Update app.py

app.py

@@ -113,8 +113,8 @@ def clasifica_conv_americana(example):
 def similitud(example,example2):
     model = SentenceTransformer("hackathon-pln-es/jurisbert-tsdae-sentence-transformer")
     #Compute embedding for both lists
-    embeddings1 = model.encode(sentences1, convert_to_tensor=True)
-    embeddings2 = model.encode(sentences2, convert_to_tensor=True)
+    embeddings1 = model.encode(example, convert_to_tensor=True)
+    embeddings2 = model.encode(example2, convert_to_tensor=True)
     
     #Compute cosine-similarits
     cosine_scores = util.cos_sim(embeddings1, embeddings2)