Update app.py

app.py

@@ -44,7 +44,7 @@ def preprocess_html(html):
     return ' '.join(tokens)
 
 # Load trained model
-model = keras.models.load_model('new_phishing_detection_model.keras')
+model = keras.models.load_model('/content/drive/MyDrive/fix_phishing_detection_model.keras')
 
 # Define maximum length and number of words
 max_url_length = 180
@@ -81,12 +81,12 @@ def predict_phishing(url, html):
 interface = gr.Interface(
     fn=predict_phishing,
     inputs=[
-        gr.inputs.Textbox(label="URL"),
-        gr.inputs.Textbox(label="HTML Snippet")
+        gr.components.Textbox(label="URL"),
+        gr.components.Textbox(label="HTML Snippet")
     ],
     outputs=[
-        gr.outputs.Textbox(label="Predicted Category"),
-        gr.outputs.Textbox(label="Predicted Probability")
+        gr.components.Textbox(label="Predicted Category"),
+        gr.components.Textbox(label="Predicted Probability")
     ],
     title="Phishing Detection Model",
     description="Enter a URL and its HTML content to predict if it's spam or legitimate."