revision

demo.py

@@ -282,13 +282,14 @@ visualize_spans(
             "PRONOUNCE": "#92a8d1",
             "ENDORSE": "#034f84",
             "CITATION": "#b2b2b2",
-            "MONOGLOSS": "#3e4444",
+            # "MONOGLOSS": "#3e4444",
             "ATTRIBUTE": "#f7786b",
             "ATTRIBUTION": "#f7786b",
             "PROCLAIM": "#92a8d1",
             "CITATION": "#F8C471",
             "SOURCES": "#F7DC6F",
-            "JUSTIFYING": "#2ECC71"
+            "JUSTIFYING": "#2ECC71",
+            "ENDOPHORIC": "#FAD7A0"
         },
     },
     simple = True

requirements.txt

@@ -1,5 +1,5 @@
 spacy-streamlit==1.0.6
-spacy>3.4.4
+spacy==3.4.4
 scikit-bio==0.5.8
 # pip==23.3.1
 # setuptools
@@ -16,5 +16,5 @@ scikit-bio==0.5.8
 # https://huggingface.co/egumasa/en_engagement_spl_RoBERTa_acad2/resolve/main/en_engagement_spl_RoBERTa_acad2-any-py3-none-any.whl
 # https://huggingface.co/egumasa/en_engagement_spl_RoBERTa_acad2/resolve/main/en_engagement_spl_RoBERTa_acad2-any-py3-none-any.whl
 
-# https://huggingface.co/egumasa/en_engagement_LSTM/resolve/main/en_engagement_LSTM-any-py3-none-any.whl #This is the best in 2023
-https://huggingface.co/egumasa/en_engagement_spl_RoBERTa_base_attention/resolve/main/en_engagement_spl_RoBERTa_base_attention-any-py3-none-any.whl
+https://huggingface.co/egumasa/en_engagement_LSTM/resolve/main/en_engagement_LSTM-any-py3-none-any.whl #This is the best in 2023
+# https://huggingface.co/egumasa/en_engagement_spl_RoBERTa_base_attention/resolve/main/en_engagement_spl_RoBERTa_base_attention-any-py3-none-any.whl