Update app.py

app.py

@@ -31,7 +31,7 @@ df['embeddings'] = df['text'].apply(lambda x: embedding_model.encode(x))
 # add_embeddings as a new column
 
 print("check1a")
-print(df.iloc[[1]])
+#print(df.iloc[[1]])
 dataset = Dataset.from_pandas(df)
 print("check1b")
 
@@ -43,7 +43,7 @@ embedding_dim = embedding_model.get_sentence_embedding_dimension()
 # Returns dimensions of embedidng
 data = dataset
 
-#print(data)
+print(embedding_dim)
 d = 384  # vectors dimension
 m = 32  # hnsw parameter. Higher is more accurate but takes more time to index (default is 32, 128 should be ok)
 #index = faiss.IndexHNSWFlat(d, m)