Spaces:
Running
on
L40S
Running
on
L40S
UI refactored
Browse files
app.py
CHANGED
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@@ -6,6 +6,9 @@ import os
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from utils.gradio_helpers import parse_outputs, process_outputs
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names = ['image', 'rotate_pitch', 'rotate_yaw', 'rotate_roll', 'blink', 'eyebrow', 'wink', 'pupil_x', 'pupil_y', 'aaa', 'eee', 'woo', 'smile', 'src_ratio', 'sample_ratio', 'crop_factor', 'output_format', 'output_quality']
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def predict(request: gr.Request, *args, progress=gr.Progress(track_tqdm=True)):
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@@ -62,111 +65,127 @@ with gr.Blocks() as demo:
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type="filepath",
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height=180
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)
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with gr.
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submit_btn = gr.Button("Submit")
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with gr.Column():
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result_image = gr.Image(elem_id="top")
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gr.HTML("""
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<div style="display: flex; justify-content: center; align-items: center; text-align: center;">
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<p style="display: flex;gap: 6px;">
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<a href="https://huggingface.co/spaces/fffiloni/expression-editor?duplicate=true">
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<img src="https://huggingface.co/datasets/huggingface/badges/resolve/main/duplicate-this-space-
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</a>
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</p>
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</div>
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""")
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inputs = [image, rotate_pitch, rotate_yaw, rotate_roll, blink, eyebrow, wink, pupil_x, pupil_y, aaa, eee, woo, smile, src_ratio, sample_ratio, crop_factor, output_format, output_quality]
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outputs = [result_image]
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submit_btn.click(
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fn=predict,
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inputs=inputs,
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outputs=outputs,
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)
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rotate_pitch.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal")
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rotate_yaw.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal")
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rotate_roll.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal")
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blink.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal")
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eyebrow.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal")
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wink.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal")
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pupil_x.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal")
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pupil_y.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal")
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aaa.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal")
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eee.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal")
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woo.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal")
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smile.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal")
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demo.queue().launch(share=False, show_error=True)
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from utils.gradio_helpers import parse_outputs, process_outputs
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def display_uploaded_image(image_in):
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return image_in
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names = ['image', 'rotate_pitch', 'rotate_yaw', 'rotate_roll', 'blink', 'eyebrow', 'wink', 'pupil_x', 'pupil_y', 'aaa', 'eee', 'woo', 'smile', 'src_ratio', 'sample_ratio', 'crop_factor', 'output_format', 'output_quality']
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def predict(request: gr.Request, *args, progress=gr.Progress(track_tqdm=True)):
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type="filepath",
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height=180
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)
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with gr.Tab("HEAD"):
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with gr.Column():
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rotate_pitch = gr.Slider(
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label="Rotate Up-Down",
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value=0,
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minimum=-20, maximum=20
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)
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rotate_yaw = gr.Slider(
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label="Rotate Left-Right turn",
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value=0,
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minimum=-20, maximum=20
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)
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rotate_roll = gr.Slider(
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label="Rotate Left-Right tilt", value=0,
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minimum=-20, maximum=20
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)
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with gr.Tab("EYES"):
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with gr.Column():
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eyebrow = gr.Slider(
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label="Eyebrow", value=0,
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minimum=-10, maximum=15
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)
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with gr.Row():
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blink = gr.Slider(
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label="Blink", value=0,
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minimum=-20, maximum=5
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)
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wink = gr.Slider(
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label="Wink", value=0,
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minimum=0, maximum=25
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)
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with gr.Row():
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pupil_x = gr.Slider(
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label="Pupil X", value=0,
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minimum=-15, maximum=15
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)
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pupil_y = gr.Slider(
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label="Pupil Y", value=0,
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minimum=-15, maximum=15
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)
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with gr.Tab("MOUTH"):
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with gr.Column():
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with gr.Row():
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aaa = gr.Slider(
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label="Aaa", value=0,
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minimum=-30, maximum=120
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)
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eee = gr.Slider(
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label="Eee", value=0,
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minimum=-20, maximum=15
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)
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woo = gr.Slider(
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label="Woo", value=0,
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minimum=-20, maximum=15
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)
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smile = gr.Slider(
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label="Smile", value=0,
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minimum=-0.3, maximum=1.3
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)
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with gr.Tab("More Settings"):
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with gr.Column():
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src_ratio = gr.Number(
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label="Src Ratio", info='''Source ratio''', value=1
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)
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sample_ratio = gr.Slider(
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label="Sample Ratio", info='''Sample ratio''', value=1,
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minimum=-0.2, maximum=1.2
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)
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crop_factor = gr.Slider(
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label="Crop Factor", info='''Crop factor''', value=1.7,
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minimum=1.5, maximum=2.5
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)
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output_format = gr.Dropdown(
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choices=['webp', 'jpg', 'png'], label="output_format", info='''Format of the output images''', value="webp"
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)
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output_quality = gr.Number(
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label="Output Quality", info='''Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.''', value=95
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)
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submit_btn = gr.Button("Submit")
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with gr.Column():
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result_image = gr.Image(elem_id="top")
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gr.HTML("""
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<div style="display: flex; flex-direction: column;justify-content: center; align-items: center; text-align: center;">
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<p style="display: flex;gap: 6px;">
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<a href="https://huggingface.co/spaces/fffiloni/expression-editor?duplicate=true">
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<img src="https://huggingface.co/datasets/huggingface/badges/resolve/main/duplicate-this-space-lg.svg" alt="Duplicate this Space">
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</a>
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</p>
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<p>to skip the queue and enjoy faster inference on the GPU of your choice </p>
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</div>
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""")
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inputs = [image, rotate_pitch, rotate_yaw, rotate_roll, blink, eyebrow, wink, pupil_x, pupil_y, aaa, eee, woo, smile, src_ratio, sample_ratio, crop_factor, output_format, output_quality]
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outputs = [result_image]
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image.upload(
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fn = display_uploaded_image,
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inputs = [image],
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outputs = [result_image],
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queue = False
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)
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submit_btn.click(
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fn=predict,
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inputs=inputs,
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outputs=outputs,
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concurrency_limit=4
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)
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rotate_pitch.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal", concurrency_limit=2)
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rotate_yaw.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal", concurrency_limit=2)
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rotate_roll.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal", concurrency_limit=2)
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blink.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal", concurrency_limit=2)
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eyebrow.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal", concurrency_limit=2)
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wink.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal", concurrency_limit=2)
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pupil_x.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal", concurrency_limit=2)
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pupil_y.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal", concurrency_limit=2)
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aaa.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal", concurrency_limit=2)
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eee.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal", concurrency_limit=2)
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woo.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal", concurrency_limit=2)
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smile.release(fn=predict, inputs=inputs, outputs=outputs, show_progress="minimal", concurrency_limit=2)
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demo.queue().launch(share=False, show_error=True)
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