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# -* coding:UTF-8 -*
# !/usr/bin/env python
import numpy as np
import gradio as gr
from gradio import themes
import roop.globals
from roop.core import (
start,
decode_execution_providers,
suggest_max_memory,
suggest_execution_threads,
)
from roop.processors.frame.core import get_frame_processors_modules
from roop.utilities import normalize_output_path
import os
from PIL import Image
def swap_face(source_file, target_file, doFaceEnhancer, video_quality):
source_path = "input.jpg"
target_path = "target.mp4"
# Save source image
source_image = Image.fromarray(source_file)
source_image.save(source_path)
# Copy the target video to the working directory
os.rename(target_file, target_path)
print("source_path: ", source_path)
print("target_path: ", target_path)
roop.globals.video_quality = video_quality
roop.globals.source_path = source_path
roop.globals.target_path = target_path
output_path = "output.mp4"
roop.globals.output_path = normalize_output_path(
roop.globals.source_path, roop.globals.target_path, output_path
)
if doFaceEnhancer:
roop.globals.frame_processors = ["face_swapper", "face_enhancer"]
else:
roop.globals.frame_processors = ["face_swapper"]
roop.globals.headless = True
roop.globals.keep_fps = True
roop.globals.keep_audio = True
roop.globals.keep_frames = False
roop.globals.many_faces = False
roop.globals.video_encoder = "libx264"
roop.globals.video_quality = 10
roop.globals.max_memory = suggest_max_memory()
roop.globals.execution_providers = decode_execution_providers(["cuda"])
roop.globals.execution_threads = suggest_execution_threads()
print(
"start process",
roop.globals.source_path,
roop.globals.target_path,
roop.globals.output_path,
)
for frame_processor in get_frame_processors_modules(
roop.globals.frame_processors
):
if not frame_processor.pre_check():
return
start()
return output_path
with gr.Blocks(
title="ROOP DeepFake Video",
theme=themes.Soft(primary_hue="blue", secondary_hue="blue"), # Apply blue theme
) as demo:
gr.HTML(f'<div style="text-align: center;"><img src="https://www.dpu.ac.th/img/Logo_update_080720.png" width="200"></div>') # Header image
gr.Markdown(
"""
## Create DeepFake Video
Upload a source image and a target video, select whether to enable face enhancer, many-face mode and adjust video quality. Then click 'Submit' to swap faces in the video.
**Credits:**
This study was conducted in the College of Creative Design and Entertainment Technology laboratory at Dhurakij Pundit University by Asst. Prof. Banyapon Poolsawas. The project builds upon the s0md3v/roop repository (https://github.com/s0md3v/roop) for face swapping experiments with video files in the Generative AI and Machine Learning course.
"""
)
with gr.Row():
with gr.Column():
source_image = gr.Image(label="Source Image", type="numpy")
target_video = gr.Video(label="Target Video")
face_enhancer = gr.Checkbox(label="Enable Face Enhancer")
video_quality = gr.Slider(minimum=0, maximum=100, step=1, value=18, label="Output Video Quality (0 is Best, 100 is Worst)")
submit = gr.Button("Submit")
with gr.Column():
output_video = gr.Video(label="Output Video")
submit.click(swap_face, inputs=[source_image, target_video, face_enhancer, video_quality], outputs=output_video)
demo.launch()
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