Update app.py

app.py

@@ -7,13 +7,24 @@ def analyze_text(user_text):
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown(
         """
-        # 🔍 AI vs Human Text Detector  
-        Paste any text below and our system will analyze it using **3 different models**  
-        and generate a final average probability.  
+        # 🤖 AI vs Human Text Detector
+
+        Paste any text below. Our system will analyze it using **three advanced models** to detect if the text is AI-generated or human-written.
+
+        ### 📝 Formatting Preservation
+
+        - Your **line breaks, spacing, and Markdown syntax** will be preserved exactly as you paste them.
+        - The input and output text are displayed without any modification.
+        - Perfect for analyzing **code snippets, poetry, or Markdown documents** without losing formatting.
+
+        Click **"🚀 Run Detection"** to start.
         """
     )
 
     with gr.Row():
+        with gr.Column(scale=1):
+            formatted_input_display = gr.Code(label="📝 Your Input (Preserved Formatting)", interactive=False)
+
         with gr.Column(scale=2):
             user_input = gr.Textbox(
                 label="✍️ Enter Text",
@@ -30,12 +41,12 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
 
     def run_analysis(user_text):
         results = analyze_text(user_text)
-        return results, results  # send to both JSON outputs
+        return results, results, user_text  # send input text as-is to output
 
     analyze_btn.click(
         fn=run_analysis,
         inputs=user_input,
-        outputs=[final_output, model_output]
+        outputs=[final_output, model_output, formatted_input_display]
     )
 
-demo.launch()
+demo.launch()