Upload app.py

app.py

@@ -1,21 +1,5 @@
 import gradio as gr
 import string
-# Load trained model and vectorizer
-model = joblib.load("svm_model.pkl")
-tfidf_vectorizer = joblib.load("tfidf_vectorizer.pkl")
-
-# Simple text cleaning
-def clean_text(text):
-    text = ''.join([char for char in text if char not in string.punctuation])
-    return text.lower()
-
-# Prediction function
-def classify_email(email_text):
-    clean_email = clean_text(email_text)
-    email_vector = tfidf_vectorizer.transform([clean_email])
-    prediction = model.predict(email_vector)[0]
-    return "Spam Mail 🚨" if prediction == 1 else "Ham Mail ✅"
-
 # Gradio interface
 iface = gr.Interface(
     fn=classify_email,