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import numpy as np
import gradio as gr
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
'''
from cryptography.hazmat.primitives.asymmetric import rsa, padding
from cryptography.hazmat.primitives import serialization, hashes
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives.asymmetric import utils
import base64
import json
import datetime
def load_public_key_from_file(file_path):
with open(file_path, "rb") as key_file:
public_key = serialization.load_pem_public_key(
key_file.read(),
backend=default_backend()
)
return public_key
def verify_signature(public_key, data, signature):
"""
Verify a signature with a public key.
Converts the data to bytes if it's not already in byte format.
"""
# Ensure the data is in bytes. If it's a string, encode it to UTF-8.
if isinstance(data, str):
data = data.encode('utf-8')
try:
# Verify the signature
public_key.verify(
signature,
data,
padding.PSS(
mgf=padding.MGF1(hashes.SHA256()),
salt_length=padding.PSS.MAX_LENGTH
),
hashes.SHA256()
)
return True
except Exception as e:
print("Verification failed:", e)
return False
public_key = load_public_key_from_file("./nsfwais.pubkey.pem")
'''
def swap_face(source_file, target_file, doFaceEnhancer):
'''
skey = json.loads(skey)
#first validate skey
signature = base64.b64decode(skey["s"])
if not verify_signature(public_key, skey["t"], signature):
raise Exception("verify authkey failed.")
timestamp_requested = int(skey["t"])
timestamp_now = int(datetime.datetime.utcnow().replace(tzinfo=datetime.timezone.utc).timestamp())
if timestamp_now - timestamp_requested > 20:
raise Exception(f"authkey timeout, {timestamp_now - timestamp_requested}")
'''
source_path = "input.jpg"
target_path = "target.jpg"
source_image = Image.fromarray(source_file)
source_image.save(source_path)
target_image = Image.fromarray(target_file)
target_image.save(target_path)
print("source_path: ", source_path)
print("target_path: ", target_path)
roop.globals.source_path = source_path
roop.globals.target_path = target_path
output_path = "output.jpg"
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 = 18
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
app = gr.Blocks()
with app:
gr.Interface(
fn=swap_face,
inputs=[gr.Image(), gr.Image(), gr.Checkbox(label="face_enhancer?", info="do face enhancer?")],
outputs="image"
)
app.launch()
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