Create app.py

app.py

@@ -0,0 +1,12 @@
+import gradio as gr
+import joblib
+load_model,load_vectorizer = joblib.load('spam_detection.pkl')
+def classify(text):
+    temp = [text]
+    temp_data_F = load_vectorizer.transform(temp)
+    t = load_model.predict(temp_data_F)[0]
+    if(t == 0):
+        return("Not A SPAM")
+    else:
+        return("SPAM")
+gr.Interface(fn=classify,inputs='text',outputs="text",title = "SPAM EMAIL DETECTOR").launch()