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app.py

@@ -1,4 +1,3 @@
-
 import os  # For filesystem operations
 import shutil  # For directory cleanup
 import zipfile  # For extracting model archives
@@ -137,8 +136,7 @@ def do_predict(phone_hours, computer_hours, device_count, sleep_quality_label, s
 
         md = f"**Prediction:** {pred_label}"
         if proba_dict:
-            md += f"  
-**Confidence:** {round(proba_dict.get(pred_label, 0.0) * 100, 2)}%"
+            md += f"  \n**Confidence:** {round(proba_dict.get(pred_label, 0.0) * 100, 2)}%"
         print("Markdown output (md):")
         print(md)
 
@@ -163,9 +161,9 @@ EXAMPLES = [
 with gradio.Blocks() as demo:
     # Provide an introduction
     gradio.Markdown("# Device Use Before Sleep Predictor")
-    gradio.Markdown("
-This app predicts whether a student uses their device before sleep based on their device usage and sleeping habits.
-")
+    gradio.Markdown("""
+    This app predicts whether a student uses their device before sleep based on their device usage and sleeping habits.
+    """)
 
     with gradio.Row():
         phone_hours = gradio.Slider(0, 10, step=0.1, value=2.0, label=FEATURE_COLS[0])