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Update app.py
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app.py
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import gradio as gr
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return "Hello " + name + "!!"
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import gradio as gr
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import tensorflow as tf
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import numpy as np
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from matplotlib import cm
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from PIL import Image
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import imageio
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generator = tf.keras.models.load_model('dc_gan.h5')
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def interpolate(start,end,steps,fps):
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input_vectors = np.squeeze(np.linspace(start,end,steps))
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image_vectors = np.array(generator(input_vectors))
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writer = imageio.get_writer('test.mp4', fps=fps)
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for im in image_vectors:
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writer.append_data((im*255).astype('uint8'))
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writer.close()
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return gr.Video(value = 'test.mp4')
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output_interpolation = gr.Video()
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demo = gr.Blocks()
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with demo:
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btn = gr.Button("Submit")
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btn.click(interpolate, inputs=[start,end,steps,fps], outputs=[output_interpolation])
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demo.launch()
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