Delete app.py

app.py

@@ -1,67 +0,0 @@
-import sys
-import os
-import cv2
-import matplotlib
-import matplotlib.pyplot as plt
-import numpy as np
-import torch
-import torchvision
-import glob
-import gradio as gr
-from PIL import Image
-from segment_anything import SamAutomaticMaskGenerator, SamPredictor, sam_model_registry
-import logging
-from huggingface_hub import hf_hub_download
-
-token = os.environ['HUB_TOKEN']
-loc =hf_hub_download(repo_id="JunchuanYu/files_for_segmentRS", filename="utils.py",repo_type="dataset",local_dir='.',token=token)
-sys.path.append(loc)
-from utils import *
-
-with gr.Blocks(theme='gradio/soft') as demo:
-    gr.Markdown(title)
-    with gr.Accordion("Instructions For User 👉", open=False):
-        gr.Markdown(description)
-    x=gr.State(value=[])
-    y=gr.State(value=[])
-    label=gr.State(value=[])
-
-    with gr.Row():
-        with gr.Column():  
-            mode=gr.inputs.Radio(['Positive','Negative'], type="value",default='Positive',label='Types of sampling methods')
-        with gr.Column():
-                clear_bn=gr.Button("Clear Selection")
-                interseg_button = gr.Button("Interactive Segment",variant='primary')
-    with gr.Row():
-        input_img = gr.Image(label="Input")
-        gallery = gr.Image(label="Selected Sample Points")
-        
-    input_img.select(get_select_coords, [input_img, mode,x,y,label], [gallery,x,y,label])
-    
-    with gr.Row():
-        output_img = gr.Image(label="Result")           
-        mask_img = gr.Image(label="Mask")      
-    with gr.Row():
-        with gr.Column():
-            pred_iou_thresh = gr.Slider(minimum=0.8, maximum=1, value=0.90, step=0.01, interactive=True, label="Prediction Thresh")
-        with gr.Column():
-            points_per_side = gr.Slider(minimum=16, maximum=96, value=32, step=16, interactive=True, label="Points Per Side")
-    autoseg_button = gr.Button("Auto Segment",variant="primary")
-    emptyBtn = gr.Button("Restart",variant="secondary")
-
-    interseg_button.click(interactive_seg, inputs=[input_img,x,y,label], outputs=[output_img,mask_img])
-    autoseg_button.click(auto_seg, inputs=[input_img,pred_iou_thresh,points_per_side], outputs=[mask_img])
-
-    clear_bn.click(clear_point,outputs=[gallery,x,y,label],show_progress=True)
-    emptyBtn.click(reset_state,outputs=[input_img,gallery,output_img,mask_img,x,y,label],show_progress=True,)   
-    
-    example = gr.Examples(
-        examples=[[s,0.88,32] for s in glob.glob('./images/*')],
-        fn=auto_seg,
-        inputs=[input_img,pred_iou_thresh,points_per_side],
-        outputs=[output_img],
-        cache_examples=False,examples_per_page=5)
-    
-    gr.Markdown(descriptionend)
-if __name__ == "__main__":
-    demo.launch(debug=False,show_api=False)