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Update app.py
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app.py
CHANGED
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@@ -9,20 +9,16 @@ import threading
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import subprocess
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import logging
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from datetime import datetime, timezone
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-
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import insightface
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from insightface.app import FaceAnalysis
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from huggingface_hub import hf_hub_download
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-
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from fastapi import FastAPI, UploadFile, File, HTTPException, Response, Depends, Security, Form
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from fastapi.responses import RedirectResponse
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from pydantic import BaseModel
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from motor.motor_asyncio import AsyncIOMotorClient
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import uvicorn
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import gradio as gr
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from gradio import mount_gradio_app
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-
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# DigitalOcean Spaces
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import boto3
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from botocore.client import Config
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@@ -31,40 +27,32 @@ from typing import Optional
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import requests
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import json
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from bson import ObjectId
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# --------------------- Logging ---------------------
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# --------------------- Paths -----------------------
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REPO_ID = "HariLogicgo/face_swap_models"
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BASE_DIR = "./workspace"
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MODELS_DIR = "./models"
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os.makedirs(MODELS_DIR, exist_ok=True)
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# --------------------- Secrets ---------------------
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HF_TOKEN = os.getenv("HF_TOKEN") # Hugging Face private repo token
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# Firebase credentials JSON
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FIREBASE_CREDENTIALS_PATH = os.getenv("FIREBASE_CREDENTIALS_PATH")
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# --------------------- DigitalOcean Spaces Credentials ---------------------
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DO_SPACES_REGION = os.getenv("DO_SPACES_REGION", "blr1")
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DO_SPACES_ENDPOINT = os.getenv("DO_SPACES_ENDPOINT", f"https://{DO_SPACES_REGION}.digitaloceanspaces.com")
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DO_SPACES_KEY = os.getenv("DO_SPACES_KEY")
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DO_SPACES_SECRET = os.getenv("DO_SPACES_SECRET")
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DO_SPACES_BUCKET = os.getenv("DO_SPACES_BUCKET")
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# --------------------- Firebase Auth ---------------------
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import firebase_admin
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from firebase_admin import credentials, auth
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from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
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if not firebase_admin._apps:
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FIREBASE_CREDENTIALS = os.getenv("FIREBASE_CREDENTIALS_PATH")
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if not FIREBASE_CREDENTIALS:
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raise RuntimeError("❌ FIREBASE_CREDENTIALS_PATH not set in environment variables")
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try:
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# Try parsing as JSON string
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cred_dict = json.loads(FIREBASE_CREDENTIALS)
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@@ -74,11 +62,8 @@ if not firebase_admin._apps:
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# Fallback: assume it's a file path
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cred = credentials.Certificate(FIREBASE_CREDENTIALS)
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logger.info("✅ Firebase initialized from JSON file path")
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firebase_admin.initialize_app(cred)
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security = HTTPBearer()
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def verify_firebase_token(credentials: HTTPAuthorizationCredentials = Security(security)):
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"""Verify Firebase ID token from Authorization header."""
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try:
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@@ -91,7 +76,6 @@ def verify_firebase_token(credentials: HTTPAuthorizationCredentials = Security(s
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except Exception as e:
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logger.error(f"Firebase auth failed: {e}")
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raise HTTPException(status_code=401, detail="Unauthorized: Invalid Firebase token")
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# --------------------- Download Models ---------------------
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def download_models():
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logger.info("Downloading models from private HF repo...")
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@@ -102,7 +86,6 @@ def download_models():
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local_dir=MODELS_DIR,
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token=HF_TOKEN
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)
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buffalo_files = [
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"1k3d68.onnx",
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"2d106det.onnx",
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@@ -120,18 +103,14 @@ def download_models():
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)
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logger.info("Models downloaded successfully")
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return inswapper_path
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inswapper_path = download_models()
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# --------------------- Face Analysis + Swapper ---------------------
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providers = ['CUDAExecutionProvider', 'CPUExecutionProvider']
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face_analysis_app = FaceAnalysis(name="buffalo_l", root=MODELS_DIR, providers=providers)
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face_analysis_app.prepare(ctx_id=0, det_size=(640, 640))
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swapper = insightface.model_zoo.get_model(inswapper_path, providers=providers)
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-
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# --------------------- CodeFormer ---------------------
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CODEFORMER_PATH = "CodeFormer/inference_codeformer.py"
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-
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def ensure_codeformer():
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if not os.path.exists("CodeFormer"):
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subprocess.run("git clone https://github.com/sczhou/CodeFormer.git", shell=True, check=True)
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@@ -139,30 +118,21 @@ def ensure_codeformer():
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subprocess.run("python CodeFormer/basicsr/setup.py develop", shell=True, check=True)
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subprocess.run("python CodeFormer/scripts/download_pretrained_models.py facelib", shell=True, check=True)
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subprocess.run("python CodeFormer/scripts/download_pretrained_models.py CodeFormer", shell=True, check=True)
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ensure_codeformer()
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-
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# --------------------- MongoDB ---------------------
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MONGODB_URL = os.getenv("MONGODB_URL")
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client = None
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database = None
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-
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# --------------------- Admin Panel DB (categories + media_clicks) ---------------------
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# --------------------- Admin Panel DB (categories + subcategories + media_clicks) ---------------------
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ADMIN_MONGO_URL = os.getenv("ADMIN_MONGO_URL")
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admin_client = AsyncIOMotorClient(ADMIN_MONGO_URL)
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admin_db = admin_client.adminPanel
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# Collections
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categories_col = admin_db.categories
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subcategories_col = admin_db.subcategories
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media_clicks_col = admin_db.media_clicks
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users_col = admin_db.users # optional, only if needed
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# --------------------- FastAPI ---------------------
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fastapi_app = FastAPI()
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@fastapi_app.on_event("startup")
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async def startup_db():
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global client, database
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client = AsyncIOMotorClient(MONGODB_URL)
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database = client.FaceSwap
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logger.info("MongoDB initialized for API logs")
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-
