verify

app.py

@@ -23,10 +23,25 @@ def extract_features_in_parallel(urls):
 # Load the CatBoost model for inference
 def predict_with_catboost(features_df, model_path):
     try:
+        print(f"Attempting to load model from: {model_path}")
+        print(f"File exists: {os.path.exists(model_path)}")
+        print(f"File size: {os.path.getsize(model_path)}")
+        
         model = CatBoostClassifier()
-        # Try loading without format specification first
-        print(model_path)
-        model.load_model(model_path)
+        # Try different loading approaches
+        try:
+            print("Attempting to load model without format...")
+            model.load_model(model_path)
+        except Exception as e1:
+            print(f"First attempt failed: {str(e1)}")
+            try:
+                print("Attempting to load model with format='binnar'...")
+                model.load_model(model_path, format='binnar')
+            except Exception as e2:
+                print(f"Second attempt failed: {str(e2)}")
+                print("Attempting final load with format='binary'...")
+                model.load_model(model_path, format='binary')
+        
         predictions = model.predict(features_df)
         return predictions
     except Exception as e:

verify_model.py

@@ -1,7 +1,27 @@
 from catboost import CatBoostClassifier
 import os
 
-model_path = os.path.join(os.getcwd(), "catboost_model.bin")
-model = CatBoostClassifier()
-model.load_model(model_path, format='cbm')
-print("Model loaded successfully")
+def verify_model():
+    model_path = os.path.join(os.getcwd(), "catboost_model.bin")
+    print(f"Model path: {model_path}")
+    print(f"Current working directory: {os.getcwd()}")
+    print(f"File exists: {os.path.exists(model_path)}")
+    if os.path.exists(model_path):
+        print(f"File size: {os.path.getsize(model_path)}")
+        
+        model = CatBoostClassifier()
+        formats = [None, 'binary', 'binnar', 'json']
+        
+        for fmt in formats:
+            try:
+                if fmt is None:
+                    model.load_model(model_path)
+                else:
+                    model.load_model(model_path, format=fmt)
+                print(f"Successfully loaded model with format: {fmt}")
+                return
+            except Exception as e:
+                print(f"Failed to load with format {fmt}: {str(e)}")
+
+if __name__ == "__main__":
+    verify_model()