Update app.py

app.py

@@ -2,19 +2,43 @@ import streamlit as st
 from transformers import pipeline
 
 def main():
-    sentiment_pipeline = pipeline(model="distilbert/distilbert-base-uncased-finetuned-sst-2-english")
+    # Load the models
+    spam_pipeline = pipeline("text-classification", model="cybersectony/phishing-email-detection-distilbert_v2.4.1")
+    sentiment_pipeline = pipeline("text-classification", model="ISOM5240GP4/email_sentiment")
 
-    st.title("Sentiment Analysis with HuggingFace Spaces")
-    st.write("Enter a sentence to analyze its sentiment:")
+    # 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.")
 
-    user_input = st.text_input("")
-    if user_input:
-        result = sentiment_pipeline(user_input)
-        sentiment = result[0]["label"]
-        confidence = result[0]["score"]
+    # Text area for email input
+    email_body = st.text_area("Email Body", height=200)
 
-        st.write(f"Sentiment: {sentiment}")
-        st.write(f"Confidence: {confidence:.2f}")
+    # 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"]
+
+            # If it's spam, display result and stop
+            if spam_label == "POSITIVE":  # Assuming "POSITIVE" means spam/phishing (check model docs)
+                st.write(f"This is a spam email (Confidence: {spam_confidence:.2f}). No follow-up needed.")
+            else:
+                # Step 2: If not spam, analyze sentiment
+                sentiment_result = sentiment_pipeline(email_body)
+                sentiment_label = sentiment_result[0]["label"]
+                sentiment_confidence = sentiment_result[0]["score"]
+
+                if sentiment_label == "POSITIVE":
+                    st.write(f"This email is not spam (Confidence: {spam_confidence:.2f}).")
+                    st.write(f"Sentiment: Positive (Confidence: {sentiment_confidence:.2f}). No follow-up needed.")
+                else:  # Assuming "NEGATIVE" for negative sentiment
+                    st.write(f"This email is not spam (Confidence: {spam_confidence:.2f}).")
+                    st.write(f"Sentiment: Negative (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()