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import gradio as gr | |
from PIL import Image | |
import time | |
import os | |
import pathlib | |
def greet(input1, input2): | |
modo = "video" | |
#local o huggingface | |
plataforma = "local" | |
#face_swapper o face_enhancer o la combinaci贸n de ellos. | |
procesador = "face_swapper" | |
print("Inicio: Estamos en modo ", modo) | |
print("Estamos en la plataforma:", plataforma) | |
print("El procesador es: ", procesador) | |
print("Input1:") | |
print(input1) | |
print("Input2:") | |
print(input2) | |
path_video = input2 | |
if plataforma == "local": | |
#Para local. | |
path_parts = path_video.split("\\") | |
else: | |
#Para HuggingFace | |
path_parts = path_video.split("/") | |
print("Imprimiendo path_parts: ", path_parts) | |
path_particular = "/".join(path_parts[0:len(path_parts) - 1]) | |
path_general = "/".join(path_parts[0:len(path_parts) - 2]) | |
path_general = path_general.replace("\\", "/") | |
path_particular = path_particular.replace("\\", "/") | |
print("Path general: ", path_general) | |
print("Path general: ", path_particular) | |
path = pathlib.Path("result.mp4") | |
path_foto = pathlib.Path(path_particular + "/temp/whitebeauty/0015.png") | |
print("脡ste es el path foto: ", path_foto) | |
files = os.listdir(path_general) | |
print("Estos son los files que hay:") | |
print(files) | |
time.sleep(5) | |
ext_imagen = "png" | |
ext_video = "mp4" | |
#Selector de modo. | |
if modo == "video": | |
print("Se asigno la extensi贸n de video:", ext_video) | |
extension = ext_video | |
else: | |
print("Se asigno la extensi贸n de video:", ext_video) | |
extension = ext_imagen | |
#El source siempre es una imagen. | |
source_path = "source.png" | |
target_path = "target." + extension | |
result_path = "result." + extension | |
#La primera siempre ser谩 una imagen, por eso no entra en el modo selector. | |
source_image = Image.fromarray(input1) | |
print("Esto es source_image: ", source_image) | |
source_image.save(source_path) | |
#Aqu铆 trabajaremos solo el target. | |
if modo == "video": | |
#Para Video | |
target_path = input2 | |
else: | |
#Es decir si es modo imagen | |
#Para Imagenes | |
target_image = Image.fromarray(input2) | |
print("Esto es target_image: ", target_image) | |
target_image.save(target_path) | |
print("Despu茅s de los selectores de modo los paths quedaron as铆:") | |
print("source_path: ", source_path) | |
print("target_path: ", target_path) | |
command = f"python run.py -s {source_path} -t {target_path} -o {result_path} --frame-processor {procesador}" | |
print(command) | |
time.sleep(1) | |
proc = os.popen(command) | |
output = proc.read() | |
print("Output (resultado de la ejecuci贸n del c贸digo):") | |
time.sleep(2) | |
print(output) | |
print("Termin贸 la impresi贸n del output...") | |
print("Ahora estamos imprimiendo las rutas para ver si apareci贸 una nueva:") | |
files = os.listdir(path_general) | |
print("Estos son los files que hay:") | |
print(files) | |
if modo == "video": | |
#Para video | |
return path, path_foto | |
else: | |
#Para imagen | |
path = pathlib.Path("result.png") | |
print("脡ste es el path para imagen:", path) | |
return path, path | |
#As铆 para imagenes | |
# demo = gr.Interface( | |
# fn=greet, inputs=[gr.Image(), gr.Image()], outputs=[gr.Image(), gr.Image()] | |
# ) | |
#As铆 para video | |
demo = gr.Interface( | |
fn=greet, inputs=[gr.Image(), gr.Video()], outputs=[gr.Video(), gr.Image()] | |
) | |
demo.launch() |