Update app.py

app.py

@@ -62,17 +62,6 @@ def draw_boxes(image, results, queries):
 
 # Prediction Function
 def detect_objects(image, text_query, threshold):
-    """
-    Detect objects in image based on text query.
-    
-    Args:
-        image: PIL Image or numpy array
-        text_query: Comma-separated text queries (e.g., "dog, cat, person")
-        threshold: Detection confidence threshold
-    
-    Returns:
-        Annotated image with bounding boxes
-    """
     global model, processor
     
     if image is None:
@@ -127,7 +116,6 @@ def detect_objects(image, text_query, threshold):
 with gr.Blocks(title="Query based object detection") as demo:
     gr.Markdown(
         """
-        # 🦉 OwlViT Object Detection
         
         Upload an image and describe what you want to detect. You can specify multiple objects separated by commas.