app file

app.py

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+import streamlit as st
+from sentence_transformers import SentenceTransformer, util
+
+# Load the pre-trained SentenceTransformer model
+model = SentenceTransformer('paraphrase-distilroberta-base-v2')
+
+def compute_similarity(para1, para2):
+    embedding1 = model.encode(para1, convert_to_tensor=True)
+    embedding2 = model.encode(para2, convert_to_tensor=True)
+    cosine_sim = util.pytorch_cos_sim(embedding1, embedding2)
+    return cosine_sim.item()
+
+st.title("Text Similarity Calculator")
+
+text1 = st.text_area("Enter Text 1")
+text2 = st.text_area("Enter Text 2")
+
+if st.button("Calculate Similarity"):
+    if text1 and text2:
+        similarity_score = compute_similarity(text1, text2)
+        st.success(f"Similarity Score: {similarity_score:.4f}")
+    else:
+        st.warning("Please enter text in both fields.")