Update app.py

app.py

@@ -8,28 +8,32 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown(
         """
         # 🤖 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)
+            # ✅ Read-only textbox to display exactly what user pasted
+            formatted_input_display = gr.Textbox(
+                label="📝 Your Input (Preserved Formatting)",
+                interactive=False,
+                lines=20,
+                show_copy_button=True
+            )
 
         with gr.Column(scale=2):
+            # ✅ Input also preserves formatting (raw text, multi-line)
             user_input = gr.Textbox(
                 label="✍️ Enter Text",
                 placeholder="Paste text here...",
-                lines=10
+                lines=12,
+                type="text"   # important: raw text mode (not value/number)
             )
             analyze_btn = gr.Button("🚀 Run Detection", variant="primary")
 
@@ -41,7 +45,8 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
 
     def run_analysis(user_text):
         results = analyze_text(user_text)
-        return results, results, user_text  # send input text as-is to output
+        # return results + original raw input
+        return results, results, user_text
 
     analyze_btn.click(
         fn=run_analysis,
@@ -49,4 +54,4 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
         outputs=[final_output, model_output, formatted_input_display]
     )
 
-demo.launch()
+demo.launch()