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@fastapi_app.on_event("shutdown")
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async def shutdown_db():
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global client
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if client:
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client.close()
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logger.info("MongoDB connection closed")
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-
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# --------------------- Logging API Hits ---------------------
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async def log_faceswap_hit(user_email: str, status: str, start_time: datetime, end_time: datetime):
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global database
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if database is None:
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return
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-
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response_time_ms = (end_time - start_time).total_seconds() * 1000
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await database.api_logs.insert_one({
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"user": user_email,
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"endpoint": "/face-swap",
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@@ -195,73 +161,109 @@ async def log_faceswap_hit(user_email: str, status: str, start_time: datetime, e
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"response_time_ms": response_time_ms
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})
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# --------------------- Face Swap Pipeline ---------------------
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swap_lock = threading.Lock()
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-
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def face_swap_and_enhance(src_img, tgt_img, temp_dir="/tmp/faceswap_work"):
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try:
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with swap_lock:
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if os.path.exists(temp_dir):
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shutil.rmtree(temp_dir)
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os.makedirs(temp_dir, exist_ok=True)
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-
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src_bgr = cv2.cvtColor(src_img, cv2.COLOR_RGB2BGR)
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tgt_bgr_full = cv2.cvtColor(tgt_img, cv2.COLOR_RGB2BGR)
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-
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src_faces = face_analysis_app.get(src_bgr)
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tgt_faces = face_analysis_app.get(tgt_bgr_full)
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-
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if not src_faces or not tgt_faces:
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return None, None, "❌ Face not detected in source or target image"
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-
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src_face0 = src_faces[0]
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tgt_face0 = tgt_faces[0]
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-
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swapped_bgr_full = swapper.get(tgt_bgr_full, tgt_face0, src_face0)
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if swapped_bgr_full is None:
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return None, None, "❌ Face swap failed"
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-
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swapped_path = os.path.join(temp_dir, f"swapped_{uuid.uuid4().hex[:8]}.jpg")
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cv2.imwrite(swapped_path, swapped_bgr_full)
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-
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cmd = f"python {CODEFORMER_PATH} -w 0.7 --input_path {swapped_path} --output_path {temp_dir} --bg_upsampler realesrgan --face_upsample"
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result = subprocess.run(cmd, shell=True, capture_output=True, text=True)
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if result.returncode != 0:
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return None, None, f"❌ CodeFormer failed:\n{result.stderr}"
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-
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final_results_dir = os.path.join(temp_dir, "final_results")
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final_files = [f for f in os.listdir(final_results_dir) if f.endswith(".png")]
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if not final_files:
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return None, None, "❌ No enhanced image found"
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-
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final_path = os.path.join(final_results_dir, final_files[0])
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final_img = cv2.cvtColor(cv2.imread(final_path), cv2.COLOR_BGR2RGB)
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return final_img, final_path, ""
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except Exception as e:
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return None, None, f"❌ Error: {str(e)}"
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# --------------------- Gradio ---------------------
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with gr.Blocks() as demo:
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gr.Markdown("Face Swap")
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with gr.Row():
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src_input = gr.Image(type="numpy", label="Upload Your Face")
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tgt_input = gr.Image(type="numpy", label="Upload Target Image")
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btn = gr.Button("Swap Face")
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output_img = gr.Image(type="numpy", label="Enhanced Output")
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download = gr.File(label="⬇️ Download Enhanced Image")
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error_box = gr.Textbox(label="Logs / Errors", interactive=False)
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-
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def process(src, tgt):
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img, path, err = face_swap_and_enhance(src, tgt)
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return img, path, err
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btn.click(process, [src_input, tgt_input], [output_img, download, error_box])
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-
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# --------------------- DigitalOcean Spaces Helper ---------------------
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def get_spaces_client():
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session = boto3.session.Session()
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config=Config(signature_version='s3v4')
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)
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return client
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def upload_to_spaces(file_bytes, key, content_type="image/png"):
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client = get_spaces_client()
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client.put_object(Bucket=DO_SPACES_BUCKET, Key=key, Body=file_bytes, ContentType=content_type, ACL='public-read')
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return f"{DO_SPACES_ENDPOINT}/{DO_SPACES_BUCKET}/{key}"
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def download_from_spaces(key):
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client = get_spaces_client()
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obj = client.get_object(Bucket=DO_SPACES_BUCKET, Key=key)
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return obj['Body'].read()
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-
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# --------------------- API Endpoints ---------------------
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@fastapi_app.get("/")
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def root():
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return RedirectResponse("/gradio")
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@fastapi_app.get("/health")
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async def health():
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return {"status": "healthy"}
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@fastapi_app.post("/face-swap")
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async def face_swap_api(
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source: UploadFile = File(...),
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target_category_id: str = Form(
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category_id: Optional[str] = Form(None),
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user_id: Optional[str] = Form(None),
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new_subcategory_id: Optional[str] = Form(None),
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user_email: str = Depends(verify_firebase_token)
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):
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start_time = datetime.now(timezone.utc)
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-
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try:
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# ---------------------------------------------------------
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# NORMALIZE EMPTY STRINGS (Android older versions)
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# ---------------------------------------------------------
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if target_category_id == "":
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if
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if category_id == "":
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category_id = None
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if user_id == "":
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user_id = None
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# ---------------------------------------------------------
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# STRICT XOR VALIDATION
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# ---------------------------------------------------------
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raise HTTPException(
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status_code=400,
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detail="Provide ONLY ONE of: target_category_id OR new_subcategory_id"
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)
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if not target_category_id and not new_subcategory_id:
