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import streamlit as st
from transformers import pipeline, AutoModelForSequenceClassification, AutoTokenizer
import torch
import numpy as np
def main():
# Load the spam detection pipeline
spam_pipeline = pipeline("text-classification", model="cybersectony/phishing-email-detection-distilbert_v2.4.1")
# Load the sentiment model and tokenizer directly
sentiment_model = AutoModelForSequenceClassification.from_pretrained("ISOM5240GP4/email_sentiment", num_labels=2)
tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased")
# Title and description
st.title("Email Analysis Tool")
st.write("Enter an email body below to check if it's spam and analyze its sentiment.")
# Text area for email input
email_body = st.text_area("Email Body", height=200)
# Button to trigger analysis
if st.button("Analyze Email"):
if email_body:
# Step 1: Check if the email is spam
spam_result = spam_pipeline(email_body)
spam_label = spam_result[0]["label"]
spam_confidence = spam_result[0]["score"]
# Assuming "POSITIVE" means spam/phishing (adjust if incorrect)
if spam_label == "POSITIVE":
st.write(f"This is a spam email (Confidence: {spam_confidence:.2f}). No follow-up needed.")
else:
# Step 2: Analyze sentiment for non-spam emails
inputs = tokenizer(email_body, padding=True, truncation=True, return_tensors='pt')
outputs = sentiment_model(**inputs)
predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)
predictions = predictions.cpu().detach().numpy()
sentiment_index = np.argmax(predictions)
sentiment_confidence = predictions[0][sentiment_index]
# Map index to sentiment (1 = positive, 0 = negative)
sentiment = "Positive" if sentiment_index == 1 else "Negative"
if sentiment == "Positive":
st.write(f"This email is not spam (Confidence: {spam_confidence:.2f}).")
st.write(f"Sentiment: {sentiment} (Confidence: {sentiment_confidence:.2f}). No follow-up needed.")
else: # Negative sentiment
st.write(f"This email is not spam (Confidence: {spam_confidence:.2f}).")
st.write(f"Sentiment: {sentiment} (Confidence: {sentiment_confidence:.2f}).")
st.write("**This email needs follow-up as it is not spam and has negative sentiment.**")
else:
st.write("Please enter an email body to analyze.")
if __name__ == "__main__":
main() |