Delete pages/4_Test.py

pages/4_Test.py

@@ -1,143 +0,0 @@
-import streamlit as st
-import leafmap.foliumap as leafmap
-import json
-import requests
-
-# Functions to dynamically fetch columns
-def get_columns_from_geojson(geojson_data):
-    """Retrieve column names from a GeoJSON data."""
-    if "features" in geojson_data:
-        properties = geojson_data["features"][0]["properties"]
-        return list(properties.keys())
-    return []
-
-def get_columns_from_url(url):
-    """Retrieve column names from a GeoJSON URL."""
-    response = requests.get(url)
-    geojson_data = response.json()
-    return get_columns_from_geojson(geojson_data)
-
-st.set_page_config(layout="wide")
-
-# Sidebar Information
-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)
-    '''
-)
-
-# Title and Description
-st.title("Interactive Analysis of Hate Metrics in London & Custom Dataset Visualization")
-
-st.markdown(
-    '''
-    Dive into an interactive analysis of hate metrics in London, exploring the disparities and correlations between hate-related tweets and reported crimes in boroughs. This platform offers a comparative visualization based on data from X and the London Metropolitan Police Service as of December 2022. 
-    
-    Additionally, users can upload and visualize their own GeoJSON datasets, facilitating personalized analysis and insights. Delve deeper into the patterns of hate sentiment, understand how online behavior might mirror real-world incidents, or uncover patterns in your own data.
-    '''
-)
-
-# File Uploader
-uploaded_file = st.file_uploader("Upload a GeoJSON file", type=["geojson"])
-uploaded_geojson = None
-
-# Map URLs
-map_1 = "https://raw.githubusercontent.com/yunusserhat/data/main/data/boroughs_count_df_2022_dec.geojson"
-map_2 = "https://raw.githubusercontent.com/yunusserhat/data/main/data/mps_hate_2022_dec_count.geojson"
-map_3 = "https://raw.githubusercontent.com/yunusserhat/data/main/data/mps2022dec_count.geojson"
-
-if uploaded_file:
-    try:
-        uploaded_geojson = json.load(uploaded_file)
-        if "features" not in uploaded_geojson:
-            st.warning("The uploaded file does not seem to be a valid GeoJSON format.")
-            uploaded_geojson = None
-        else:
-            st.success("GeoJSON file uploaded successfully!")
-    except json.JSONDecodeError:
-        st.error("Failed to decode the uploaded file. Please ensure it's a valid GeoJSON format.")
-
-# Map Selection
-map_choices = ["Hate Tweets", "MPS Hate Crime Data", "MPS All Crime Data"]
-if uploaded_geojson:
-    map_choices.append("Uploaded GeoJSON")
-
-selected_map_1 = st.selectbox("Select data for Map 1", map_choices)
-
-# Determine the columns based on the selected dataset for Map 1
-if selected_map_1 == "Uploaded GeoJSON" and uploaded_geojson:
-    available_columns_1 = get_columns_from_geojson(uploaded_geojson)
-elif selected_map_1 == "Hate Tweets":
-    available_columns_1 = get_columns_from_url(map_1)
-elif selected_map_1 == "MPS Hate Crime Data":
-    available_columns_1 = get_columns_from_url(map_2)
-elif selected_map_1 == "MPS All Crime Data":
-    available_columns_1 = get_columns_from_url(map_3)
-
-selected_column_1 = st.selectbox("Select column for Map 1 visualization", available_columns_1)
-
-selected_map_2 = st.selectbox("Select data for Map 2", map_choices)
-
-# Determine the columns based on the selected dataset for Map 2
-if selected_map_2 == "Uploaded GeoJSON" and uploaded_geojson:
-    available_columns_2 = get_columns_from_geojson(uploaded_geojson)
-elif selected_map_2 == "Hate Tweets":
-    available_columns_2 = get_columns_from_url(map_1)
-elif selected_map_2 == "MPS Hate Crime Data":
-    available_columns_2 = get_columns_from_url(map_2)
-elif selected_map_2 == "MPS All Crime Data":
-    available_columns_2 = get_columns_from_url(map_3)
-
-selected_column_2 = st.selectbox("Select column for Map 2 visualization", available_columns_2)
-
-# Display Maps
-row1_col1, row1_col2 = st.columns([1, 1])
-
-with row1_col1:
-    m1 = leafmap.Map(center=[51.50, -0.1], zoom=10)
-    if selected_map_1 == "Uploaded GeoJSON":
-        m1.add_data(uploaded_geojson, column=selected_column_1)
-    elif selected_map_1 == "Hate Tweets":
-        m1.add_data(map_1, column=selected_column_1)
-    elif selected_map_1 == "MPS Hate Crime Data":
-        m1.add_data(map_2, column=selected_column_1)
-    else:
-        m1.add_data(map_3, column=selected_column_1)
-
-with row1_col2:
-    m2 = leafmap.Map(center=[51.50, -0.1], zoom=10)
-    if selected_map_2 == "Uploaded GeoJSON":
-        m2.add_data(uploaded_geojson, column=selected_column_2)
-    elif selected_map_2 == "Hate Tweets":
-        m2.add_data(map_1, column=selected_column_2)
-    elif selected_map_2 == "MPS Hate Crime Data":
-        m2.add_data(map_2, column=selected_column_2)
-    else:
-        m2.add_data(map_3, column=selected_column_2)
-
-# Zoom
-longitude = -0.1
-latitude = 51.50
-zoomlevel = st.number_input("Zoom", 0, 20, 10)
-
-row2_col1, row2_col2 = st.columns([1, 1])
-
-with row2_col1:
-    m1.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:
-    m1.to_streamlit()
-with row3_col2:
-    m2.to_streamlit()