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raise HTTPException(
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status_code=400,
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detail="Either target_category_id OR new_subcategory_id is required"
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upload_to_spaces(src_bytes, src_key, content_type=source.content_type)
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# ---------------------------------------------------------
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#
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# ---------------------------------------------------------
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target_filename = f"{target_category_id}.png"
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target_url = (
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f"https://{DO_SPACES_BUCKET}.{DO_SPACES_REGION}."
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f"digitaloceanspaces.com/bikini-theme/target/{target_filename}"
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)
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resp = requests.get(target_url)
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if resp.status_code != 200:
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await log_faceswap_hit(user_email, "error", start_time, datetime.now(timezone.utc))
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raise HTTPException(status_code=404, detail=f"Target image not found: {target_url}")
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tgt_bytes = resp.content
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# ---------------------------------------------------------
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# CASE 2 — New behavior (use subcategory asset image)
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)
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if not
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await log_faceswap_hit(user_email, "error", start_time, datetime.now(timezone.utc))
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raise HTTPException(
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status_code=404,
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detail="Subcategory asset
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)
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resp = requests.get(asset_url)
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if resp.status_code != 200:
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raise HTTPException(
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status_code=404,
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detail=f"Failed to download asset image: {asset_url}"
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)
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tgt_bytes = resp.content
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# ---------------------------------------------------------
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# DECODE
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# ---------------------------------------------------------
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src_array = np.frombuffer(src_bytes, np.uint8)
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tgt_array = np.frombuffer(tgt_bytes, np.uint8)
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src_bgr = cv2.imdecode(src_array, cv2.IMREAD_COLOR)
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tgt_bgr = cv2.imdecode(tgt_array, cv2.IMREAD_COLOR)
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await log_faceswap_hit(user_email, "error", start_time, datetime.now(timezone.utc))
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raise HTTPException(status_code=400, detail="Invalid image data")
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src_rgb = cv2.cvtColor(src_bgr, cv2.COLOR_BGR2RGB)
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tgt_rgb = cv2.cvtColor(tgt_bgr, cv2.COLOR_BGR2RGB)
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# Save final output to DO Spaces
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with open(final_path, "rb") as f:
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result_bytes = f.read()
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-
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result_key = f"bikini-theme/result/{uuid.uuid4().hex}_enhanced.png"
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result_url = upload_to_spaces(result_bytes, result_key, "image/png")
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-
await log_faceswap_hit(user_email, "success", start_time, datetime.now(timezone.utc))
|
| 424 |
-
|
| 425 |
# ---------------------------------------------------------
|
| 426 |
# SUCCESS RESPONSE
|
| 427 |
# ---------------------------------------------------------
|
|
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|
| 428 |
return {
|
| 429 |
"result_url": result_url,
|
| 430 |
-
"category_id": category_id,
|
| 431 |
"user_id": user_id,
|
| 432 |
"new_subcategory_id": new_subcategory_id
|
| 433 |
}
|
| 434 |
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| 435 |
except Exception as e:
|
| 436 |
-
|
| 437 |
-
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-
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|
| 441 |
# @fastapi_app.post("/face-swap")
|
| 442 |
# async def face_swap_api(
|
| 443 |
# source: UploadFile = File(...),
|
| 444 |
-
# target_category_id: str = Form(...),
|
|
|
|
|
|
|
|
|
|
| 445 |
# user_email: str = Depends(verify_firebase_token)
|
| 446 |
# ):
|
| 447 |
-
# # start_time = datetime.utcnow()
|
| 448 |
# start_time = datetime.now(timezone.utc)
|
|
|
|
| 449 |
# try:
|
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|
|
| 450 |
# src_bytes = await source.read()
|
| 451 |
# src_key = f"bikini-theme/source/{uuid.uuid4().hex}_{source.filename}"
|
| 452 |
# upload_to_spaces(src_bytes, src_key, content_type=source.content_type)
|
| 453 |
|
| 454 |
-
#
|
| 455 |
-
#
|
| 456 |
-
|
| 457 |
-
#
|
| 458 |
-
#
|
| 459 |
-
#
|
| 460 |
-
#
|
| 461 |
-
#
|
| 462 |
-
#
|
| 463 |
-
|
| 464 |
-
#
|
| 465 |
-
|
|
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|
|
| 466 |
# src_array = np.frombuffer(src_bytes, np.uint8)
|
| 467 |
# tgt_array = np.frombuffer(tgt_bytes, np.uint8)
|
|
|
|
| 468 |
# src_bgr = cv2.imdecode(src_array, cv2.IMREAD_COLOR)
|
| 469 |
# tgt_bgr = cv2.imdecode(tgt_array, cv2.IMREAD_COLOR)
|
| 470 |
|
| 471 |
# if src_bgr is None or tgt_bgr is None:
|
| 472 |
-
#
|
| 473 |
-
# end_time = datetime.now(timezone.utc)
|
| 474 |
-
|
| 475 |
-
# await log_faceswap_hit(user_email, status="error", start_time=start_time, end_time=end_time)
|
| 476 |
# raise HTTPException(status_code=400, detail="Invalid image data")
|
| 477 |
|
| 478 |
# src_rgb = cv2.cvtColor(src_bgr, cv2.COLOR_BGR2RGB)
|
| 479 |
# tgt_rgb = cv2.cvtColor(tgt_bgr, cv2.COLOR_BGR2RGB)
|
| 480 |
|
|
|
|
|
|
|
|
|
|
| 481 |
# final_img, final_path, err = face_swap_and_enhance(src_rgb, tgt_rgb)
|
| 482 |
# if err:
|
| 483 |
-
#
|
| 484 |
-
# await log_faceswap_hit(user_email, status="error", start_time=start_time, end_time=end_time)
|
| 485 |
# raise HTTPException(status_code=500, detail=err)
|
| 486 |
|
|
|
|
| 487 |
# with open(final_path, "rb") as f:
|
| 488 |
# result_bytes = f.read()
|
|
|
|
| 489 |
# result_key = f"bikini-theme/result/{uuid.uuid4().hex}_enhanced.png"
|
| 490 |
-
# result_url = upload_to_spaces(result_bytes, result_key,
|
| 491 |
|
| 492 |
-
#
|
| 493 |
-
# end_time = datetime.now(timezone.utc)
|
| 494 |
-
# await log_faceswap_hit(user_email, status="success", start_time=start_time, end_time=end_time)
|
| 495 |
|
| 496 |
-
#
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 497 |
|
| 498 |
# except Exception as e:
|
| 499 |
-
#
|
| 500 |
-
# end_time = datetime.now(timezone.utc)
|
| 501 |
-
|
| 502 |
-
# # Ensure we log the error with timestamps before raising
|
| 503 |
-
# try:
|
| 504 |
-
# await log_faceswap_hit(user_email, status="error", start_time=start_time, end_time=end_time)
|
| 505 |
-
# except Exception as log_exc:
|
| 506 |
-
# logger.error("Failed to write log_faceswap_hit: %s", log_exc)
|
| 507 |
# raise HTTPException(status_code=500, detail=f"Face swap failed: {str(e)}")
|
| 508 |
|
| 509 |
|
| 510 |
-
|
| 511 |
-
|
| 512 |
-
|
| 513 |
-
|
| 514 |
-
|
| 515 |
-
|
| 516 |
-
|
| 517 |
-
|
| 518 |
-
|
| 519 |
-
|
| 520 |
-
|
| 521 |
-
|
| 522 |
-
#
|
| 523 |
-
|
| 524 |
-
|
| 525 |
-
|
| 526 |
-
|
|
|
|
|
|
|
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|
| 9 |
import subprocess
|
| 10 |
import logging
|
| 11 |
from datetime import datetime, timezone
|
|
|
|
| 12 |
import insightface
|
| 13 |
from insightface.app import FaceAnalysis
|
| 14 |
from huggingface_hub import hf_hub_download
|
|
|
|
| 15 |
from fastapi import FastAPI, UploadFile, File, HTTPException, Response, Depends, Security, Form
|
| 16 |
from fastapi.responses import RedirectResponse
|
| 17 |
from pydantic import BaseModel
|
| 18 |
from motor.motor_asyncio import AsyncIOMotorClient
|
|
|
|
| 19 |
import uvicorn
|
| 20 |
import gradio as gr
|
| 21 |
from gradio import mount_gradio_app
|
|
|
|
| 22 |
# DigitalOcean Spaces
|
| 23 |
import boto3
|
| 24 |
from botocore.client import Config
|
|
|
|
| 27 |
import requests
|
| 28 |
import json
|
| 29 |
from bson import ObjectId
|
|
|
|
| 30 |
# --------------------- Logging ---------------------
|
| 31 |
logging.basicConfig(level=logging.INFO)
|
| 32 |
logger = logging.getLogger(__name__)
|
|
|
|
| 33 |
# --------------------- Paths -----------------------
|
| 34 |
REPO_ID = "HariLogicgo/face_swap_models"
|
| 35 |
BASE_DIR = "./workspace"
|
| 36 |
MODELS_DIR = "./models"
|
|
|
|
| 37 |
os.makedirs(MODELS_DIR, exist_ok=True)
|
|
|
|
| 38 |
# --------------------- Secrets ---------------------
|
| 39 |
HF_TOKEN = os.getenv("HF_TOKEN") # Hugging Face private repo token
|
| 40 |
# Firebase credentials JSON
|
| 41 |
FIREBASE_CREDENTIALS_PATH = os.getenv("FIREBASE_CREDENTIALS_PATH")
|
|
|
|
| 42 |
# --------------------- DigitalOcean Spaces Credentials ---------------------
|
| 43 |
DO_SPACES_REGION = os.getenv("DO_SPACES_REGION", "blr1")
|
| 44 |
DO_SPACES_ENDPOINT = os.getenv("DO_SPACES_ENDPOINT", f"https://{DO_SPACES_REGION}.digitaloceanspaces.com")
|
| 45 |
DO_SPACES_KEY = os.getenv("DO_SPACES_KEY")
|
| 46 |
DO_SPACES_SECRET = os.getenv("DO_SPACES_SECRET")
|
| 47 |
DO_SPACES_BUCKET = os.getenv("DO_SPACES_BUCKET")
|
|
|
|
| 48 |
# --------------------- Firebase Auth ---------------------
|
| 49 |
import firebase_admin
|
| 50 |
from firebase_admin import credentials, auth
|
| 51 |
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
|
|
|
|
| 52 |
if not firebase_admin._apps:
|
| 53 |
FIREBASE_CREDENTIALS = os.getenv("FIREBASE_CREDENTIALS_PATH")
|
| 54 |
if not FIREBASE_CREDENTIALS:
|
| 55 |
raise RuntimeError("❌ FIREBASE_CREDENTIALS_PATH not set in environment variables")
|
|
|
|
| 56 |
try:
|
| 57 |
# Try parsing as JSON string
|
| 58 |
cred_dict = json.loads(FIREBASE_CREDENTIALS)
|
|
|
|
| 62 |
# Fallback: assume it's a file path
|
| 63 |
cred = credentials.Certificate(FIREBASE_CREDENTIALS)
|
| 64 |
logger.info("✅ Firebase initialized from JSON file path")
|
|
|
|
| 65 |
firebase_admin.initialize_app(cred)
|
|
|
|
| 66 |
security = HTTPBearer()
|
|
|
|
| 67 |
def verify_firebase_token(credentials: HTTPAuthorizationCredentials = Security(security)):
|
| 68 |
"""Verify Firebase ID token from Authorization header."""
