Stereo0001/ee

1import requests2import gradio as gr3#import torch4 5#def down2(url='http://images.cocodataset.org/val2017/000000039769.jpg'):6#    torch.hub.download_url_to_file(url, 'cats.jpg')7 8def down(url):9    r = requests.get(url, stream = True)10    with open("d.jpg", "wb") as Pypdf:11        for chunk in r.iter_content(chunk_size = 1024): # 1024 bytes12            if chunk:13                Pypdf.write(chunk)14 15down('http://images.cocodataset.org/val2017/000000039769.jpg')16 17title = "Demo: T"18description = "Deas semantic segmentation and depth estimation."19examples =[["d.zip"]]20 21iface = gr.Interface(fn=down, 22                     inputs=gr.File(type="file"), 23                     outputs=gr.File(type="file"),24                     title=title,25                     description=description,26                     examples=examples,27                     enable_queue=True)28iface.launch(debug=True)29