Update app.py

app.py

@@ -4,14 +4,14 @@ from sklearn.feature_extraction.text import TfidfVectorizer
 
 feature_extraction=TfidfVectorizer(min_df=1,stop_words='english',lowercase=True)
 def Mail_Prediction(Email):
-  input_Email_conv=feature_extraction.transform([Email])
+  input_Email_conv=feature_extraction.fit_transform([Email])
   result=mp.predict(input_Email_conv)
   if(result[0]==1):
     final_result="HAM"
     return final_result
   elif(result[0]==0):
       final_result="SPAM"
-  return final_result
+      return final_result
 
 
 interface=gr.Interface(fn=Mail_Prediction,inputs=[gr.inputs.Textbox(lines=2,placeholder="Enter your Email",label="Spam Email Checker")],