Update app.py

app.py

@@ -15,16 +15,7 @@ import streamlit as st
 def load_model():
     return KeyBERT()
 
-kw_model = load_model()
 
-keywords = kw_model.extract_keywords(
-text_str,
-keyphrase_ngram_range=(1, 2),
-use_mmr=True,
-stop_words="english",
-top_n=15,
-diversity=0.7,
-)
 
 with st.container():
     st.markdown("<h1 style='text-align: center; color: black;'> Policy Action Tracking</h1>", unsafe_allow_html=True)
@@ -35,7 +26,7 @@ with st.expander("ℹ️ - About this app", expanded=True):
 
     st.write(
         """     
-        The *Policy Action Tracker* app is an easy-to-use interface built in Streamlit for analyzing policy documents - developed by GIZ Data and the Sustainable Development Solution Network.
+        The *Policy Action Tracker* app is an easy-to-use interface built with Streamlit for analyzing policy documents - developed by GIZ Data and the Sustainable Development Solution Network.
 
         It uses a minimal keyword extraction technique that leverages multiple NLP embeddings and relies on [Transformers] (https://huggingface.co/transformers/) 🤗 to create keywords/keyphrases that are most similar to a document.
         """