Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -101,6 +101,15 @@ def find_similar_images(query_embedding, collection, top_k=5):
|
|
101 |
|
102 |
# 메타데이터 가져옴
|
103 |
all_data = collection.get(include=['metadatas'])['metadatas']
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
104 |
if len(all_data) == 0:
|
105 |
st.error("No metadatas found in the collection.")
|
106 |
return []
|
|
|
101 |
|
102 |
# 메타데이터 가져옴
|
103 |
all_data = collection.get(include=['metadatas'])['metadatas']
|
104 |
+
st.write(f"Embeddings found: {len(all_data['embeddings'])}")
|
105 |
+
st.write(f"Metadatas found: {len(all_data['metadatas'])}")
|
106 |
+
st.write(f"Documents found: {len(all_data['documents'])}")
|
107 |
+
|
108 |
+
# 벡터 ID를 함께 가져와서 확인
|
109 |
+
vector_data = collection.get(include=['embeddings', 'metadatas', 'ids'])
|
110 |
+
|
111 |
+
for idx, vector_id in enumerate(vector_data['ids']):
|
112 |
+
st.write(f"ID: {vector_id}, Embedding: {vector_data['embeddings'][idx]}")
|
113 |
if len(all_data) == 0:
|
114 |
st.error("No metadatas found in the collection.")
|
115 |
return []
|