|
| 69 |
try:
|
|
|
|
| 76 |
except Exception as e:
|
| 77 |
logger.error(f"Firebase auth failed: {e}")
|
| 78 |
raise HTTPException(status_code=401, detail="Unauthorized: Invalid Firebase token")
|
|
|
|
| 79 |
# --------------------- Download Models ---------------------
|
| 80 |
def download_models():
|
| 81 |
logger.info("Downloading models from private HF repo...")
|
|
|
|
| 86 |
local_dir=MODELS_DIR,
|
| 87 |
token=HF_TOKEN
|
| 88 |
)
|
|
|
|
| 89 |
buffalo_files = [
|
| 90 |
"1k3d68.onnx",
|
| 91 |
"2d106det.onnx",
|
|
|
|
| 103 |
)
|
| 104 |
logger.info("Models downloaded successfully")
|
| 105 |
return inswapper_path
|
|
|
|
| 106 |
inswapper_path = download_models()
|
|
|
|
| 107 |
# --------------------- Face Analysis + Swapper ---------------------
|
| 108 |
providers = ['CUDAExecutionProvider', 'CPUExecutionProvider']
|
| 109 |
face_analysis_app = FaceAnalysis(name="buffalo_l", root=MODELS_DIR, providers=providers)
|
| 110 |
face_analysis_app.prepare(ctx_id=0, det_size=(640, 640))
|
| 111 |
swapper = insightface.model_zoo.get_model(inswapper_path, providers=providers)
|
|
|
|
| 112 |
# --------------------- CodeFormer ---------------------
|
| 113 |
CODEFORMER_PATH = "CodeFormer/inference_codeformer.py"
|
|
|
|
| 114 |
def ensure_codeformer():
|
| 115 |
if not os.path.exists("CodeFormer"):
|
| 116 |
subprocess.run("git clone https://github.com/sczhou/CodeFormer.git", shell=True, check=True)
|
|
|
|
| 118 |
subprocess.run("python CodeFormer/basicsr/setup.py develop", shell=True, check=True)
|
| 119 |
subprocess.run("python CodeFormer/scripts/download_pretrained_models.py facelib", shell=True, check=True)
|
| 120 |
subprocess.run("python CodeFormer/scripts/download_pretrained_models.py CodeFormer", shell=True, check=True)
|
|
|
|
| 121 |
ensure_codeformer()
|
|
|
|
| 122 |
# --------------------- MongoDB ---------------------
|
| 123 |
MONGODB_URL = os.getenv("MONGODB_URL")
|
|
|
|
| 124 |
client = None
|
| 125 |
database = None
|
|
|
|
|
|
|
| 126 |
# --------------------- Admin Panel DB (categories + subcategories + media_clicks) ---------------------
|
| 127 |
ADMIN_MONGO_URL = os.getenv("ADMIN_MONGO_URL")
|
| 128 |
admin_client = AsyncIOMotorClient(ADMIN_MONGO_URL)
|
| 129 |
admin_db = admin_client.adminPanel
|
|
|
|
| 130 |
# Collections
|
| 131 |
categories_col = admin_db.categories
|
| 132 |
subcategories_col = admin_db.subcategories
|
| 133 |
media_clicks_col = admin_db.media_clicks
|
|
|
|
|
|
|
| 134 |
# --------------------- FastAPI ---------------------
|
| 135 |
fastapi_app = FastAPI()
|
|
|
|
| 136 |
@fastapi_app.on_event("startup")
|
| 137 |
async def startup_db():
|
| 138 |
global client, database
|
|
|
|
| 140 |
client = AsyncIOMotorClient(MONGODB_URL)
|
| 141 |
database = client.FaceSwap
|
| 142 |
logger.info("MongoDB initialized for API logs")
|
|
|
|
| 143 |
@fastapi_app.on_event("shutdown")
|
| 144 |
async def shutdown_db():
|
| 145 |
global client
|
| 146 |
if client:
|
| 147 |
client.close()
|
| 148 |
logger.info("MongoDB connection closed")
|
|
|
|
| 149 |
# --------------------- Logging API Hits ---------------------
|
| 150 |
async def log_faceswap_hit(user_email: str, status: str, start_time: datetime, end_time: datetime):
|
| 151 |
global database
|
| 152 |
if database is None:
|
| 153 |
return
|
|
|
|
| 154 |
response_time_ms = (end_time - start_time).total_seconds() * 1000
|
|
|
|
| 155 |
await database.api_logs.insert_one({
|
| 156 |
"user": user_email,
|
| 157 |
"endpoint": "/face-swap",
|
|
|
|
| 161 |
"response_time_ms": response_time_ms
|
| 162 |
})
|
| 163 |
|
| 164 |
+
# --------------------- Media Click Logging Helper ---------------------
|
| 165 |
+
async def log_media_click(user_id: str, category_oid_str: str):
|
| 166 |
+
"""
|
| 167 |
+
Logs a click event to the media_clicks collection against the Category.
|
| 168 |
+
"""
|
| 169 |
+
try:
|
| 170 |
+
user_oid = ObjectId(user_id.strip())
|
| 171 |
+
category_oid = ObjectId(category_oid_str.strip())
|
| 172 |
+
now = datetime.utcnow()
|
| 173 |
+
|
| 174 |
+
# Check if category exists (optional, but prevents logging invalid IDs)
|
| 175 |
+
if not await categories_col.find_one({"_id": category_oid}):
|
| 176 |
+
logger.warning(f"Category ID {category_oid_str} not found. Skipping click logging.")
