Update app.py

app.py

@@ -2,12 +2,11 @@ import torch
 import numpy as np
 import gradio as gr
 from PIL import Image
-import time
 
 # Device configuration
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 
-# Load optimized YOLOv5s model
+# Load YOLOv5s model
 model = torch.hub.load('ultralytics/yolov5', 'yolov5s', pretrained=True).to(device)
 
 # Performance optimizations
@@ -60,9 +59,9 @@ with gr.Blocks(title="Real-Time Object Detection") as app:
         gr.Checkbox(label="Enable FP16 Acceleration", value=True)
 
 # Configure queue and launch
-app.queue(concurrency_count=4, max_size=20).launch(
+app.queue().launch(  
     server_name="0.0.0.0",
     server_port=7860,
     share=False,
     enable_queue=True
-)
+)