Update app.py

app.py

@@ -44,7 +44,7 @@ def preprocess_html(html):
     return ' '.join(tokens)
 
 # Load trained model
-model = keras.models.load_model('fix_new_phishing_detection_model.keras')
+model = keras.models.load_model('new_phishing_detection_model.keras')
 
 # Define maximum length and number of words
 max_url_length = 180
@@ -74,7 +74,7 @@ def predict_phishing(url, html):
     new_html_padded = pad_sequences(new_html_sequences, maxlen=max_html_length, padding='post', truncating='post')
     
     new_predictions_prob = model.predict([new_url_padded, new_html_padded])
-    new_predictions = (new_predictions_prob > 0.5).astype(int)  # Adjust threshold if needed
+    new_predictions = (new_predictions_prob > 0.6).astype(int)  # Adjust threshold if needed
     
     predicted_category = label_encoder.inverse_transform(new_predictions)[0]
     predicted_probability = f"{new_predictions_prob[0][0]:.4f}"