update

app.py

@@ -49,13 +49,13 @@ inputs = [
         default="alshimaa/model_baseline",
         label="Model",
     ),
-    gr.Slider(minimum=320, maximum=1280, default=640, step=32, label="Image Size"),
-    gr.Slider(minimum=0.0, maximum=1.0, default=0.25, step=0.05, label="Confidence Threshold"),
-    gr.Slider(minimum=0.0, maximum=1.0, default=0.45, step=0.05, label="IOU Threshold"),
+    gr.inputs.Slider(minimum=320, maximum=1280, default=640, step=32, label="Image Size"),
+    gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.25, step=0.05, label="Confidence Threshold"),
+    gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.45, step=0.05, label="IOU Threshold")
 ]
 
 outputs = gr.outputs.Image(type="filepath", label="Output Image")
-title = "Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors"
+title = "Smart Environmental Eye (SEE)"
 
 #examples = [['image.jpg.', 'SEE/best_baseline', 640, 0.25, 0.45], ['image.jpg', 'SEE/best_baseline', 640, 0.25, 0.45]]
 demo_app = gr.Interface(