From d2e5df1e4d0d1ed08d43b3b1d897698a626fa291 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Wed, 13 Nov 2024 07:28:09 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 comps/cores/proto/docarray.py                            | 2 +-
 comps/embeddings/multimodal_clip/embedding_multimodal.py | 5 +++++
 2 files changed, 6 insertions(+), 1 deletion(-)

diff --git a/comps/cores/proto/docarray.py b/comps/cores/proto/docarray.py
index 50871f7bf..79f961ca2 100644
--- a/comps/cores/proto/docarray.py
+++ b/comps/cores/proto/docarray.py
@@ -101,7 +101,7 @@ class EmbedDoc(BaseDoc):
     fetch_k: int = 20
     lambda_mult: float = 0.5
     score_threshold: float = 0.2
-    constraints: Optional[Union[Dict[str, Any], List[Dict[str, Any]],None]] = None
+    constraints: Optional[Union[Dict[str, Any], List[Dict[str, Any]], None]] = None
 
 
 class EmbedMultimodalDoc(EmbedDoc):
diff --git a/comps/embeddings/multimodal_clip/embedding_multimodal.py b/comps/embeddings/multimodal_clip/embedding_multimodal.py
index a9fa88e5c..c791f1471 100644
--- a/comps/embeddings/multimodal_clip/embedding_multimodal.py
+++ b/comps/embeddings/multimodal_clip/embedding_multimodal.py
@@ -4,6 +4,7 @@
 import datetime
 import time
 from typing import List, Optional, Union
+
 from dateparser.search import search_dates
 from embeddings_clip import vCLIP
 
@@ -23,9 +24,11 @@
     EmbeddingResponse,
     EmbeddingResponseData,
 )
+
 logger = CustomLogger("embedding_multimodal")
 logflag = os.getenv("LOGFLAG", False)
 
+
 def filtler_dates(prompt):
 
     base_date = datetime.datetime.today()
@@ -108,11 +111,13 @@ async def embedding(
         logger.info(res)
     return res
 
+
 async def get_embeddings(text: Union[str, List[str]]) -> List[List[float]]:
     texts = [text] if isinstance(text, str) else text
     embed_vector = embeddings.embed_query(texts).tolist()
     return embed_vector
 
+
 if __name__ == "__main__":
     embeddings = vCLIP({"model_name": "openai/clip-vit-base-patch32", "num_frm": 4})
     opea_microservices["opea_service@embedding_multimodal"].start()