Update app.py

app.py

@@ -4,8 +4,8 @@ import sklearn  # Ensure scikit-learn is available
 
 # Load the trained model and vectorizer safely
 try:
-    model = pickle.load(open('model.pkl', 'rb'))  # Ensure model file name is correct
-    vectorizer = pickle.load(open('vectorizer.pkl', 'rb'))  # Ensure vectorizer is uploaded
+    model = pickle.load(open('model.pkl', 'rb'))  # Ensure correct file name
+    vectorizer = pickle.load(open('vectorizer.pkl', 'rb'))
 except Exception as e:
     print(f"Error loading model: {e}")
 
@@ -26,5 +26,5 @@ iface = gr.Interface(
     description="Enter a message to check if it's spam or not."
 )
 
-# Launch the app for Hugging Face Spaces
-iface.launch(server_name="0.0.0.0")
+# Ensure Hugging Face properly serves the app
+iface.launch(server_name="0.0.0.0", server_port=7860, inbrowser=True)