Update app.py

app.py

@@ -1,5 +1,5 @@
 import os
-os.system("pip install dlib==19.24.2")
+os.system("pip install dlib")
 
 import sys
 import face_detection
@@ -12,7 +12,6 @@ torch.set_grad_enabled(False)
 net = torch.jit.load('dragness_p2s2p_torchscript_cpu.pt')
 net.eval()
 
-
 def tensor2im(var):
 	var = var.cpu().detach().transpose(0, 2).transpose(0, 1).numpy()
 	var = ((var + 1) / 2)
@@ -85,7 +84,7 @@ def inference(img):
     out = face2drag(img, 256)
     return out
       
-  
+       
 title = "Dragness"
 description = "Gradio demo for Drag finetuned Pixel2Style2Pixel. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
 article = "<p style='text-align: center'><a href='https://github.com/justinpinkney/pixel2style2pixel/tree/nw' target='_blank'>Github Repo</a></p><p style='text-align: center'>samples: <img src='https://hf.space/gradioiframe/Norod78/Dragness/file/Sample00001.jpg' alt='Sample00001'/><img src='https://hf.space/gradioiframe/Norod78/Dragness/file/Sample00002.jpg' alt='Sample00002'/><img src='https://hf.space/gradioiframe/Norod78/Dragness/file/Sample00003.jpg' alt='Sample00003'/><img src='https://hf.space/gradioiframe/Norod78/Dragness/file/Sample00004.jpg' alt='Sample00004'/><img src='https://hf.space/gradioiframe/Norod78/Dragness/file/Sample00005.jpg' alt='Sample00005'/><img src='https://hf.space/gradioiframe/Norod78/Dragness/file/Sample00006.jpg' alt='Sample00006'/></p><p>Drag model was fine tuned by Doron Adler</p>"