Upload SBERT_Score.py

SBERT_Score.py

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+from sentence_transformers import SentenceTransformer, util
+
+# ✅ Use raw string for Windows path
+model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2')
+
+print("\n--- SBERT Metaphor–Literal Similarity Checker ---")
+print("Type 'exit' to quit at any time.\n")
+
+while True:
+    sentence1 = input("🔸 Enter a **metaphorical** sentence: ")
+    if sentence1.strip().lower() == 'exit':
+        break
+
+    sentence2 = input("🔹 Enter a **literal paraphrase**: ")
+    if sentence2.strip().lower() == 'exit':
+        break
+
+    # Encode sentences
+    embeddings = model.encode([sentence1, sentence2], convert_to_tensor=True)
+
+    # Compute cosine similarity
+    score = util.pytorch_cos_sim(embeddings[0], embeddings[1]).item()
+
+    print(f"\n🧠 Cosine Similarity Score: {score:.4f} (range: -1 to 1)\n")