropleth.py

@@ -21,14 +21,15 @@ st.title("Choropleth")
 
 with st.expander("See source code"):
     with st.echo():
-        data = "https://raw.githubusercontent.com/yunusserhat/Github/main/data/boroughs_count_df_2023.geojson"
+        data = "https://raw.githubusercontent.com/yunusserhat/Github/main/data/boroughs_count_df_2022_dec.geojson"
+
         m = leafmap.Map(center=[51.50, -0.1], zoom=10)
         m.add_data(
             data,
             column = "count",
-            scheme='EqualInterval',
+            scheme='Quantiles',
             cmap='Blues',
-            legend_title='Total Tweet per Borough',
+            legend_title='Hate Tweets'
         )
 
 m.to_streamlit(height=700)