Update app.py

app.py

@@ -151,18 +151,43 @@ def create_annotated_text(original_text, word_results):
 def create_interface():
     with gr.Blocks(title="Google Cloud Natural Language Classifier") as app:
         gr.Markdown("""
-        # Google Cloud Natural Language Text Classifier
+        # Google Cloud Natural Language Text Classifier (V2 Model)
         
-        This app uses Google Cloud's Natural Language API to classify text content.
+        This intelligent text classification tool leverages Google Cloud's powerful Natural Language API V2 model to analyze and categorize your content with high accuracy and confidence scores.
         
-        **Setup Requirements:**
-        1. Set up Google Cloud credentials as environment variable `GOOGLE_APPLICATION_CREDENTIALS_JSON`
-        2. Enable the Natural Language API in your Google Cloud project
+        ## How to Use This Tool
         
-        **Features:**
-        - Classifies individual words in your text
-        - Classifies the entire paragraph
-        - Shows confidence scores for all classifications
+        1. **Enter Your Text**: Type or paste any paragraph, article excerpt, or text content into the input box on the left
+        2. **Click "Analyze Text"**: Hit the analyze button to process your content
+        3. **Review Results**: The tool provides three types of analysis:
+           - **Word-Level Classification**: Each unique word gets categorized individually with confidence scores
+           - **Annotated Text**: Your original text with inline category labels and confidence scores
+           - **Paragraph-Level Classification**: The entire text analyzed as a cohesive unit
+        
+        ## What You'll Get
+        
+        - **Detailed Categories**: Content is classified into specific categories like `/Arts & Entertainment/Movies`, `/Business & Industrial/Finance`, `/Health/Medical`, etc.
+        - **Confidence Scores**: Each classification includes a confidence score (0-1) indicating how certain the AI is about the categorization
+        - **Multiple Classifications**: Words and paragraphs can belong to multiple categories simultaneously
+        - **Comprehensive Analysis**: Both granular (word-level) and holistic (paragraph-level) insights
+        
+        ## Perfect For
+        
+        - Content creators organizing their material
+        - Researchers analyzing text themes
+        - Marketers understanding content categories
+        - Students exploring text classification
+        - Anyone curious about how AI categorizes written content
+        
+        ## Powered By
+        
+        This tool uses Google Cloud's Natural Language API V2 model for superior performance and accuracy. The V2 model supports an expanded set of content categories for more precise classification.
+        
+        **Source**: [Google Cloud Natural Language API - Content Categories](https://cloud.google.com/natural-language/docs/categories#version_2)
+        
+        ---
+        
+        **Try the examples below or enter your own text to get started!**
         """)
         
         with gr.Row():