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import gradio as gr
import subprocess
import shutil
import os
from datetime import datetime
from huggingface_hub import login, upload_file
# --- Config ---
REPO_ID = os.environ.get("HFPATH")
HF_TOKEN = os.environ.get("MAGIC")
#print(HF_TOKEN)
#if not HF_TOKEN:
# print("⚠️ Không tìm thấy biến môi trường 'MAGIC'")
login(HF_TOKEN)
# --- Upload function ---
def upload_to_hf(filepath):
filename = os.path.basename(filepath)
SUBFOLDER = datetime.now().strftime("%Y%m%d")
path_in_repo = f"{SUBFOLDER}/{filename}"
upload_file(
path_or_fileobj=filepath,
path_in_repo=path_in_repo,
repo_id=REPO_ID,
repo_type="dataset"
)
return f"https://huggingface.co/datasets/{REPO_ID}/blob/main/{filename}"
def run_scripts(target, source):
outputfile=[]
for target_file in target :
target_extension = os.path.splitext(target_file.name)[-1]
target_name = os.path.splitext(target_file.name)[1]
timestamp = datetime.now().strftime("%Y%m%d%H%M%S")
output_path1 = "output" + timestamp + target_extension
cmd1 = ["python3", "run.py", "-s", source.name, "-t", target_file.name, "-o", output_path1, "--frame-processor", "face_swapper","face_enhancer",'--many-faces']
subprocess.run(cmd1)
outputfile.append(output_path1)
print(output_path1)
upload_to_hf(output_path1)
return outputfile
iface = gr.Interface(
fn=run_scripts,
inputs=[
"files",
"file"
],
outputs="files",
title="Face swapper",
description="Upload a target image/video and a source image to swap faces.",
live=False
)
iface.launch() |