|
| 177 |
+
return
|
| 178 |
+
|
| 179 |
+
# 1) Try updating existing category click entry
|
| 180 |
+
update_result = await media_clicks_col.update_one(
|
| 181 |
+
{
|
| 182 |
+
"userId": user_oid,
|
| 183 |
+
"categories.categoryId": category_oid
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"$set": {
|
| 187 |
+
"updatedAt": now,
|
| 188 |
+
"categories.$.lastClickedAt": now
|
| 189 |
+
},
|
| 190 |
+
"$inc": {
|
| 191 |
+
"categories.$.click_count": 1
|
| 192 |
+
}
|
| 193 |
+
}
|
| 194 |
+
)
|
| 195 |
+
|
| 196 |
+
# 2) If no category entry exists → push new one (or create doc)
|
| 197 |
+
if update_result.matched_count == 0:
|
| 198 |
+
await media_clicks_col.update_one(
|
| 199 |
+
{ "userId": user_oid },
|
| 200 |
+
{
|
| 201 |
+
"$setOnInsert": { "createdAt": now },
|
| 202 |
+
"$set": { "updatedAt": now },
|
| 203 |
+
"$push": {
|
| 204 |
+
"categories": {
|
| 205 |
+
"categoryId": category_oid,
|
| 206 |
+
"click_count": 1,
|
| 207 |
+
"lastClickedAt": now
|
| 208 |
+
}
|
| 209 |
+
}
|
| 210 |
+
},
|
| 211 |
+
upsert=True
|
| 212 |
+
)
|
| 213 |
+
|
| 214 |
+
logger.info(f"Media click logged for User {user_id} on Category {category_oid_str}")
|
| 215 |
+
|
| 216 |
+
except Exception as media_err:
|
| 217 |
+
logger.error(f"MEDIA_CLICK LOGGING ERROR: {media_err}")
|
| 218 |
|
| 219 |
# --------------------- Face Swap Pipeline ---------------------
|
| 220 |
swap_lock = threading.Lock()
|
|
|
|
| 221 |
def face_swap_and_enhance(src_img, tgt_img, temp_dir="/tmp/faceswap_work"):
|
| 222 |
try:
|
| 223 |
with swap_lock:
|
| 224 |
if os.path.exists(temp_dir):
|
| 225 |
shutil.rmtree(temp_dir)
|
| 226 |
os.makedirs(temp_dir, exist_ok=True)
|
|
|
|
| 227 |
src_bgr = cv2.cvtColor(src_img, cv2.COLOR_RGB2BGR)
|
| 228 |
tgt_bgr_full = cv2.cvtColor(tgt_img, cv2.COLOR_RGB2BGR)
|
|
|
|
| 229 |
src_faces = face_analysis_app.get(src_bgr)
|
| 230 |
tgt_faces = face_analysis_app.get(tgt_bgr_full)
|
|
|
|
| 231 |
if not src_faces or not tgt_faces:
|
| 232 |
return None, None, "❌ Face not detected in source or target image"
|
|
|
|
| 233 |
src_face0 = src_faces[0]
|
| 234 |
tgt_face0 = tgt_faces[0]
|
|
|
|
| 235 |
swapped_bgr_full = swapper.get(tgt_bgr_full, tgt_face0, src_face0)
|
| 236 |
if swapped_bgr_full is None:
|
| 237 |
return None, None, "❌ Face swap failed"
|
|
|
|
| 238 |
swapped_path = os.path.join(temp_dir, f"swapped_{uuid.uuid4().hex[:8]}.jpg")
|
| 239 |
cv2.imwrite(swapped_path, swapped_bgr_full)
|
|
|
|
| 240 |
cmd = f"python {CODEFORMER_PATH} -w 0.7 --input_path {swapped_path} --output_path {temp_dir} --bg_upsampler realesrgan --face_upsample"
|
| 241 |
result = subprocess.run(cmd, shell=True, capture_output=True, text=True)
|
| 242 |
if result.returncode != 0:
|
| 243 |
return None, None, f"❌ CodeFormer failed:\n{result.stderr}"
|
|
|
|
| 244 |
final_results_dir = os.path.join(temp_dir, "final_results")
|
| 245 |
final_files = [f for f in os.listdir(final_results_dir) if f.endswith(".png")]
|
| 246 |
if not final_files:
|
| 247 |
return None, None, "❌ No enhanced image found"
|
|
|
|
| 248 |
final_path = os.path.join(final_results_dir, final_files[0])
|
| 249 |
final_img = cv2.cvtColor(cv2.imread(final_path), cv2.COLOR_BGR2RGB)
|
|
|
|
| 250 |
return final_img, final_path, ""
|
|
|
|
| 251 |
except Exception as e:
|
| 252 |
return None, None, f"❌ Error: {str(e)}"
|
|
|
|
| 253 |
# --------------------- Gradio ---------------------
|
| 254 |
with gr.Blocks() as demo:
|
| 255 |
gr.Markdown("Face Swap")
|
|
|
|
| 256 |
with gr.Row():
|
| 257 |
src_input = gr.Image(type="numpy", label="Upload Your Face")
|
| 258 |
tgt_input = gr.Image(type="numpy", label="Upload Target Image")
|
|
|
|
| 259 |
btn = gr.Button("Swap Face")
|
| 260 |
output_img = gr.Image(type="numpy", label="Enhanced Output")
|
| 261 |
download = gr.File(label="⬇️ Download Enhanced Image")
|
| 262 |
error_box = gr.Textbox(label="Logs / Errors", interactive=False)
|
|
|
|
| 263 |
def process(src, tgt):
|
| 264 |
img, path, err = face_swap_and_enhance(src, tgt)
|
| 265 |
return img, path, err
|
|
|
|
| 266 |
btn.click(process, [src_input, tgt_input], [output_img, download, error_box])
|
|
|
|
| 267 |
# --------------------- DigitalOcean Spaces Helper ---------------------
|
| 268 |
def get_spaces_client():
|
| 269 |
session = boto3.session.Session()
|
|
|
|
| 276 |
config=Config(signature_version='s3v4')
|
| 277 |
)
|
| 278 |
return client
|
|
|
|
| 279 |
def upload_to_spaces(file_bytes, key, content_type="image/png"):
|
| 280 |
client = get_spaces_client()
|
| 281 |
client.put_object(Bucket=DO_SPACES_BUCKET, Key=key, Body=file_bytes, ContentType=content_type, ACL='public-read')
|
| 282 |
return f"{DO_SPACES_ENDPOINT}/{DO_SPACES_BUCKET}/{key}"
|
|
|
|
| 283 |
def download_from_spaces(key):
|
| 284 |
client = get_spaces_client()
|
| 285 |
obj = client.get_object(Bucket=DO_SPACES_BUCKET, Key=key)
|
| 286 |
return obj['Body'].read()
|
|
|
|
| 287 |
# --------------------- API Endpoints ---------------------
|
| 288 |
@fastapi_app.get("/")
|
| 289 |
def root():
|
| 290 |
return RedirectResponse("/gradio")
|
|
|
|
| 291 |
@fastapi_app.get("/health")
|
| 292 |
async def health():
|
| 293 |
return {"status": "healthy"}
|
|
|
|
| 295 |
@fastapi_app.post("/face-swap")
|
| 296 |
async def face_swap_api(
|
| 297 |
source: UploadFile = File(...),
|
| 298 |
+
target_category_id: Optional[str] = Form(None), # <--- NOW OPTIONAL
|
| 299 |
category_id: Optional[str] = Form(None),
|
| 300 |
user_id: Optional[str] = Form(None),
|
| 301 |
new_subcategory_id: Optional[str] = Form(None),
|
| 302 |
user_email: str = Depends(verify_firebase_token)
|
| 303 |
):
|
| 304 |
start_time = datetime.now(timezone.utc)
|
| 305 |
+
target_url = None
|
| 306 |
+
|
| 307 |
try:
|
| 308 |
# ---------------------------------------------------------
|
| 309 |
# NORMALIZE EMPTY STRINGS (Android older versions)
|
| 310 |
# ---------------------------------------------------------
|
| 311 |
+
if target_category_id == "": target_category_id = None
|
| 312 |
+
if new_subcategory_id == "": new_subcategory_id = None
|
| 313 |
+
if category_id == "": category_id = None
|
| 314 |
+
if user_id == "": user_id = None
|
| 315 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 316 |
# ---------------------------------------------------------
|
| 317 |
# STRICT XOR VALIDATION
|
| 318 |
# ---------------------------------------------------------
|
| 319 |
+
target_provided = target_category_id is not None
|
| 320 |
+
new_sub_provided = new_subcategory_id is not None
|
| 321 |
+
|
| 322 |
+
if target_provided and new_sub_provided:
|
| 323 |
raise HTTPException(
|
| 324 |
status_code=400,
|
| 325 |
detail="Provide ONLY ONE of: target_category_id OR new_subcategory_id"
|
| 326 |
)
|
| 327 |
+
if not target_provided and not new_sub_provided:
|
|
|
|
| 328 |
raise HTTPException(
|
| 329 |
status_code=400,
|
| 330 |
detail="Either target_category_id OR new_subcategory_id is required"
|
|
|
|
| 338 |
upload_to_spaces(src_bytes, src_key, content_type=source.content_type)
|
| 339 |
|
| 340 |
# ---------------------------------------------------------
|
| 341 |
+
# TARGET IMAGE RETRIEVAL & LOGGING
|
| 342 |
# ---------------------------------------------------------
|
| 343 |
+
|
| 344 |
+
# CASE 1 — Old behavior (use DO Spaces target image)
|
| 345 |
+
if target_provided:
|
| 346 |
target_filename = f"{target_category_id}.png"
|
| 347 |
target_url = (
|
| 348 |
f"https://{DO_SPACES_BUCKET}.{DO_SPACES_REGION}."
