Upload app.py

app.py

@@ -171,8 +171,8 @@ detection_model = load_model()
 # predicted_img.save('predicted.jpg')
 
 gr.Interface(fn=predict,
-             inputs=[gr.Image(type="pil",label="Input Image"),gr.Video(label="Input Video"),gr.Textbox(placeholder="0.50",label="Set the confidence threshold (0.00-1.00)")],
-             outputs=[gr.Image(type="pil",label="Output Image"),gr.Video(label="Output Video")], 
+             inputs=[gr.Image(type="pil",label="Input Image",height=500,width=500),gr.Video(label="Input Video",height=500,width=500),gr.Textbox(placeholder="0.50",label="Set the confidence threshold (0.00-1.00)")],
+             outputs=[gr.Image(type="pil",label="Output Image",height=500,width=500),gr.Video(label="Output Video",height=500,width=500)], 
              title="Facemask & Glasses",
              description="Model: ssd_mobilenet_v2_320x320",
              theme=gr.themes.Soft(primary_hue="blue", secondary_hue="sky"),