Update app.py

app.py

@@ -1,20 +1,20 @@
 import gradio as gr
 from sentence_transformers import SentenceTransformer, util
 
-# Load sentence embedding model
-model = SentenceTransformer("all-MiniLM-L6-v2")
+# Use a more powerful model for paraphrasing and semantic similarity
+model = SentenceTransformer("sentence-transformers/all-mpnet-base-v2")
 
 def compare_sentences(sentence_a, sentence_b):
     emb = model.encode([sentence_a, sentence_b], convert_to_tensor=True)
     score = util.pytorch_cos_sim(emb[0], emb[1]).item()
-    return f"{score * 100:.2f}%"  # Convert to percentage
+    return f"{score * 100:.2f}%"  # Similarity score as percentage
 
 iface = gr.Interface(
     fn=compare_sentences,
     inputs=["text", "text"],
     outputs="text",
-    title="Sentence Similarity Checker",
-    description="Enter two sentences to compare their similarity (0–100%) using BERT embeddings."
+    title="Sentence Similarity Checker (MPNet Model)",
+    description="Enter two sentences to compare their meaning using a powerful transformer model. Score is shown as a percent."
 )
 
 iface.launch()