fix lint

examples/multimodal_chatbot_online.py

@@ -2,12 +2,13 @@
 
 # Before running, set the environment variable:
 #
-# 1. `export LAZYLLM_GLM_API_KEY=xxxx`: the API key of Zhipu AI, you need to set `source="glm"` and `model="glm-4v-flash"`.
-#     You can apply for the API key at https://open.bigmodel.cn/
+# 1. `export LAZYLLM_GLM_API_KEY=xxxx`: the API key of Zhipu AI, you need to set `source="glm"` and 
+#     `model="glm-4v-flash"`. You can apply for the API key at https://open.bigmodel.cn/
 #     Also supports other API keys:
 #       - LAZYLLM_OPENAI_API_KEY: the API key of OpenAI, set `source="openai"` and `model="gpt-4o-mini"`.
 #           You can apply for the API key at https://openai.com/index/openai-api/
-#       - LAZYLLM_KIMI_API_KEY: the API key of Moonshot AI, set `source="kimi"` and `model="moonshot-v1-8k-vision-preview"`.
+#       - LAZYLLM_KIMI_API_KEY: the API key of Moonshot AI, set `source="kimi"` and 
+#           `model="moonshot-v1-8k-vision-preview"`.
 #           You can apply for the API key at https://platform.moonshot.cn/console
 #       - LAZYLLM_QWEN_API_KEY: the API key of Alibaba Cloud, set `source="qwen"` and `model="qwenvl-max"`.
 #           You can apply for the API key at https://home.console.aliyun.com/
@@ -19,4 +20,4 @@
 chat = lazyllm.OnlineChatModule(source="glm", model="glm-4v-flash")
 
 if __name__ == '__main__':
-    lazyllm.WebModule(chat, port=range(23466, 23470), files_target=chat).start().wait()
+    lazyllm.WebModule(chat, port=range(23466, 23470), files_target=chat).start().wait()

lazyllm/components/utils/file_operate.py

@@ -42,7 +42,7 @@ def delete_old_files(directory):
                     LOG.info(f"Deleted: {dir_path}")
             except Exception as e:
                 LOG.error(f"Error deleting directory {dir_path}: {e}")
-        
+
 def image_to_base64(directory):
     try:
         with open(directory, 'rb') as f:

lazyllm/module/onlineChatModule/onlineChatModuleBase.py

@@ -273,7 +273,7 @@ def forward(self, __input: Union[Dict, str] = None, *, llm_chat_history: List[Li
 
         if len(self._model_optional_params) > 0:
             data.update(self._model_optional_params)
-            
+
         if isinstance(__input, str) and __input.startswith(LAZYLLM_QUERY_PREFIX):
             for idx, message in enumerate(data["messages"]):
                 content = message["content"]
@@ -434,13 +434,13 @@ def _start_for_deployment():
                     raise ValueError(f"Deployment task {deployment_id} failed")
             lazyllm.LOG.info(f"deployment {deployment_id} finished")
         return Pipeline(_start_for_deployment)
-    
+
     def _format_vl_chat_query(self, query: str):
         return [{"type": "text", "text": query}]
-    
+
     def _format_vl_chat_image_url(self, image_url: str, mime: str) -> List[Dict[str, str]]:
         return [{"type": "image_url", "image_url": {"url": image_url}}]
-        
+
     # for online vlm
     def _format_input_with_files(self, query_files: str) -> List[Dict[str, str]]:
         if isinstance(query_files, str):

lazyllm/module/onlineChatModule/qwenModule.py

@@ -295,8 +295,8 @@ def _query_deployment(self, deployment_id) -> str:
 
             status = r.json()["output"]['status']
             return status
-    
+
     def _format_vl_chat_image_url(self, image_url, mime):
         assert mime is not None, "Qwen Module requires mime info."
-        image_url = f"data:{mime};base64,{image_url}"    
+        image_url = f"data:{mime};base64,{image_url}"
         return [{"type": "image_url", "image_url": {"url": image_url}}]

lazyllm/module/onlineChatModule/sensenovaModule.py

@@ -242,7 +242,7 @@ def _query_deployment(self, deployment_id) -> str:
 
             status = r.json()["job"]['status']
             return status
-        
+
     def _format_vl_chat_image_url(self, image_url, mime):
         if image_url.startswith("http"):
             return [{"type": "image_url", "image_url": image_url}]

lazyllm/tools/rag/doc_node.py

@@ -246,7 +246,7 @@ def do_embedding(self, embed: Dict[str, Callable]) -> None:
             self.embedding = {**self.embedding, **generate_embed}
 
     def get_content(self, metadata_mode=MetadataMode.LLM) -> str:
-        if metadata_mode==MetadataMode.LLM:
+        if metadata_mode == MetadataMode.LLM:
             return Image.open(self._image_path)
         elif metadata_mode == MetadataMode.EMBED:
             image_base64, mime = image_to_base64(self._image_path)

tests/advanced_tests/standard_test/test_deploy.py

@@ -106,11 +106,11 @@ def test_cross_modal_embedding(self):
         image_path = os.path.join(lazyllm.config['data_path'], "ci_data/ji.jpg")
         image_base64, mime = image_to_base64(image_path)
         image_base64 = f'data:{mime};base64,{image_base64}'
-        res = m(image_url, modality = 'image')
+        res = m(image_url, modality='image')
         assert len(json.loads(res)) == 1152
         res = m([image_url], modality='image')
         assert len(json.loads(res)) == 1
-        res = m([image_url, image_base64], modality = 'image')
+        res = m([image_url, image_base64], modality='image')
         assert len(json.loads(res)) == 2
 
     def test_sd3(self):