Update app.py

app.py

@@ -32,9 +32,10 @@ def inference(img_path, Style, if_face=None):
         try:
             det_face = True if if_face=="Yes" else False
             output = AnimeGANv3_src.Convert(img, f, det_face)
-            save_path = f"output/out.{img_path.rsplit('.')[-1]}"
-            cv2.imwrite(save_path, output[:, :, ::-1])
-            return output, save_path
+            result = cv2.resize(output, (img.shape[1],img.shape[0]  ), interpolation = cv2.INTER_AREA)
+           # save_path = f"output/out.{img_path.rsplit('.')[-1]}"
+            #cv2.imwrite(save_path, result[:, :, ::-1])
+            return result
         except RuntimeError as error:
             print('Error', error)
     except Exception as error:
@@ -47,12 +48,9 @@ description = r"""Official online demo for <a href='https://github.com/Tachibana
 It can be used to turn your photos or videos into anime.<br>
 To use it, simply upload your image. It can convert landscape photos to Hayao Miyazaki or Makoto Shinkai style anime, as well as 6 style conversions about human faces.<br>
 If AnimeGANv3 is helpful, please help to ⭐ the <a href='https://github.com/TachibanaYoshino/AnimeGANv3' target='_blank'>Github Repo</a> and recommend it to your friends. 😊
-
 """
 article = r"""
-
 [![GitHub Stars](https://img.shields.io/github/stars/TachibanaYoshino/AnimeGANv3?style=social)](https://github.com/TachibanaYoshino/AnimeGANv3)    
-
 ### 🔥 Demo
 I. Video to anime (Hayao Style)   
 <p style="display: flex;">
@@ -62,21 +60,16 @@ I. Video to anime (Hayao Style)
 </p>
 II. Video to anime (USA cartoon + Disney style) 
   <a href="https://youtu.be/vJqQQMRYKh0"><img src="https://img.shields.io/static/v1?label=YouTube&message=AnimeGANv3_Trump style v1.5 &color=gold"/></a>   
-
 ----------
-
 ## License  
 This repo is made freely available to academic and non-academic entities for non-commercial purposes such as academic research, teaching, scientific publications. Permission is granted to use the AnimeGANv3 given that you agree to my license terms. Regarding the request for commercial use, please contact us via email to help you obtain the authorization letter.   
-
 ## Acknowledgement 
 * Huggingface UI is referenced from @akhaliq/GFPGAN.     
 * The dataset of AnimeGANv3_JP_face v1.0 is from DCTnet and then manually optimized.       
-
 ## Author  
 Xin Chen    
 If you have any question, please open an issue on GitHub Repo.    
          
-
 <center><img src='https://visitor-badge.glitch.me/badge?page_id=AnimeGANv3_online' alt='visitor badge'></center>
 """
 gr.Interface(
@@ -98,11 +91,9 @@ gr.Interface(
         gr.inputs.Radio(['Yes', 'No'], type="value", default='No', label='Extract face'),
     ], [
         gr.outputs.Image(type="numpy", label="Output (The whole image)"),
-        gr.outputs.File(label="Download the output image")
+       # gr.outputs.File(label="Download the output image")
     ],
     title=title,
     description=description,
     article=article,
-    allow_flagging="never",
-    examples=[['samples/7_out.jpg', 'AnimeGANv3_Arcane', "Yes"], ['samples/15566.jpg', 'AnimeGANv3_USA', "Yes"],['samples/23034.jpg', 'AnimeGANv3_Trump v1.0', "Yes"], ['samples/jp_13.jpg', 'AnimeGANv3_Hayao', "No"],
-              ['samples/jp_20.jpg', 'AnimeGANv3_Shinkai', "No"], ['samples/Hamabe Minami.jpg', 'AnimeGANv3_Disney v1.0', "Yes"], ['samples/120.jpg', 'AnimeGANv3_JP_face v1.0', "Yes"], ['samples/52014.jpg', 'AnimeGANv3_PortraitSketch', "Yes"]]).launch(enable_queue=True)
+    allow_flagging="never").launch(enable_queue=True)