cleaned code

app.py

@@ -1,5 +1,3 @@
-#!/usr/bin/env python
-
 from __future__ import annotations
 
 import argparse
@@ -44,9 +42,6 @@ Check out our [GitHub repo](https://github.com/Jingkang50/OpenPSG) and [official
     <img id="visualzation" src="https://github.com/Jingkang50/OpenPSG/blob/main/assets/psgtr_long.gif?raw=true" alt="visualzation" style="width:100%">
   </div>
 </div>
-
-Inference takes about 10 second per image.
-
 '''
 FOOTER = '<img id="visitor-badge" src="https://visitor-badge.glitch.me/badge?page_id=c-liangyu.openpsg" alt="visitor badge" />'
 

fake_gan.py

@@ -1,56 +0,0 @@
-# another demo
-# https://huggingface.co/spaces/dalle-mini/dalle-mini/blob/21944e2a8508568387951fc66a30e90f1d58819d/app/gradio/app.py
-
-# This demo needs to be run from the repo folder.
-# python demo/fake_gan/run.py
-import os
-import random
-import time
-
-import gradio as gr
-
-
-def fake_gan(count, *args):
-    time.sleep(1)
-    images = [
-        random.choice(
-            [
-                "https://images.unsplash.com/photo-1507003211169-0a1dd7228f2d?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=387&q=80",
-                "https://images.unsplash.com/photo-1554151228-14d9def656e4?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=386&q=80",
-                "https://images.unsplash.com/photo-1542909168-82c3e7fdca5c?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxzZWFyY2h8MXx8aHVtYW4lMjBmYWNlfGVufDB8fDB8fA%3D%3D&w=1000&q=80",
-                "https://images.unsplash.com/photo-1546456073-92b9f0a8d413?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=387&q=80",
-                "https://images.unsplash.com/photo-1601412436009-d964bd02edbc?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=464&q=80",
-            ]
-        )
-        for _ in range(int(count))
-    ]
-    return images
-
-
-cheetah = os.path.join(os.path.dirname(__file__), "files/cheetah1.jpg")
-
-demo = gr.Interface(
-    fn=fake_gan,
-    inputs=[
-        gr.Number(label="Generation Count"),
-        gr.Image(label="Initial Image (optional)"),
-        gr.Slider(0, 50, 25, label="TV_scale (for smoothness)"),
-        gr.Slider(0, 50, 25, label="Range_Scale (out of range RBG)"),
-        gr.Number(label="Seed"),
-        gr.Number(label="Respacing"),
-    ],
-    outputs=gr.Gallery(label="Generated Images"),
-    title="FD-GAN",
-    description="This is a fake demo of a GAN. In reality, the images are randomly chosen from Unsplash.",
-    examples=[
-        [2, cheetah, 12, None, None, None],
-        [1, cheetah, 2, None, None, None],
-        [4, cheetah, 42, None, None, None],
-        [5, cheetah, 23, None, None, None],
-        [4, cheetah, 11, None, None, None],
-        [3, cheetah, 1, None, None, None],
-    ],
-)
-
-if __name__ == "__main__":
-    demo.launch()