Create app.py

app.py

@@ -0,0 +1,51 @@
+import os
+import random
+import gradio as gr
+from PIL import Image
+import torch
+from random import randint
+import sys
+from subprocess import call
+
+torch.hub.download_url_to_file('https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth', 'experiments/pretrained_models/RealESRGAN_x4plus.pth')
+
+def run_cmd(command):
+    try:
+        print(command)
+        call(command, shell=True)
+    except KeyboardInterrupt:
+        print("Process interrupted")
+        sys.exit(1)
+
+run_cmd("python setup.py develop")
+
+
+def inference(img):
+    _id = randint(1, 10000)
+    INPUT_DIR = "/tmp/input_image" + str(_id) + "/"
+    OUTPUT_DIR = "/tmp/output_image" + str(_id) + "/"
+    run_cmd("rm -rf " + INPUT_DIR)
+    run_cmd("rm -rf " + OUTPUT_DIR)
+    run_cmd("mkdir " + INPUT_DIR)
+    run_cmd("mkdir " + OUTPUT_DIR)
+    basewidth = 256
+    wpercent = (basewidth/float(img.size[0]))
+    hsize = int((float(img.size[1])*float(wpercent)))
+    img = img.resize((basewidth,hsize), Image.ANTIALIAS)
+    img.save(INPUT_DIR + "1.jpg", "JPEG")
+    run_cmd("python inference_realesrgan.py --model_path experiments/pretrained_models/RealESRGAN_x4plus.pth --input "+ INPUT_DIR + " --output " + OUTPUT_DIR + " --netscale 4 --outscale 3.5")
+    return os.path.join(OUTPUT_DIR, "1_out.jpg")
+
+  
+title = "Anime2Sketch"
+description = "demo for Anime2Sketch. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2104.05703'>Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis</a> | <a href='https://github.com/Mukosame/Anime2Sketch'>Github Repo</a></p>"
+
+gr.Interface(
+    inference, 
+    [gr.inputs.Image(type="pil", label="Input")], 
+    gr.outputs.Image(type="file", label="Output"),
+    title=title,
+    description=description,
+    article=article,
+).launch(debug=True)