Update app.py

app.py

@@ -85,12 +85,9 @@ def colorize(img: Dict[str, Image.Image], guide_img: Image.Image, seed: int, hin
 
 
 with gr.Blocks() as demo:
-    gr.Markdown('''<center><h1>Anime Colorization With Hint</h1></center>
-<h2>Colorize your anime sketches with hint points.</h2>
-This is a modified version of 
-<a href="https://github.com/HighCWu/pixel-guide-diffusion-for-anime-colorization">
-HighCWu/pixel-guide-diffusion-for-anime-colorization
-</a> with hint points inputs.<br />
+    gr.Markdown('''<center><h1>Image Colorization With Hint</h1></center>
+<h2>Colorize your images/sketches with hint points.</h2>
+<br />
 ''')
     with gr.Row():
         with gr.Column():
@@ -114,12 +111,8 @@ HighCWu/pixel-guide-diffusion-for-anime-colorization
         with gr.Column():
             output = gr.Image(type="pil", label="Output", interactive=False)
     gr.Markdown('''
-PS: Worse than the no hint version I thought. Probably because my model is underfitting in the super-resolution part<br />
-I modified a little gradio codes for uploading the colorful hint points.
+Upon uploading an image, kindly give color hints at specific points, and then run the model. Average inference time is about 52 seconds.
 ''')
-    gr.Markdown(
-        '<center><img src="https://visitor-badge.glitch.me/badge?page_id=highcwu.anime-colorization-with-hint" alt="visitor badge"/></center>'
-    )
     inp.upload(
         resize_original, 
         inp, 
@@ -132,4 +125,4 @@ I modified a little gradio codes for uploading the colorful hint points.
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(share=True)