|
| 349 |
f"digitaloceanspaces.com/bikini-theme/target/{target_filename}"
|
| 350 |
)
|
| 351 |
+
|
| 352 |
+
# Log click for old system (if user_id and category_id are passed)
|
| 353 |
+
if user_id and category_id:
|
| 354 |
+
await log_media_click(user_id, category_id)
|
| 355 |
+
|
| 356 |
resp = requests.get(target_url)
|
| 357 |
if resp.status_code != 200:
|
| 358 |
await log_faceswap_hit(user_email, "error", start_time, datetime.now(timezone.utc))
|
| 359 |
raise HTTPException(status_code=404, detail=f"Target image not found: {target_url}")
|
|
|
|
| 360 |
tgt_bytes = resp.content
|
| 361 |
|
|
|
|
| 362 |
# CASE 2 — New behavior (use subcategory asset image)
|
| 363 |
+
elif new_sub_provided:
|
| 364 |
+
|
| 365 |
+
try:
|
| 366 |
+
asset_oid = ObjectId(new_subcategory_id)
|
| 367 |
+
except:
|
| 368 |
+
raise HTTPException(400, "Invalid new_subcategory_id format.")
|
| 369 |
+
|
| 370 |
+
# 1. Find subcategory asset by asset_images._id
|
| 371 |
+
subcat_doc = await subcategories_col.find_one(
|
| 372 |
+
{"asset_images._id": asset_oid},
|
| 373 |
+
{"asset_images.$": 1, "categoryId": 1} # Need categoryId for logging
|
| 374 |
)
|
| 375 |
|
| 376 |
+
if not subcat_doc or "asset_images" not in subcat_doc or not subcat_doc.get("categoryId"):
|
| 377 |
await log_faceswap_hit(user_email, "error", start_time, datetime.now(timezone.utc))
|
| 378 |
raise HTTPException(
|
| 379 |
status_code=404,
|
| 380 |
+
detail="Subcategory asset or parent category ID not found in DB."
|
| 381 |
)
|
| 382 |
+
|
| 383 |
+
asset_url = subcat_doc["asset_images"][0]["url"]
|
| 384 |
+
target_url = asset_url
|
| 385 |
+
parent_category_id = str(subcat_doc["categoryId"]) # Category ID for logging
|
| 386 |
+
|
| 387 |
+
# Log click for new system (uses parent category ID from the subcategory doc)
|
| 388 |
+
if user_id:
|
| 389 |
+
await log_media_click(user_id, parent_category_id)
|
| 390 |
+
|
| 391 |
+
# 2. Download target image
|
| 392 |
resp = requests.get(asset_url)
|
| 393 |
if resp.status_code != 200:
|
| 394 |
+
await log_faceswap_hit(user_email, "error", start_time, datetime.now(timezone.utc))
|
| 395 |
raise HTTPException(
|
| 396 |
status_code=404,
|
| 397 |
detail=f"Failed to download asset image: {asset_url}"
|
| 398 |
)
|
|
|
|
| 399 |
tgt_bytes = resp.content
|
| 400 |
|
| 401 |
# ---------------------------------------------------------
|
| 402 |
+
# DECODE & FACE SWAP (The rest of the logic remains the same)
|
| 403 |
# ---------------------------------------------------------
|
| 404 |
src_array = np.frombuffer(src_bytes, np.uint8)
|
| 405 |
tgt_array = np.frombuffer(tgt_bytes, np.uint8)
|
|
|
|
| 406 |
src_bgr = cv2.imdecode(src_array, cv2.IMREAD_COLOR)
|
| 407 |
tgt_bgr = cv2.imdecode(tgt_array, cv2.IMREAD_COLOR)
|
| 408 |
|
|
|
|
| 410 |
await log_faceswap_hit(user_email, "error", start_time, datetime.now(timezone.utc))
|
| 411 |
raise HTTPException(status_code=400, detail="Invalid image data")
|
| 412 |
|
| 413 |
+
# Convert to RGB for processing
|
| 414 |
src_rgb = cv2.cvtColor(src_bgr, cv2.COLOR_BGR2RGB)
|
| 415 |
tgt_rgb = cv2.cvtColor(tgt_bgr, cv2.COLOR_BGR2RGB)
|
| 416 |
|
|
|
|
| 425 |
# Save final output to DO Spaces
|
| 426 |
with open(final_path, "rb") as f:
|
| 427 |
result_bytes = f.read()
|
|
|
|
| 428 |
result_key = f"bikini-theme/result/{uuid.uuid4().hex}_enhanced.png"
|
| 429 |
result_url = upload_to_spaces(result_bytes, result_key, "image/png")
|
| 430 |
+
|
|
|
|
|
|
|
| 431 |
# ---------------------------------------------------------
|
| 432 |
# SUCCESS RESPONSE
|
| 433 |
# ---------------------------------------------------------
|
| 434 |
+
await log_faceswap_hit(user_email, "success", start_time, datetime.now(timezone.utc))
|
| 435 |
+
|
| 436 |
return {
|
| 437 |
"result_url": result_url,
|
| 438 |
+
"category_id": category_id,
|
| 439 |
"user_id": user_id,
|
| 440 |
"new_subcategory_id": new_subcategory_id
|
| 441 |
}
|
| 442 |
|
| 443 |
+
except HTTPException:
|
| 444 |
+
raise
|
| 445 |
+
|
| 446 |
except Exception as e:
|
| 447 |
+
end_time = datetime.now(timezone.utc)
|
| 448 |
+
try:
|
| 449 |
+
await log_faceswap_hit(user_email, "error", start_time, end_time)
|
| 450 |
+
except Exception as log_exc:
|
| 451 |
+
logger.error("Failed to write log_faceswap_hit: %s", log_exc)
|
| 452 |
+
|
| 453 |
+
logger.error(f"Critical /face-swap error: {e}")
|
| 454 |
+
# The HTTPException detail might include sensitive info like target_url, simplified for the final response
|
| 455 |
+
raise HTTPException(status_code=500, detail=f"Face swap failed: Internal server error.")
