Bot De Telegram Para Cambiar Caras En Videos Work Instant

from telegram import Update
from telegram.ext import Application, CommandHandler, MessageHandler, filters
async def swap_command(update: Update, context):
await update.message.reply_text("Send me a video first, then a face photo.")
context.user_data['state'] = 'awaiting_video'
async def handle_video(update, context):
if context.user_data.get('state') != 'awaiting_video': return
video_file = await update.message.video.get_file()
video_path = f"downloads/update.effective_user.id_video.mp4"
await video_file.download_to_drive(video_path)
context.user_data['video_path'] = video_path
context.user_data['state'] = 'awaiting_face'
await update.message.reply_text("Now send the face image.")
async def handle_photo(update, context):
if context.user_data.get('state') != 'awaiting_face': return
photo_file = await update.message.photo[-1].get_file()
face_path = f"downloads/update.effective_user.id_face.jpg"
await photo_file.download_to_drive(face_path)
# Enqueue job
job = q.enqueue(process_face_swap,
context.user_data['video_path'],
face_path,
update.effective_chat.id)
await update.message.reply_text(f"Processing... Job ID: job.id. I'll notify you when done.")
 bot de telegram para cambiar caras en videos work

| Constraint | Solution | |------------|----------| | 50MB file upload limit | Compress video to 480p, H.264, CRF 28 | | 20MB download limit (some clients) | Split video into chunks + send as document | | 5-minute processing timeout | Use async queues (Redis + Celery) | | No background tasks by default | Use python-telegram-bot’s JobQueue or webhooks + worker | from telegram import Update from telegram

Before diving into the code, it is essential to understand the engine behind the operation. A face-swapping bot relies on two distinct AI pillars:

Developers rarely write these algorithms from scratch. Instead, they leverage powerful open-source libraries such as DeepFaceLab, FaceSwap, or the highly efficient InsightFace framework, which is preferred for bots due to its speed and relatively low hardware requirements. | Constraint | Solution | |------------|----------| | 50MB

from redis import Redis
from rq import Queue
redis_conn = Redis(host='localhost', port=6379)
q = Queue('face_swap', connection=redis_conn)
def process_face_swap(video_path, face_path, chat_id):
output_path = f"outputs/uuid4().mp4"
swap_faces_in_video(video_path, face_path, output_path)
# Notify bot via a separate callback or store result in DB
return output_path

/start – Instructions & examples
/swap – Upload video + face (inline keyboard)
/status – Check processing queue position
/cancel – Stop ongoing swap