Update app.py

app.py

@@ -7,9 +7,9 @@ model_Q = SentenceTransformer('flax-sentence-embeddings/multi-QA_v1-mpnet-asymme
 def getVectors(sentences):
             vectors = []
             splitSentences = sentences.split('ZZZ')
-            for sentence in sentences:
+            for sentence in splitSentences:
                        vectors.append(model_Q.encode(sentence))
-            return len(vectors)
+            return vectors
             
 interface = gr.Interface(fn = getVectors,
 inputs = "text",