cache

demo.py

@@ -21,6 +21,10 @@ import streamlit as st
 # Load from huggingface
 # sm = spacy.load('en_core_web_sm', disable=['ner'])
 
+st.set_page_config(page_title="ENGAGEMENT analyzer (beta ver 0.1)",
+                   layout="wide",
+                   initial_sidebar_state="expanded")
+
 
 @st.cache(allow_output_mutation=True)
 def load_model(spacy_model):
@@ -28,7 +32,7 @@ def load_model(spacy_model):
     return (nlp)
 
 
-nlp = spacy.load("en_engagement_RoBERTa_combined")
+nlp = load_model("en_engagement_RoBERTa_combined")
 
 doc = nlp(
     'Welcome! Probably this is one of the few attempts to teach a machine how to read the discourse...! Although it is not perfect, you should be able to get a good place to start for your stance-taking analyses. The result will be presented here.'
@@ -181,10 +185,6 @@ def delete_overlapping_span(span_sc: dict):
             continue
 
 
-st.set_page_config(page_title="ENGAGEMENT analyzer (beta ver 0.1)",
-                   layout="wide",
-                   initial_sidebar_state="expanded")
-
 # st.markdown('''
 #     <style>
 #         .sidebar .sidebar-content {{
@@ -232,7 +232,7 @@ st.sidebar.markdown("""
 cc = '<a rel="license" href="http://creativecommons.org/licenses/by-nc/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc/4.0/">Creative Commons Attribution-NonCommercial 4.0 International License</a>.'
 st.sidebar.markdown(cc, unsafe_allow_html=True)
 
-st.title("Engagement Analyzer (beta ver 0.1)")
+# st.title("Engagement Analyzer (beta ver 0.1)")
 st.write(
     "Engagement Analyzer is a free tool that analyzes English texts for rhetorical strategies under the Engagement system framework (Martin & White, 2005). Martin and White (2005) propose two basic stance-taking strategies: expansion and contraction, which are in turn divided into finer-grained rhetorical strategies. The current tool allows you to analyze texts for a total of nine rhetorical strategies. The definitions of each category label can be found from the side bar"
 )