Update app.py

app.py

@@ -6,7 +6,10 @@ from sklearn.model_selection import train_test_split, GridSearchCV
 import gradio as gr
 import os
 import warnings
+import logging
+
 warnings.filterwarnings('ignore')
+logging.basicConfig(level=logging.INFO)
 
 # Dataset generation
 np.random.seed(42)
@@ -268,9 +271,13 @@ with gr.Blocks(css="""
         text, snack = predict_snack(mood, time_of_day, hunger_level, sentiment, snack_type)
         image_path = f"assets/{snack.replace(' ', '_')}.jpeg"
         if not os.path.exists(image_path):
+            logging.info(f"Image not found: {image_path}")
             image_path = f"assets/{snack.replace(' ', '_')}.png"  # Check for .png as fallback
             if not os.path.exists(image_path):
+                logging.info(f"PNG fallback not found: {image_path}, using placeholder")
                 image_path = "assets/placeholder.jpeg"  # Final fallback
+                if not os.path.exists(image_path):
+                    logging.error(f"Placeholder not found: {image_path}")
         return text, image_path
     
     predict_btn.click(
@@ -281,7 +288,7 @@ with gr.Blocks(css="""
     
     gr.HTML("""
         <div class='footer'>
-            <p>Built with ❤️ by [Your Twitter Handle] | Powered by <a href='https://x.ai' style='color: #FF4500;'>xAI</a> 🚀</p>
+            <p>Built with ❤️ by @teganmosi  🚀</p>
             <p>Follow my #WeeklyMLProjects for more! 🍟</p>
         </div>
     """)