File size: 2,240 Bytes
7cd37bc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | import streamlit as st
import pickle
# EX :- win big now | win free urgent offer limited limited urgent urgent free beyond baby physical environmental none meeting foreign low | unknownmail.cc
# EX :- project update | team sync president series today already involve lose control brother issue week blood firm personal let next | company.com
# Page configuration
st.set_page_config(page_title="Email Spam Detector", page_icon="📧")
# Custom CSS for styling
st.markdown("""
<style>
.main {
background-color: #f0f2f6;
}
.stButton>button {
width: 100%;
border-radius: 5px;
height: 3em;
background-color: #ff4b4b;
color: white;
}
</style>
""", unsafe_allow_html=True)
# Loading the model and vectorizer
try:
model = pickle.load(open('spam_model.pkl', 'rb'))
vectorizer = pickle.load(open('vectorizer.pkl', 'rb'))
except FileNotFoundError:
st.error("Error: 'spam_model.pkl' ya 'vectorizer.pkl' file nahi mili. Pehle model train karke save karein.")
# UI Header
st.title("📧 Email Spam Classifier")
st.write("Apna email subject aur text niche enter karein check karne ke liye.")
# Input Section
with st.container():
domain = st.text_input("Email Domain", placeholder="Write your email domain...")
subject = st.text_input("Subject", placeholder="E.g. Congratulations! You won a prize")
message = st.text_area("Email Content", placeholder="Write your email body here...", height=150)
# Prediction Logic
if st.button("Predict Now"):
if message.strip() == "":
st.warning("Please enter the email text to analyze.")
else:
# Combine subject and message (Common practice in spam detection)
full_text = subject + " " + message + " " + domain
# 1. Preprocess/Transform using vectorizer
data = vectorizer.transform([full_text])
# 2. Prediction
prediction = model.predict(data)[0]
# 3. Display Result
st.divider()
if prediction == 1: # Assuming 1 is Spam
st.error("🚨 This is a SPAM email!")
else:
st.success("✅ This is a HAM (Safe) email.")
# Footer
st.caption("Built with Python & Streamlit") |