Create app.py

app.py

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+import gradio as gr
+import numpy as np
+from tensorflow.keras.preprocessing.image import load_img, img_to_array
+from tensorflow.keras.models import load_model
+from PIL import Image
+
+inputs = gr.inputs.Image()
+o1 = gr.outputs.Image()
+o2 = gr.outputs.Image()
+gen_model = load_model('generator_model.h5')
+
+def colorify(inp):
+  
+  pixels = load_img(inp, target_size=(512, 512))
+  pixels = img_to_array(pixels)
+  pixels = (pixels - 127.5) / 127.5
+  pixels = np.expand_dims(pixels, 0)
+  gen_image = gen_model.predict(pixels)
+  gen_image = (gen_image + 1) / 1.5
+  
+  return Image.fromarray(gen_image[0]*255)
+  
+title = "Colorify"
+description = "Recolor your images using this lite version of PIX2PIX GAN"
+examples=[['example1.png'],['example2.jpg']]
+article = "<p style='text-align: center'>"
+
+gr.Interface(fn=colorify, inputs=inputs, outputs=[o1, o2], title=title, description=description, article=article, examples=examples, enable_queue=True).launch()
+