Update app.py

app.py

@@ -26,7 +26,7 @@ st.sidebar.markdown("""
 # Header and intro
 st.title("Google Cloud NLP Entity Analyzer")
 st.write("This tool analyzes text to identify entities such as people, locations, organizations, and events")
-st.write("Entity salience scores are always relative to the analysed text. In natural language processing, a salience score is always a prediction of what a human would consider to be the most important entities in the same text. A number of textual features contribute to the salience score.")
+st.write("Entity salience scores are always relative to the analysed text. In natural language processing, a salience score is always a prediction of what a human would consider to be the most important entities in the same text.")
 
 def sample_analyze_entities(text_content):
     service_account_info = json.loads(st.secrets["google_nlp"])
@@ -51,18 +51,25 @@ def sample_analyze_entities(text_content):
         st.write(f"Name: {entity.name}")
         st.write(f"Type: {language_v1.Entity.Type(entity.type_).name}")
         st.write(f"Salience Score: {entity.salience}")
-        
+
         if entity.metadata:
             st.write("Metadata:")
             st.write(entity.metadata)
-        
+            
+            if 'mid' in entity.metadata and ('/g/' in entity.metadata['mid'] or '/m/' in entity.metadata['mid']):
+    		entity_id = entity.metadata['mid']
+    		ahref_link = f"https://kgsearch.googleapis.com/v1/entities:search?ids={entity_id}&key={st.secrets['google_nlp']}&limit=1&indent=True"
+    		st.markdown(f'<a href="{ahref_link}" target="_blank">Google Entity Link</a>', unsafe_allow_html=True)
+
+
         if entity.mentions:
             st.write("Mentions:")
-            st.write(entity.mentions)     
+            st.write(', '.join([mention.text.content for mention in entity.mentions]))
+
         st.write("---")
 
 # User input for text analysis
-user_input = st.text_area("Enter text to analyze", max_chars=10000)
+user_input = st.text_area("Enter text to analyze", max_chars=5000)
 
 if st.button("Analyze"):
     if user_input: