Update app.py

app.py

@@ -22,16 +22,16 @@ if not os.path.exists('RestoreFormer.pth'):
 if not os.path.exists('CodeFormer.pth'):
     os.system("wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/CodeFormer.pth -P .")
 
-torch.hub.download_url_to_file(
+# torch.hub.download_url_to_file(
     'https://upload.wikimedia.org/wikipedia/commons/thumb/a/ab/Abraham_Lincoln_O-77_matte_collodion_print.jpg/1024px-Abraham_Lincoln_O-77_matte_collodion_print.jpg',
     'lincoln.jpg')
-torch.hub.download_url_to_file(
+# torch.hub.download_url_to_file(
     'https://user-images.githubusercontent.com/17445847/187400315-87a90ac9-d231-45d6-b377-38702bd1838f.jpg',
     'AI-generate.jpg')
-torch.hub.download_url_to_file(
+# torch.hub.download_url_to_file(
     'https://user-images.githubusercontent.com/17445847/187400981-8a58f7a4-ef61-42d9-af80-bc6234cef860.jpg',
     'Blake_Lively.jpg')
-torch.hub.download_url_to_file(
+# torch.hub.download_url_to_file(
     'https://user-images.githubusercontent.com/17445847/187401133-8a3bf269-5b4d-4432-b2f0-6d26ee1d3307.png',
     '10045.png')
 
@@ -112,15 +112,7 @@ title = "GFPGAN: Practical Face Restoration Algorithm"
 description = r"""😊
 """
 article = r"""
-
-[![download](https://img.shields.io/github/downloads/TencentARC/GFPGAN/total.svg)](https://github.com/TencentARC/GFPGAN/releases)
-[![GitHub Stars](https://img.shields.io/github/stars/TencentARC/GFPGAN?style=social)](https://github.com/TencentARC/GFPGAN)
-[![arXiv](https://img.shields.io/badge/arXiv-Paper-<COLOR>.svg)](https://arxiv.org/abs/2101.04061)
-
-If you have any question, please email 📧 `xintao.wang@outlook.com` or `xintaowang@tencent.com`.
-
-<center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_GFPGAN' alt='visitor badge'></center>
-<center><img src='https://visitor-badge.glitch.me/badge?page_id=Gradio_Xintao_GFPGAN' alt='visitor badge'></center>
+😊
 """
 demo = gr.Interface(
     inference, [
@@ -138,7 +130,7 @@ demo = gr.Interface(
     article=article,
     # examples=[['AI-generate.jpg', 'v1.4', 2, 50], ['lincoln.jpg', 'v1.4', 2, 50], ['Blake_Lively.jpg', 'v1.4', 2, 50],
     #           ['10045.png', 'v1.4', 2, 50]]).launch()
-    examples=[['AI-generate.jpg', 'v1.4', 2], ['lincoln.jpg', 'v1.4', 2], ['Blake_Lively.jpg', 'v1.4', 2],
-             ['10045.png', 'v1.4', 2]])
+    # examples=[['AI-generate.jpg', 'v1.4', 2], ['lincoln.jpg', 'v1.4', 2], ['Blake_Lively.jpg', 'v1.4', 2],
+    #         ['10045.png', 'v1.4', 2]])
 demo.queue(concurrency_count=4)
 demo.launch()