Update app.py

app.py

@@ -2,47 +2,6 @@ import numpy as np
 import gradio as gr
 from src.detect import predict
 
-from src.config import PASCAL_CLASSES
-
-
-# def inference(
-#     org_img: np.ndarray,
-#     iou_thresh: float, thresh: float,
-#     show_cam: str,
-#     transparency: float,
-# ):
-#     outputs = predict(org_img, iou_thresh, thresh, show_cam, transparency)
-#     return outputs
-
-# demo = gr.Interface(
-#     predict,
-#     inputs=[
-#         gr.Image(label="Input Image"),
-#         gr.Slider(0, 1, value=0.5, label="IOU Threshold"),
-#         gr.Slider(0, 1, value=0.4, label="Threshold"),
-#         gr.Checkbox(label="Show Grad Cam"),
-#         gr.Slider(0, 1, value=0.5, label="Opacity of GradCAM"),
-#     ],
-#     outputs=[
-#         gr.Gallery(rows=2, columns=1),
-#     ],
-#     title="YoloV3 on PASCAL VOC Dataset From Scratch",
-#     examples=[
-#         ["example_images/009922.jpg", 0.5, 0.4, True, 0.5],
-#         ["example_images/009938.jpg", 0.6, 0.5, True, 0.5],
-#         ["example_images/009948.jpg", 0.55, 0.45, True, 0.5],
-#         ["example_images/009952.jpg", 0.5, 0.4, True, 0.5],
-#         ["example_images/009953.jpg", 0.6, 0.7, True, 0.5],
-#         ["example_images/009956.jpg", 0.5, 0.4, True, 0.5],
-#         ["example_images/009957.jpg", 0.6, 0.5, True, 0.5],
-#         ["example_images/009960.jpg", 0.55, 0.45, True, 0.5],
-#         ["example_images/009961.jpg", 0.5, 0.4, True, 0.5],
-#         ["example_images/009962.jpg", 0.6, 0.7, True, 0.5],
-#     ],
-# )
-# demo.launch()
-
-
 gr.Interface(
     predict,
     inputs=[