Update app.py

app.py

@@ -1,4 +1,11 @@
 import streamlit as st
+from sentence_transformers import SentenceTransformer, util
+
+@st.cache_resource
+def load_model():
+    return SentenceTransformer('sentence-transformers/all-mpnet-base-v2')
+
+model = load_model()
 
 st.title("Text Similarity Checker")
 
@@ -6,4 +13,8 @@ text1 = st.text_input("Enter the first text:")
 text2 = st.text_input("Enter the second text:")
 
 if text1 and text2:
-    st.write("You entered text in both fields.")
+    # Calculate embeddings and similarity
+    embedding1 = model.encode(text1)
+    embedding2 = model.encode(text2)
+    similarity = util.cos_sim(embedding1, embedding2).item() * 100
+    st.write(f"**Similarity Score:** {similarity:.2f}%")