fix: xinference rerank error

--bug=1054256 --user=王孝刚 【模型】添加硅基流动的重排序模型失败 https://www.tapd.cn/57709429/s/1679612

Author: wxg0103

apps/setting/models_provider/impl/xinference_model_provider/model/reranker.py

@@ -16,7 +16,6 @@
 
 
 class XInferenceReranker(MaxKBBaseModel, BaseDocumentCompressor):
-    client: Any
     server_url: Optional[str]
     """URL of the xinference server"""
     model_uid: Optional[str]
@@ -30,10 +29,13 @@ def new_instance(model_type, model_name, model_credential: Dict[str, object], **
 
     top_n: Optional[int] = 3
 
-    def __init__(
-            self, server_url: Optional[str] = None, model_uid: Optional[str] = None, top_n=3,
-            api_key: Optional[str] = None
-    ):
+    def compress_documents(self, documents: Sequence[Document], query: str, callbacks: Optional[Callbacks] = None) -> \
+            Sequence[Document]:
+        if documents is None or len(documents) == 0:
+            return []
+        client: Any
+        if documents is None or len(documents) == 0:
+            return []
         try:
             from xinference.client import RESTfulClient
         except ImportError:
@@ -45,29 +47,8 @@ def __init__(
                     " with `pip install xinference` or `pip install xinference_client`."
                 ) from e
 
-        super().__init__()
-
-        if server_url is None:
-            raise ValueError("Please provide server URL")
-
-        if model_uid is None:
-            raise ValueError("Please provide the model UID")
-
-        self.server_url = server_url
-
-        self.model_uid = model_uid
-
-        self.api_key = api_key
-
-        self.client = RESTfulClient(server_url, api_key)
-
-        self.top_n = top_n
-
-    def compress_documents(self, documents: Sequence[Document], query: str, callbacks: Optional[Callbacks] = None) -> \
-            Sequence[Document]:
-        if documents is None or len(documents) == 0:
-            return []
-        model: RESTfulRerankModelHandle = self.client.get_model(self.model_uid)
+        client = RESTfulClient(self.server_url, self.api_key)
+        model: RESTfulRerankModelHandle = client.get_model(self.model_uid)
         res = model.rerank([document.page_content for document in documents], query, self.top_n, return_documents=True)
         return [Document(page_content=d.get('document', {}).get('text'),
                          metadata={'relevance_score': d.get('relevance_score')}) for d in res.get('results', [])]