Corrected type annotation to "Any" from "any" all files in "model_providers" folder (#9135)

api/core/model_runtime/model_providers/__base/tts_model.py

 import logging
 import re
 from abc import abstractmethod
-from typing import Optional
+from typing import Any, Optional
 
 from pydantic import ConfigDict
 
             else:
                 return [{"name": d["name"], "value": d["mode"]} for d in voices]
 
-    def _get_model_default_voice(self, model: str, credentials: dict) -> any:
+    def _get_model_default_voice(self, model: str, credentials: dict) -> Any:
         """
         Get voice for given tts model
 

api/core/model_runtime/model_providers/azure_openai/tts/tts.py

 import concurrent.futures
 import copy
-from typing import Optional
+from typing import Any, Optional
 
 from openai import AzureOpenAI
 
 
     def _invoke(
         self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None
-    ) -> any:
+    ) -> Any:
         """
         _invoke text2speech model
 
         except Exception as ex:
             raise CredentialsValidateFailedError(str(ex))
 
-    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> any:
+    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any:
         """
         _tts_invoke_streaming text2speech model
         :param model: model name

api/core/model_runtime/model_providers/fishaudio/tts/tts.py

-from typing import Optional
+from typing import Any, Optional
 
 import httpx
 
         content_text: str,
         voice: str,
         user: Optional[str] = None,
-    ) -> any:
+    ) -> Any:
         """
         Invoke text2speech model
 
         except Exception as ex:
             raise CredentialsValidateFailedError(str(ex))
 
-    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> any:
+    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any:
         """
         Invoke streaming text2speech model
         :param model: model name
         except Exception as ex:
             raise InvokeBadRequestError(str(ex))
 
-    def _tts_invoke_streaming_sentence(self, credentials: dict, content_text: str, voice: Optional[str] = None) -> any:
+    def _tts_invoke_streaming_sentence(self, credentials: dict, content_text: str, voice: Optional[str] = None) -> Any:
         """
         Invoke streaming text2speech model
 

api/core/model_runtime/model_providers/openai/tts/tts.py

 import concurrent.futures
-from typing import Optional
+from typing import Any, Optional
 
 from openai import OpenAI
 
 
     def _invoke(
         self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None
-    ) -> any:
+    ) -> Any:
         """
         _invoke text2speech model
 
         except Exception as ex:
             raise CredentialsValidateFailedError(str(ex))
 
-    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> any:
+    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any:
         """
         _tts_invoke_streaming text2speech model
 

api/core/model_runtime/model_providers/sagemaker/tts/tts.py

             InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError],
         }
 
-    def _get_model_default_voice(self, model: str, credentials: dict) -> any:
+    def _get_model_default_voice(self, model: str, credentials: dict) -> Any:
         return ""
 
     def _get_model_word_limit(self, model: str, credentials: dict) -> int:
         json_obj = json.loads(json_str)
         return json_obj
 
-    def _tts_invoke_streaming(self, model_type: str, payload: dict, sagemaker_endpoint: str) -> any:
+    def _tts_invoke_streaming(self, model_type: str, payload: dict, sagemaker_endpoint: str) -> Any:
         """
         _tts_invoke_streaming text2speech model
 

api/core/model_runtime/model_providers/tongyi/tts/tts.py

 import threading
 from queue import Queue
-from typing import Optional
+from typing import Any, Optional
 
 import dashscope
 from dashscope import SpeechSynthesizer
 
     def _invoke(
         self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None
-    ) -> any:
+    ) -> Any:
         """
         _invoke text2speech model
 
         except Exception as ex:
             raise CredentialsValidateFailedError(str(ex))
 
-    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> any:
+    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any:
         """
         _tts_invoke_streaming text2speech model
 

api/core/model_runtime/model_providers/xinference/tts/tts.py

 import concurrent.futures
-from typing import Optional
+from typing import Any, Optional
 
 from xinference_client.client.restful.restful_client import RESTfulAudioModelHandle
 
 
         return self.model_voices["__default"]["all"]
 
-    def _get_model_default_voice(self, model: str, credentials: dict) -> any:
+    def _get_model_default_voice(self, model: str, credentials: dict) -> Any:
         return ""
 
     def _get_model_word_limit(self, model: str, credentials: dict) -> int:
     def _get_model_workers_limit(self, model: str, credentials: dict) -> int:
         return 5
 
-    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> any:
+    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any:
         """
         _tts_invoke_streaming text2speech model