Update app.py

app.py

@@ -114,10 +114,10 @@ def inference(img, version, scale):
 
 
 title = "GFPGAN: Practical Face Restoration Algorithm"
-description = r"""Gradio demo for <a href='https://github.com/TencentARC/GFPGAN' target='_blank'><b>GFPGAN: Towards Real-World Blind Face Restoration with Generative Facial Prior</b></a>.<br>
+description = r"""Gradio demo Fix for <a href='https://github.com/TencentARC/GFPGAN' target='_blank'><b>GFPGAN: Towards Real-World Blind Face Restoration with Generative Facial Prior</b></a>.<br>
 It can be used to restore your **old photos** or improve **AI-generated faces**.<br>
 To use it, simply upload your image.<br>
-If GFPGAN is helpful, please help to ⭐ the <a href='https://github.com/TencentARC/GFPGAN' target='_blank'>Github Repo</a> and recommend it to your friends 😊
+If GFPGAN is helpful, please help to ⭐ the <a href='https://github.com/Nick088Official/GFPGAN-Fix' target='_blank'>Github Repo</a> and recommend it to your friends 😊
 """
 article = r"""
 
@@ -125,19 +125,21 @@ article = r"""
 [![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 📧 `[email protected]` or `[email protected]`.
+If you have any question, please email 📧 `[email protected]` or `[email protected]` (original creators).
 
 <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, [
+    fn=inference,
+    inputs=[
         gr.Image(type="filepath", label="Input"),
         # gr.Radio(['v1.2', 'v1.3', 'v1.4', 'RestoreFormer', 'CodeFormer'], type="value", value='v1.4', label='version'),
         gr.Radio(['v1.2', 'v1.3', 'v1.4', 'RestoreFormer'], type="value", value='v1.4', label='version'),
         gr.Number(label="Rescaling factor", value=2),
         # gr.Slider(0, 100, label='Weight, only for CodeFormer. 0 for better quality, 100 for better identity', value=50)
-    ], [
+    ],
+    outputs=[
         gr.Image(type="numpy", label="Output (The whole image)"),
         gr.File(label="Download the output image")
     ],