adding yoloxl

app.py

@@ -59,14 +59,14 @@ def visualize_prediction(pil_img, output_dict, threshold=0.7, id2label=None):
 
 def detect_objects(model_name,url_input,image_input,threshold):
     if 'detr' in model_name:
-        model = DetrForObjectDetection.from_pretrained(model_name
-		feature_extractor = AutoFeatureExtractor.from_pretrained(model_name)
+        model = DetrForObjectDetection.from_pretrained(model_name)
+        feature_extractor = AutoFeatureExtractor.from_pretrained(model_name)
     elif 'yolos' in model_name:
         model = YolosForObjectDetection.from_pretrained(model_name)
-		feature_extractor = AutoFeatureExtractor.from_pretrained(model_name)
+        feature_extractor = AutoFeatureExtractor.from_pretrained(model_name)
     elif 'yolox' in model_name:
         model = YOLOXL(pretrained="coco")
-		feature_extractor = model.preprocess_input
+        feature_extractor = model.preprocess_input
     
     if validators.url(url_input):
         image = Image.open(requests.get(url_input, stream=True).raw)