Update app.py

app.py

@@ -1,11 +1,4 @@
 import streamlit as st
-from sentence_transformers import SentenceTransformer, util
-
-@st.cache_resource  # Cache the model for faster loading
-def load_model():
-    return SentenceTransformer('sentence-transformers/all-mpnet-base-v2')
-
-model = load_model()
 
 st.title("Text Similarity Checker")
 
@@ -13,8 +6,4 @@ text1 = st.text_input("Enter the first text:")
 text2 = st.text_input("Enter the second text:")
 
 if text1 and text2:
-    # 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}%")
+    st.write("You entered text in both fields.")