Update app.py

app.py

@@ -10,7 +10,7 @@ from sentence_transformers import SentenceTransformer
 encoder = SentenceTransformer("sentence-transformers/LaBSE")
 #encoder = SentenceTransformer("sentence-transformers/clip-ViT-B-32-multilingual-v1")
 
-def retrieve_search_df(question = "这座教堂建在山上", top_k = 10):
+def retrieve_search_df(question = "今天天气怎么样？", top_k = 10):
     question_embedding = encoder.encode(question)
     scores, retrieved_examples = ds_with_embeddings.get_nearest_examples('L_emb', question_embedding, k=top_k)
     sdf = pd.DataFrame(retrieved_examples)
@@ -18,7 +18,7 @@ def retrieve_search_df(question = "这座教堂建在山上", top_k = 10):
     return sdf[["sent", "dialogue", "scores"]]
 
 example_sample = [
-    ["这座教堂建在山上", 3],
+    ["今天天气怎么样？", 3],
     #["第一次世界大战结束了", 5],
 ]