Create app.py

app.py

@@ -0,0 +1,65 @@
+# Copyright 2021 Asuhariet Ygvar
+# 
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+# 
+# http://www.apache.org/licenses/LICENSE-2.0
+# 
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
+# or implied. See the License for the specific language governing
+# permissions and limitations under the License.
+
+import sys
+import onnxruntime
+import numpy as np
+from PIL import Image
+import torchtext
+
+
+torchtext.utils.download_from_url("https://drive.google.com/uc?id=146kojNCMfswRbWNE4NKRyOiRnGs12rZN", root=".")
+torchtext.utils.download_from_url("https://drive.google.com/uc?id=1a3omUl96fKkvFgUHsR3RD9W3kjSAgJFK", root=".")
+
+
+
+# Load ONNX model
+session = onnxruntime.InferenceSession('model.onnx')
+
+# Load output hash matrix
+seed1 = open('neuralhash_128x96_seed1.dat', 'rb').read()[128:]
+seed1 = np.frombuffer(seed1, dtype=np.float32)
+seed1 = seed1.reshape([96, 128])
+
+# Preprocess image
+def inference(img):
+  image = Image.open(img.name).convert('RGB')
+  image = image.resize([360, 360])
+  arr = np.array(image).astype(np.float32) / 255.0
+  arr = arr * 2.0 - 1.0
+  arr = arr.transpose(2, 0, 1).reshape([1, 3, 360, 360])
+  
+  # Run model
+  inputs = {session.get_inputs()[0].name: arr}
+  outs = session.run(None, inputs)
+  
+  # Convert model output to hex hash
+  hash_output = seed1.dot(outs[0].flatten())
+  hash_bits = ''.join(['1' if it >= 0 else '0' for it in hash_output])
+  hash_hex = '{:0{}x}'.format(int(hash_bits, 2), len(hash_bits) // 4)
+  
+  return hash_hex
+ 
+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="file", label="Input"), 
+    gr.outputs.Textbox(label="Output Text"),
+    title=title,
+    description=description,
+    article=article
+    ).launch(debug=True)