Spaces:
Running
on
L40S
Running
on
L40S
refactor to blocks
Browse files
app.py
CHANGED
@@ -6,98 +6,7 @@ import os
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from utils.gradio_helpers import parse_outputs, process_outputs
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inputs = []
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inputs.append(gr.Image(
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label="Image", type="filepath"
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))
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inputs.append(gr.Slider(
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label="Rotate Pitch", info='''Rotation pitch: Adjusts the up and down tilt of the face''', value=0,
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minimum=-20, maximum=20
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))
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inputs.append(gr.Slider(
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label="Rotate Yaw", info='''Rotation yaw: Adjusts the left and right turn of the face''', value=0,
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minimum=-20, maximum=20
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))
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inputs.append(gr.Slider(
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label="Rotate Roll", info='''Rotation roll: Adjusts the tilt of the face to the left or right''', value=0,
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minimum=-20, maximum=20
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))
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inputs.append(gr.Slider(
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label="Blink", info='''Blink: Controls the degree of eye closure''', value=0,
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minimum=-20, maximum=5
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))
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inputs.append(gr.Slider(
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label="Eyebrow", info='''Eyebrow: Adjusts the height and shape of the eyebrows''', value=0,
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minimum=-10, maximum=15
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))
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inputs.append(gr.Number(
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label="Wink", info='''Wink: Controls the degree of one eye closing''', value=0
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))
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inputs.append(gr.Slider(
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label="Pupil X", info='''Pupil X: Adjusts the horizontal position of the pupils''', value=0,
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minimum=-15, maximum=15
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))
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inputs.append(gr.Slider(
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label="Pupil Y", info='''Pupil Y: Adjusts the vertical position of the pupils''', value=0,
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minimum=-15, maximum=15
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))
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inputs.append(gr.Slider(
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label="Aaa", info='''AAA: Controls the mouth opening for 'aaa' sound''', value=0,
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minimum=-30, maximum=120
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))
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inputs.append(gr.Slider(
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label="Eee", info='''EEE: Controls the mouth shape for 'eee' sound''', value=0,
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minimum=-20, maximum=15
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))
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inputs.append(gr.Slider(
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label="Woo", info='''WOO: Controls the mouth shape for 'woo' sound''', value=0,
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minimum=-20, maximum=15
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))
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inputs.append(gr.Slider(
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label="Smile", info='''Smile: Adjusts the degree of smiling''', value=0,
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minimum=-0.3, maximum=1.3
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))
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inputs.append(gr.Number(
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label="Src Ratio", info='''Source ratio''', value=1
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))
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inputs.append(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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inputs.append(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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inputs.append(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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inputs.append(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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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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outputs = []
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outputs.append(gr.Image())
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expected_outputs = len(outputs)
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def predict(request: gr.Request, *args, progress=gr.Progress(track_tqdm=True)):
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headers = {'Content-Type': 'application/json'}
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@@ -130,14 +39,6 @@ def predict(request: gr.Request, *args, progress=gr.Progress(track_tqdm=True)):
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return json_response["output"]
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predict_outputs = parse_outputs(json_response["output"])
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processed_outputs = process_outputs(predict_outputs)
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difference_outputs = expected_outputs - len(processed_outputs)
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# If less outputs than expected, hide the extra ones
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if difference_outputs > 0:
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extra_outputs = [gr.update(visible=False)] * difference_outputs
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processed_outputs.extend(extra_outputs)
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# If more outputs than expected, cap the outputs to the expected number
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elif difference_outputs < 0:
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processed_outputs = processed_outputs[:difference_outputs]
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return tuple(processed_outputs) if len(processed_outputs) > 1 else processed_outputs[0]
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else:
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@@ -148,13 +49,105 @@ def predict(request: gr.Request, *args, progress=gr.Progress(track_tqdm=True)):
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title = "Demo for expression-editor cog image by fofr"
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model_description = "None"
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)
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from utils.gradio_helpers import parse_outputs, process_outputs
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def predict(request: gr.Request, *args, progress=gr.Progress(track_tqdm=True)):
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headers = {'Content-Type': 'application/json'}
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return json_response["output"]
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predict_outputs = parse_outputs(json_response["output"])
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processed_outputs = process_outputs(predict_outputs)
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return tuple(processed_outputs) if len(processed_outputs) > 1 else processed_outputs[0]
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else:
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title = "Demo for expression-editor cog image by fofr"
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model_description = "None"
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with gr.Blocks() as demo:
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with gr.Column():
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with gr.Row():
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with gr.Column():
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image = gr.Image(
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label="Image",
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type="filepath"
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)
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rotate_pitch = gr.Slider(
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label="Rotate Pitch", info='''Rotation pitch: Adjusts the up and down tilt of the face''',
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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 Yaw", info='''Rotation yaw: Adjusts the left and right turn of the face''',
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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 Roll", info='''Rotation roll: Adjusts the tilt of the face to the left or right''', value=0,
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minimum=-20, maximum=20
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)
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blink = gr.Slider(
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label="Blink", info='''Blink: Controls the degree of eye closure''', value=0,
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minimum=-20, maximum=5
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)
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eyebrow = gr.Slider(
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label="Eyebrow", info='''Eyebrow: Adjusts the height and shape of the eyebrows''', value=0,
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minimum=-10, maximum=15
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)
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wink = gr.Number(
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label="Wink", info='''Wink: Controls the degree of one eye closing''', value=0
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)
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pupil_x = gr.Slider(
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label="Pupil X", info='''Pupil X: Adjusts the horizontal position of the pupils''', 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", info='''Pupil Y: Adjusts the vertical position of the pupils''', value=0,
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minimum=-15, maximum=15
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)
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aaa = gr.Slider(
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label="Aaa", info='''AAA: Controls the mouth opening for 'aaa' sound''', 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", info='''EEE: Controls the mouth shape for 'eee' sound''', 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", info='''WOO: Controls the mouth shape for 'woo' sound''', 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", info='''Smile: Adjusts the degree of smiling''', value=0,
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minimum=-0.3, maximum=1.3
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)
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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()
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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.change(fn=predict, inputs=inputs, outputs=outputs)
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rotate_yaw.change(fn=predict, inputs=inputs, outputs=outputs)
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rotate_roll.change(fn=predict, inputs=inputs, outputs=outputs)
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blink.change(fn=predict, inputs=inputs, outputs=outputs)
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eyebrow.change(fn=predict, inputs=inputs, outputs=outputs)
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wink.change(fn=predict, inputs=inputs, outputs=outputs)
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pupil_x.change(fn=predict, inputs=inputs, outputs=outputs)
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pupil_y.change(fn=predict, inputs=inputs, outputs=outputs)
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aaa.change(fn=predict, inputs=inputs, outputs=outputs)
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eee.change(fn=predict, inputs=inputs, outputs=outputs)
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woo.change(fn=predict, inputs=inputs, outputs=outputs)
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smile.change(fn=predict, inputs=inputs, outputs=outputs)
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demo.launch(share=False, show_error=True)
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