Update app.py

app.py

@@ -2,6 +2,9 @@ import pickle
 import gradio as gr
 from sklearn.feature_extraction.text import TfidfVectorizer
 
+with open("Mail_Pickle","rb") as f:
+  mp=pickle.load(f)
+
 feature_extraction=TfidfVectorizer(min_df=1,stop_words='english',lowercase=True)
 def Mail_Prediction(Email):
   input_Email_conv=feature_extraction.fit_transform([Email])
@@ -10,8 +13,8 @@ def Mail_Prediction(Email):
     final_result="HAM"
     return final_result
   elif(result[0]==0):
-      final_result="SPAM"
-      return final_result
+    final_result="SPAM"
+    return final_result
 
 
 interface=gr.Interface(fn=Mail_Prediction,inputs=[gr.inputs.Textbox(lines=2,placeholder="Enter your Email",label="Spam Email Checker")],