Update README.md

README.md

@@ -59,7 +59,7 @@ context3 = "\"Freeing people from genocide is the reason, motive and goal of the
 # Encode the two contexts into embeddings
 embedding1 = model.encode([context1])
 embedding2 = model.encode([context2])
-embedding3 = model.encode([context2])
+embedding3 = model.encode([context3])
 
 # Calculate similarity
 similarity1 = model.similarity(embedding1, embedding2)
@@ -68,7 +68,7 @@ similarity3 = model.similarity(embedding2, embedding3)
 
 # Print the similarity score
 print(f"Cosine similarities between the contexts: {similarity1}, {similarity2}, {similarity3}")
-# Cosine similarities between the contexts: tensor([[0.4131]]), tensor([[0.4131]]), tensor([[1.0000]])
+# Cosine similarities between the contexts: tensor([[0.4131]]), tensor([[0.3607]]), tensor([[0.8933]])
 ```
 
 ## Citation