|
| 456 |
|
| 457 |
|
| 458 |
+
@fastapi_app.get("/preview/{result_key:path}")
|
| 459 |
+
async def preview_result(result_key: str):
|
| 460 |
+
try:
|
| 461 |
+
img_bytes = download_from_spaces(result_key)
|
| 462 |
+
except Exception:
|
| 463 |
+
raise HTTPException(status_code=404, detail="Result not found")
|
| 464 |
+
return Response(
|
| 465 |
+
content=img_bytes,
|
| 466 |
+
media_type="image/png",
|
| 467 |
+
headers={"Content-Disposition": "inline; filename=result.png"}
|
| 468 |
+
)
|
| 469 |
+
# --------------------- Mount Gradio ---------------------
|
| 470 |
+
fastapi_app = mount_gradio_app(fastapi_app, demo, path="/gradio")
|
| 471 |
+
if __name__ == "__main__":
|
| 472 |
+
uvicorn.run(fastapi_app, host="0.0.0.0", port=7860)
|
| 473 |
+
|
| 474 |
+
|
| 475 |
+
|
| 476 |
+
|
| 477 |
+
|
| 478 |
+
|
| 479 |
+
|
| 480 |
+
|
| 481 |
+
|
| 482 |
+
|
| 483 |
+
# # --------------------- List Images Endpoint ---------------------
|
| 484 |
+
# import os
|
| 485 |
+
# os.environ["OMP_NUM_THREADS"] = "1"
|
| 486 |
+
# import shutil
|
| 487 |
+
# import uuid
|
| 488 |
+
# import cv2
|
| 489 |
+
# import numpy as np
|
| 490 |
+
# import threading
|
| 491 |
+
# import subprocess
|
| 492 |
+
# import logging
|
| 493 |
+
# from datetime import datetime, timezone
|
| 494 |
+
|
| 495 |
+
# import insightface
|
| 496 |
+
# from insightface.app import FaceAnalysis
|
| 497 |
+
# from huggingface_hub import hf_hub_download
|
| 498 |
+
|
| 499 |
+
# from fastapi import FastAPI, UploadFile, File, HTTPException, Response, Depends, Security, Form
|
| 500 |
+
# from fastapi.responses import RedirectResponse
|
| 501 |
+
# from pydantic import BaseModel
|
| 502 |
+
# from motor.motor_asyncio import AsyncIOMotorClient
|
| 503 |
+
|
| 504 |
+
# import uvicorn
|
| 505 |
+
# import gradio as gr
|
| 506 |
+
# from gradio import mount_gradio_app
|
| 507 |
+
|
| 508 |
+
# # DigitalOcean Spaces
|
| 509 |
+
# import boto3
|
| 510 |
+
# from botocore.client import Config
|
| 511 |
+
# from io import BytesIO
|
| 512 |
+
# from typing import Optional
|
| 513 |
+
# import requests
|
| 514 |
+
# import json
|
| 515 |
+
# from bson import ObjectId
|
| 516 |
+
|
| 517 |
+
# # --------------------- Logging ---------------------
|
| 518 |
+
# logging.basicConfig(level=logging.INFO)
|
| 519 |
+
# logger = logging.getLogger(__name__)
|
| 520 |
+
|
| 521 |
+
# # --------------------- Paths -----------------------
|
| 522 |
+
# REPO_ID = "HariLogicgo/face_swap_models"
|
| 523 |
+
# BASE_DIR = "./workspace"
|
| 524 |
+
# MODELS_DIR = "./models"
|
| 525 |
+
|
| 526 |
+
# os.makedirs(MODELS_DIR, exist_ok=True)
|
| 527 |
+
|
| 528 |
+
# # --------------------- Secrets ---------------------
|
| 529 |
+
# HF_TOKEN = os.getenv("HF_TOKEN") # Hugging Face private repo token
|
| 530 |
+
# # Firebase credentials JSON
|
| 531 |
+
# FIREBASE_CREDENTIALS_PATH = os.getenv("FIREBASE_CREDENTIALS_PATH")
|
| 532 |
+
|
| 533 |
+
# # --------------------- DigitalOcean Spaces Credentials ---------------------
|
| 534 |
+
# DO_SPACES_REGION = os.getenv("DO_SPACES_REGION", "blr1")
|
| 535 |
+
# DO_SPACES_ENDPOINT = os.getenv("DO_SPACES_ENDPOINT", f"https://{DO_SPACES_REGION}.digitaloceanspaces.com")
|
| 536 |
+
# DO_SPACES_KEY = os.getenv("DO_SPACES_KEY")
|
| 537 |
+
# DO_SPACES_SECRET = os.getenv("DO_SPACES_SECRET")
|
| 538 |
+
# DO_SPACES_BUCKET = os.getenv("DO_SPACES_BUCKET")
|
| 539 |
+
|
| 540 |
+
# # --------------------- Firebase Auth ---------------------
|
| 541 |
+
# import firebase_admin
|
| 542 |
+
# from firebase_admin import credentials, auth
|
| 543 |
+
# from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
|
| 544 |
+
|
| 545 |
+
# if not firebase_admin._apps:
|
| 546 |
+
# FIREBASE_CREDENTIALS = os.getenv("FIREBASE_CREDENTIALS_PATH")
|
| 547 |
+
# if not FIREBASE_CREDENTIALS:
|
| 548 |
+
# raise RuntimeError("❌ FIREBASE_CREDENTIALS_PATH not set in environment variables")
|
| 549 |
+
|
| 550 |
+
# try:
|
| 551 |
+
# # Try parsing as JSON string
|
| 552 |
+
# cred_dict = json.loads(FIREBASE_CREDENTIALS)
|
| 553 |
+
# cred = credentials.Certificate(cred_dict)
|
| 554 |
+
# logger.info("✅ Firebase initialized from JSON string in environment variable")
|
| 555 |
+
# except json.JSONDecodeError:
|
| 556 |
+
# # Fallback: assume it's a file path
|
| 557 |
+
# cred = credentials.Certificate(FIREBASE_CREDENTIALS)
|
| 558 |
+
# logger.info("✅ Firebase initialized from JSON file path")
|
| 559 |
+
|
| 560 |
+
# firebase_admin.initialize_app(cred)
|
| 561 |
+
|
| 562 |
+
# security = HTTPBearer()
|
| 563 |
+
|
| 564 |
+
# def verify_firebase_token(credentials: HTTPAuthorizationCredentials = Security(security)):
|
| 565 |
+
# """Verify Firebase ID token from Authorization header."""
|
| 566 |
+
# try:
|
| 567 |
+
# id_token = credentials.credentials
|
| 568 |
+
# decoded_token = auth.verify_id_token(id_token)
|
| 569 |
+
# user_email = decoded_token.get("email")
|
| 570 |
+
# if not user_email:
|
| 571 |
+
# raise HTTPException(status_code=401, detail="Firebase token invalid or missing email")
|
| 572 |
+
# return user_email
|
| 573 |
+
# except Exception as e:
|
| 574 |
+
# logger.error(f"Firebase auth failed: {e}")
|
| 575 |
+
# raise HTTPException(status_code=401, detail="Unauthorized: Invalid Firebase token")
|
| 576 |
+
|
| 577 |
+
# # --------------------- Download Models ---------------------
|
| 578 |
+
# def download_models():
|
| 579 |
+
# logger.info("Downloading models from private HF repo...")
|
| 580 |
+
# inswapper_path = hf_hub_download(
|
| 581 |
+
# repo_id=REPO_ID,
|
| 582 |
+
# filename="models/inswapper_128.onnx",
|
| 583 |
+
# repo_type="model",
|
| 584 |
+
# local_dir=MODELS_DIR,
|
| 585 |
+
# token=HF_TOKEN
|
| 586 |
+
# )
|
| 587 |
+
|
| 588 |
+
# buffalo_files = [
|
| 589 |
+
# "1k3d68.onnx",
|
| 590 |
+
