Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+import pickle
+
+# Load the trained model and vectorizer
+model = pickle.load(open('spam_model.pkl', 'rb'))
+vectorizer = pickle.load(open('vectorizer.pkl', 'rb'))
+
+def predict_sms(message):
+    transformed_text = vectorizer.transform([message])
+    prediction = model.predict(transformed_text)[0]
+    return "Spam" if prediction == 1 else "Not Spam"
+
+# Gradio Web Interface
+iface = gr.Interface(
+    fn=predict_sms,
+    inputs=gr.Textbox(label="Enter SMS Message"),
+    outputs=gr.Label(),
+    title="SMS Spam Classifier",
+    description="Enter a message to check if it's spam or not."
+)
+
+# Launch the app
+iface.launch()