fs-ai / app.py
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import gradio as gr
import os
from run import run_faceswap
def process_face_swap(source_image, target_image, target_video):
source_path = "face.png"
target_path = "target"
# Save source image
source_image.save(source_path)
# Use whichever is provided (image or video)
if target_image is not None:
ext = ".jpg"
target_image.save(target_path + ext)
used_path = target_path + ext
elif target_video is not None:
ext = ".mp4"
target_video.save(target_path + ext)
used_path = target_path + ext
else:
raise ValueError("Please upload either an image or a video.")
output_path = run_faceswap(source_path, used_path)
return output_path
with gr.Blocks() as demo:
gr.Markdown("## Lightweight Roop Face Swap")
gr.Markdown("Upload face.png and target image or video. Output will be result.jpg or result.mp4")
with gr.Row():
source_image = gr.Image(label="Source Face (face.png)", type="pil")
with gr.Row():
with gr.Tab("Target Image"):
target_image = gr.Image(label="Upload Target Image (.jpg)", type="pil")
with gr.Tab("Target Video"):
target_video = gr.Video(label="Upload Target Video (.mp4)")
output_file = gr.File(label="Swapped Output")
submit_btn = gr.Button("Submit")
submit_btn.click(
fn=process_face_swap,
inputs=[source_image, target_image, target_video],
outputs=output_file
)
demo.launch()