Please note that the information displayed may contain sentences containing hateful content. Kindly keep this in mind before reviewing the details.
' st.markdown( """ The interactive map illustrate a hate crime tweets in London boroughs for the month of December 2022. Model 1 is the latest model from [TweetNLP](https://arxiv.org/pdf/2206.14774.pdf) and [CardiffNLP](https://huggingface.co/cardiffnlp/twitter-roberta-base-hate-multiclass-latest), and Model 2 is an older version of Model 1, owned by [Dimosthenis Antypas](https://huggingface.co/antypasd/). Both models have been utilized for hate speech detection. """ ) st.markdown(please_note, unsafe_allow_html=True) st.markdown( """ """ ) # add whitebox tools to the map m = leafmap.Map(center=[51.50, -0.1], zoom=10) tweets2 = 'https://raw.githubusercontent.com/yunusserhat/data/main/data/London2022DecHateTweetsLatLong.csv' borough2 = 'https://raw.githubusercontent.com/yunusserhat/data/main/data/londonborough.geojson' tweets = 'https://raw.githubusercontent.com/yunusserhat/data/main/data/multiclass_latest_latlng.csv' borough = 'https://raw.githubusercontent.com/yunusserhat/data/main/data/londonborough.geojson' map_option = st.selectbox('Choose a Map', ('Model 1', 'Model 2')) palette_model_1 = ["red", "blue", "green", "yellow", "purple", "orange"] palette_model_2 = ["red", "blue", "green", "yellow", "purple"] if map_option == 'Model 1': m.add_geojson(borough, layer_name='London Boroughs') m.add_points_from_xy( tweets, x="Longitude", y="Latitude", color_column='Hate Prediction', palette=palette_model_1, spin=True, add_legend=True ) else: m.add_geojson(borough2, layer_name='London Boroughs 2') m.add_points_from_xy( tweets2, x="Longitude", y="Latitude", color_column='Hate Prediction', palette=palette_model_2, spin=True, add_legend=True ) m.to_streamlit()