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from typing import Optional, Tuple
import gradio
import os
import tempfile
import requests
from PIL import ImageGrab, Image
from ffff import state_manager, wording
from ffff.face_store import clear_reference_faces, clear_static_faces
from ffff.filesystem import get_file_size, is_image, is_video
from ffff.uis.core import register_ui_component
from ffff.vision import get_video_frame, normalize_frame_color
from ffff.uis.typing import File
FILE_SIZE_LIMIT = 512 * 1024 * 1024
TARGET_FILE: Optional[gradio.File] = None
TARGET_IMAGE: Optional[gradio.Image] = None
TARGET_VIDEO: Optional[gradio.Video] = None
def render() -> None:
global TARGET_FILE
global TARGET_IMAGE
global TARGET_VIDEO
# Obtener si el archivo es imagen o video
is_target_image = is_image(state_manager.get_item('target_path'))
is_target_video = is_video(state_manager.get_item('target_path'))
TARGET_FILE = gradio.File(
label=wording.get('uis.target_file'),
file_count='single',
file_types=['image', 'video'],
value=state_manager.get_item('target_path') if is_target_image or is_target_video else None
)
target_image_options = {'show_label': False, 'visible': False}
target_video_options = {'show_label': False, 'visible': False}
if is_target_image:
target_image_options['value'] = TARGET_FILE.value.get('path')
target_image_options['visible'] = True
if is_target_video:
if get_file_size(state_manager.get_item('target_path')) > FILE_SIZE_LIMIT:
preview_vision_frame = normalize_frame_color(get_video_frame(state_manager.get_item('target_path')))
target_image_options['value'] = preview_vision_frame
target_image_options['visible'] = True
else:
target_video_options['value'] = TARGET_FILE.value.get('path')
target_video_options['visible'] = True
TARGET_IMAGE = gradio.Image(**target_image_options)
TARGET_VIDEO = gradio.Video(**target_video_options)
register_ui_component('target_image', TARGET_IMAGE)
register_ui_component('target_video', TARGET_VIDEO)
def listen() -> None:
TARGET_FILE.change(fn=update, inputs=TARGET_FILE, outputs=[TARGET_IMAGE, TARGET_VIDEO])
def update(file: File) -> Tuple[gradio.Image, gradio.Video]:
clear_reference_faces()
clear_static_faces()
if file and is_image(file.name):
state_manager.set_item('target_path', file.name)
return gradio.Image(value=file.name, visible=True), gradio.Video(value=None, visible=False)
if file and is_video(file.name):
state_manager.set_item('target_path', file.name)
if get_file_size(file.name) > FILE_SIZE_LIMIT:
preview_vision_frame = normalize_frame_color(get_video_frame(file.name))
return gradio.Image(value=preview_vision_frame, visible=True), gradio.Video(value=None, visible=False)
return gradio.Image(value=None, visible=False), gradio.Video(value=file.name, visible=True)
state_manager.clear_item('target_path')
return gradio.Image(value=None, visible=False), gradio.Video(value=None, visible=False)
# Funci贸n para descargar un archivo desde URL
def download_file_from_url(url: str) -> Optional[str]:
try:
response = requests.get(url, stream=True)
response.raise_for_status()
temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=os.path.splitext(url)[-1])
with open(temp_file.name, 'wb') as file:
for chunk in response.iter_content(chunk_size=8192):
file.write(chunk)
return temp_file.name
except Exception as e:
print(f"Error al descargar el archivo: {e}")
return None
# Funci贸n para manejar la entrada de URL en Target
def handle_url_input(url: str) -> Tuple[gradio.Image, gradio.Video]:
downloaded_file_path = download_file_from_url(url)
if downloaded_file_path:
state_manager.set_item('target_path', downloaded_file_path)
if is_image(downloaded_file_path):
return gradio.Image(value=downloaded_file_path, visible=True), gradio.Video(value=None, visible=False)
if is_video(downloaded_file_path):
if get_file_size(downloaded_file_path) > FILE_SIZE_LIMIT:
preview_vision_frame = normalize_frame_color(get_video_frame(downloaded_file_path))
return gradio.Image(value=preview_vision_frame, visible=True), gradio.Video(value=None, visible=False)
return gradio.Image(value=None, visible=False), gradio.Video(value=downloaded_file_path, visible=True)
return gradio.Image(value=None, visible=False), gradio.Video(value=None, visible=False)
# Funci贸n para manejar pegado desde el portapapeles en Target
def handle_paste() -> Tuple[gradio.Image, gradio.Video]:
try:
image = ImageGrab.grabclipboard()
if isinstance(image, Image.Image):
temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".png")
image.save(temp_file.name)
state_manager.set_item('target_path', temp_file.name)
return gradio.Image(value=temp_file.name, visible=True), gradio.Video(value=None, visible=False)
except Exception as e:
print(f"Error al manejar el portapapeles: {e}")
return gradio.Image(value=None, visible=False), gradio.Video(value=None, visible=False)
# Funci贸n para manejar la carga de archivos en Target
def cargar_archivo(archivo_seleccionado: str) -> Tuple[gradio.Image, gradio.Video]:
state_manager.set_item('target_path', archivo_seleccionado)
if is_image(archivo_seleccionado):
return gradio.Image(value=archivo_seleccionado, visible=True), gradio.Video(value=None, visible=False)
if is_video(archivo_seleccionado):
return gradio.Image(value=None, visible=False), gradio.Video(value=archivo_seleccionado, visible=True)
return gradio.Image(value=None, visible=False), gradio.Video(value=None, visible=False)