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Running
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import gradio as gr
import subprocess as sp
import os
os.makedirs("./output", exist_ok=True)
def run(*args):
source, target, *rest_args = args
if not os.path.exists(source):
return "Source file does not exist"
if not os.path.exists(target):
return "Target file does not exist"
filename = os.path.basename(target)
output = f"./output/{filename}"
frame_processor = rest_args[0]
selected_frame_processors = ' '.join(frame_processor)
face_analyser_direction = rest_args[1]
face_analyser_age = rest_args[2]
face_analyser_gender = rest_args[3]
cmd = (
f"python run.py --execution-providers cuda -s {source} -t {target} -o {output} "
f"--frame-processors {selected_frame_processors} "
f"--face-analyser-direction {face_analyser_direction} "
f"--face-analyser-age {face_analyser_age} "
f"--face-analyser-gender {face_analyser_gender}"
)
if len(rest_args) > 4:
skip_audio = rest_args[4]
keep_fps = rest_args[5]
keep_temp = rest_args[6]
if skip_audio:
cmd += " --skip-audio"
if keep_fps:
cmd += " --keep-fps"
if keep_temp:
cmd += " --keep-temp"
try:
print("Started...", cmd)
sp.run(cmd, shell=True, capture_output=True, text=True).stdout
return output
except Exception as e:
return f"An error occurred: {str(e)}"
def clear_output(output):
if os.path.exists(output):
os.remove(output)
return "Output file deleted"
else:
return "Output file does not exist"
def get_theme() -> gr.Theme:
return gr.themes.Soft(
primary_hue = gr.themes.colors.red,
secondary_hue = gr.themes.colors.gray,
font = gr.themes.GoogleFont('Inter')
).set(
background_fill_primary = '*neutral_50',
block_label_text_size = '*text_sm',
block_title_text_size = '*text_sm'
)
with gr.Blocks(theme=get_theme(), title="DeepFakeAI 1.0.0") as ui:
with gr.Box():
gr.HTML('<center><a href="codegenius.me">DeepFakeAI 1.0.0</a></center>')
with gr.Box():
with gr.Column(scale=3):
frame_processor_checkbox = gr.CheckboxGroup(
choices = ['face_swapper', 'face_enhancer', 'frame_enhancer'],
label = 'FRAME PROCESSORS',
value = ['face_swapper'] # Default value
)
with gr.Box():
with gr.Column(scale=3):
face_analyser_direction_dropdown = gr.Dropdown(
label = 'FACE ANALYSER DIRECTION',
choices = ['left-right', 'right-left', 'top-bottom', 'bottom-top', 'small-large', 'large-small'],
value = 'left-right'
)
face_analyser_age_dropdown = gr.Dropdown(
label = 'FACE ANALYSER AGE',
choices = ['none'] + ['child', 'young', 'adult', 'old'],
value = 'none'
)
face_analyser_gender_dropdown = gr.Dropdown(
label = 'FACE ANALYSER GENDER',
choices = ['none'] + ['male', 'female'],
value = 'none'
)
with gr.Tab("Image: "):
source_image = gr.Image(type="filepath", label="SOURCE IMAGE")
target_image = gr.Image(type="filepath", label="TARGET IMAGE")
image_button = gr.Button("START")
clear_button = gr.Button("CLEAR")
image_output = gr.Image(label="OUTPUT")
image_button.click(
run,
inputs=[source_image, target_image, frame_processor_checkbox, face_analyser_direction_dropdown, face_analyser_age_dropdown, face_analyser_gender_dropdown],
outputs=image_output
)
clear_button.click(clear_output, inputs=[image_output])
with gr.Tab("Video: "):
source_image_video = gr.Image(type="filepath", label="SOURCE IMAGE")
target_video = gr.Video(label="TARGET VIDEO")
with gr.Box():
skip_audio = gr.Checkbox(label="SKIP AUDIO")
keep_fps = gr.Checkbox(label="KEEP FPS")
keep_temp = gr.Checkbox(label="KEEP TEMP")
video_button = gr.Button("START")
clear_video_button = gr.Button("CLEAR")
video_output = gr.Video(label="OUTPUT")
video_button.click(
run,
inputs=[source_image_video, target_video, frame_processor_checkbox, face_analyser_direction_dropdown, face_analyser_age_dropdown, face_analyser_gender_dropdown, skip_audio, keep_fps, keep_temp],
outputs=video_output
)
clear_video_button.click(clear_output, inputs=[video_output])
ui.launch(debug=True) |