Update app.py

app.py

@@ -7,7 +7,7 @@ model = SentenceTransformer("sentence-transformers/clip-ViT-L-14")
 
 def predict(im1, im2):
   embeddings = model.encode([im1, im2])
-  sim = cosine_similarity(embeddings[0][None,:], embeddings[0][None,:])[0][0]
+  sim = cosine_similarity(embeddings[0][None,:], embeddings[1][None,:])[0][0]
   # ANSWER HERE
   if sim > 0.78:
     return sim, "SAME PERSON, UNLOCK PHONE"