Update app.py

app.py

@@ -6,9 +6,7 @@ from google.cloud import language_v1
 # Sidebar content
 st.sidebar.title("About This Tool")
 st.sidebar.markdown("### Descriptive Introduction")
-st.sidebar.markdown("""
-The "Google Cloud NLP Entity Analyzer" is a powerful tool designed to analyze text and identify various types of entities such as people, locations, organizations, and events. Leveraging Google's Natural Language Processing (NLP) technology, this tool provides insights into how Google understands text, which can be particularly useful for Search Engine Optimization (SEO) efforts. It also serves as an interface to the Google Knowledge Graph API, providing additional contextual information about the identified entities.
-""")
+st.sidebar.markdown
 st.sidebar.markdown("### Step-by-Step Guide")
 st.sidebar.markdown("""
 1. **Open the Tool**: Navigate to the URL where the tool is hosted.
@@ -23,11 +21,11 @@ st.sidebar.markdown("""
 
 # Header and intro
 st.title("Google Cloud NLP Entity Analyzer")
-st.write("## Introduction to the Knowledge Graph API")
-st.write("---")
 st.write("""
-The Google Knowledge Graph API reveals entity information related to a keyword, that Google knows about. This information can be very useful for SEO – discovering related topics and what Google believes is relevant. It can also help when trying to claim/win a Knowledge Graph box on search results. The API requires a high level of technical understanding, so this tool creates a simple public interface, with the ability to export data into spreadsheets.
+The "Google Cloud NLP Entity Analyzer" is a powerful tool designed to analyze text and identify various types of entities such as people, locations, organizations, and events. Leveraging Google's Natural Language Processing (NLP) technology, this tool provides insights into how Google understands text, which can be particularly useful for Search Engine Optimization (SEO) efforts. It also serves as an interface to the Google Knowledge Graph API, providing additional contextual information about the identified entities.
 """)
+st.write("---")
+
 
 def sample_analyze_entities(text_content, your_query=""):
     service_account_info = json.loads(st.secrets["google_nlp"])