diff --git a/edenai_apis/apis/winstonai/winstonai_api.py b/edenai_apis/apis/winstonai/winstonai_api.py
index d76fb2b2..20cd33fe 100644
--- a/edenai_apis/apis/winstonai/winstonai_api.py
+++ b/edenai_apis/apis/winstonai/winstonai_api.py
@@ -1,10 +1,13 @@
 import json
+from http import HTTPStatus
 from typing import Dict, Sequence, Any, Optional
 from uuid import uuid4
 import requests
 from edenai_apis.apis.winstonai.config import WINSTON_AI_API_URL
 from edenai_apis.features import ProviderInterface, TextInterface, ImageInterface
-from edenai_apis.features.image.ai_detection.ai_detection_dataclass import AiDetectionDataClass as ImageAiDetectionDataclass
+from edenai_apis.features.image.ai_detection.ai_detection_dataclass import (
+    AiDetectionDataClass as ImageAiDetectionDataclass,
+)
 from edenai_apis.features.text.ai_detection.ai_detection_dataclass import (
     AiDetectionDataClass,
     AiDetectionItem,
@@ -36,16 +39,19 @@ def __init__(self, api_keys: Optional[Dict[str, Any]] = None):
             "Authorization": f'Bearer {self.api_settings["api_key"]}',
         }
 
-    def image__ai_detection(self, file: Optional[str] = None,  file_url: Optional[str] = None) -> ResponseType[ImageAiDetectionDataclass]:
+    def image__ai_detection(
+        self, file: Optional[str] = None, file_url: Optional[str] = None
+    ) -> ResponseType[ImageAiDetectionDataclass]:
         if not file_url and not file:
             raise ProviderException("file or file_url required")
 
-        payload = json.dumps({
-            "url": file_url or upload_file_to_s3(file, file)
-        })
+        payload = json.dumps({"url": file_url or upload_file_to_s3(file, file)})
 
         response = requests.request(
-            "POST", f"{self.api_url}/image-detection", headers=self.headers, data=payload
+            "POST",
+            f"{self.api_url}/image-detection",
+            headers=self.headers,
+            data=payload,
         )
 
         if response.status_code != 200:
@@ -58,7 +64,6 @@ def image__ai_detection(self, file: Optional[str] = None,  file_url: Optional[st
         if score is None:
             raise ProviderException(response.json())
 
-
         standardized_response = ImageAiDetectionDataclass(
             ai_score=score,
             prediction=prediction,
@@ -87,6 +92,9 @@ def text__ai_detection(
             "POST", f"{self.api_url}/predict", headers=self.headers, data=payload
         )
 
+        if response.status_code >= HTTPStatus.INTERNAL_SERVER_ERROR:
+            raise ProviderException("Internal Server Error")
+
         if response.status_code != 200:
             raise ProviderException(response.json(), code=response.status_code)
 
@@ -100,7 +108,7 @@ def text__ai_detection(
         items: Sequence[AiDetectionItem] = [
             AiDetectionItem(
                 text=sentence["text"],
-                ai_score=1-(sentence["score"] / 100),
+                ai_score=1 - (sentence["score"] / 100),
                 prediction=AiDetectionItem.set_label_based_on_score(
                     1 - (sentence["score"] / 100)
                 ),
@@ -108,8 +116,7 @@ def text__ai_detection(
             for sentence in sentences
         ]
 
-        standardized_response = AiDetectionDataClass(
-            ai_score=1-score, items=items)
+        standardized_response = AiDetectionDataClass(ai_score=1 - score, items=items)
 
         return ResponseType[AiDetectionDataClass](
             original_response=original_response,