# "2d106det.onnx",
|
| 591 |
+
# "genderage.onnx",
|
| 592 |
+
# "det_10g.onnx",
|
| 593 |
+
# "w600k_r50.onnx"
|
| 594 |
+
# ]
|
| 595 |
+
# for f in buffalo_files:
|
| 596 |
+
# hf_hub_download(
|
| 597 |
+
# repo_id=REPO_ID,
|
| 598 |
+
# filename=f"models/buffalo_l/{f}",
|
| 599 |
+
# repo_type="model",
|
| 600 |
+
# local_dir=MODELS_DIR,
|
| 601 |
+
# token=HF_TOKEN
|
| 602 |
+
# )
|
| 603 |
+
# logger.info("Models downloaded successfully")
|
| 604 |
+
# return inswapper_path
|
| 605 |
+
|
| 606 |
+
# inswapper_path = download_models()
|
| 607 |
+
|
| 608 |
+
# # --------------------- Face Analysis + Swapper ---------------------
|
| 609 |
+
# providers = ['CUDAExecutionProvider', 'CPUExecutionProvider']
|
| 610 |
+
# face_analysis_app = FaceAnalysis(name="buffalo_l", root=MODELS_DIR, providers=providers)
|
| 611 |
+
# face_analysis_app.prepare(ctx_id=0, det_size=(640, 640))
|
| 612 |
+
# swapper = insightface.model_zoo.get_model(inswapper_path, providers=providers)
|
| 613 |
+
|
| 614 |
+
# # --------------------- CodeFormer ---------------------
|
| 615 |
+
# CODEFORMER_PATH = "CodeFormer/inference_codeformer.py"
|
| 616 |
+
|
| 617 |
+
# def ensure_codeformer():
|
| 618 |
+
# if not os.path.exists("CodeFormer"):
|
| 619 |
+
# subprocess.run("git clone https://github.com/sczhou/CodeFormer.git", shell=True, check=True)
|
| 620 |
+
# subprocess.run("pip install -r CodeFormer/requirements.txt", shell=True, check=True)
|
| 621 |
+
# subprocess.run("python CodeFormer/basicsr/setup.py develop", shell=True, check=True)
|
| 622 |
+
# subprocess.run("python CodeFormer/scripts/download_pretrained_models.py facelib", shell=True, check=True)
|
| 623 |
+
# subprocess.run("python CodeFormer/scripts/download_pretrained_models.py CodeFormer", shell=True, check=True)
|
| 624 |
+
|
| 625 |
+
# ensure_codeformer()
|
| 626 |
+
|
| 627 |
+
# # --------------------- MongoDB ---------------------
|
| 628 |
+
# MONGODB_URL = os.getenv("MONGODB_URL")
|
| 629 |
+
|
| 630 |
+
# client = None
|
| 631 |
+
# database = None
|
| 632 |
+
|
| 633 |
+
# # --------------------- Admin Panel DB (categories + media_clicks) ---------------------
|
| 634 |
+
# # --------------------- Admin Panel DB (categories + subcategories + media_clicks) ---------------------
|
| 635 |
+
# ADMIN_MONGO_URL = os.getenv("ADMIN_MONGO_URL")
|
| 636 |
+
# admin_client = AsyncIOMotorClient(ADMIN_MONGO_URL)
|
| 637 |
+
# admin_db = admin_client.adminPanel
|
| 638 |
+
|
| 639 |
+
# # Collections
|
| 640 |
+
# categories_col = admin_db.categories
|
| 641 |
+
# subcategories_col = admin_db.subcategories
|
| 642 |
+
# media_clicks_col = admin_db.media_clicks
|
| 643 |
+
# users_col = admin_db.users # optional, only if needed
|
| 644 |
+
|
| 645 |
+
# # --------------------- FastAPI ---------------------
|
| 646 |
+
# fastapi_app = FastAPI()
|
| 647 |
+
|
| 648 |
+
# @fastapi_app.on_event("startup")
|
| 649 |
+
# async def startup_db():
|
| 650 |
+
# global client, database
|
| 651 |
+
# logger.info("Initializing MongoDB for API logs...")
|
| 652 |
+
# client = AsyncIOMotorClient(MONGODB_URL)
|
| 653 |
+
# database = client.FaceSwap
|
| 654 |
+
# logger.info("MongoDB initialized for API logs")
|
| 655 |
+
|
| 656 |
+
# @fastapi_app.on_event("shutdown")
|
| 657 |
+
# async def shutdown_db():
|
| 658 |
+
# global client
|
| 659 |
+
# if client:
|
| 660 |
+
# client.close()
|
| 661 |
+
# logger.info("MongoDB connection closed")
|
| 662 |
+
|
| 663 |
+
# # --------------------- Logging API Hits ---------------------
|
| 664 |
+
# async def log_faceswap_hit(user_email: str, status: str, start_time: datetime, end_time: datetime):
|
| 665 |
+
# global database
|
| 666 |
+
# if database is None:
|
| 667 |
+
# return
|
| 668 |
+
|
| 669 |
+
# response_time_ms = (end_time - start_time).total_seconds() * 1000
|
| 670 |
+
|
| 671 |
+
# await database.api_logs.insert_one({
|
| 672 |
+
# "user": user_email,
|
| 673 |
+
# "endpoint": "/face-swap",
|
| 674 |
+
# "status": status,
|
| 675 |
+
# "start_time": start_time,
|
| 676 |
+
# "end_time": end_time,
|
| 677 |
+
# "response_time_ms": response_time_ms
|
| 678 |
+
# })
|
| 679 |
+
|
| 680 |
+
|
| 681 |
+
# # --------------------- Face Swap Pipeline ---------------------
|
| 682 |
+
# swap_lock = threading.Lock()
|
| 683 |
+
|
| 684 |
+
# def face_swap_and_enhance(src_img, tgt_img, temp_dir="/tmp/faceswap_work"):
|
| 685 |
+
# try:
|
| 686 |
+
# with swap_lock:
|
| 687 |
+
# if os.path.exists(temp_dir):
|
| 688 |
+
# shutil.rmtree(temp_dir)
|
| 689 |
+
# os.makedirs(temp_dir, exist_ok=True)
|
| 690 |
+
|
| 691 |
+
# src_bgr = cv2.cvtColor(src_img, cv2.COLOR_RGB2BGR)
|
| 692 |
+
# tgt_bgr_full = cv2.cvtColor(tgt_img, cv2.COLOR_RGB2BGR)
|
| 693 |
+
|
| 694 |
+
# src_faces = face_analysis_app.get(src_bgr)
|
| 695 |
+
# tgt_faces = face_analysis_app.get(tgt_bgr_full)
|
| 696 |
+
|
| 697 |
+
# if not src_faces or not tgt_faces:
|
| 698 |
+
# return None, None, "❌ Face not detected in source or target image"
|
| 699 |
+
|
| 700 |
+
# src_face0 = src_faces[0]
|
| 701 |
+
# tgt_face0 = tgt_faces[0]
|
| 702 |
+
|
| 703 |
+
# swapped_bgr_full = swapper.get(tgt_bgr_full, tgt_face0, src_face0)
|
| 704 |
+
# if swapped_bgr_full is None:
|
| 705 |
+
# return None, None, "❌ Face swap failed"
|
| 706 |
+
|
| 707 |
+
# swapped_path = os.path.join(temp_dir, f"swapped_{uuid.uuid4().hex[:8]}.jpg")
|
| 708 |
+
# cv2.imwrite(swapped_path, swapped_bgr_full)
|
| 709 |
+
|
| 710 |
+
# cmd = f"python {CODEFORMER_PATH} -w 0.7 --input_path {swapped_path} --output_path {temp_dir} --bg_upsampler realesrgan --face_upsample"
|
| 711 |
+
# result = subprocess.run(cmd, shell=True, capture_output=True, text=True)
|
| 712 |
+
# if result.returncode != 0:
|
| 713 |
+
# return None, None, f"❌ CodeFormer failed:\n{result.stderr}"
|
| 714 |
+
|
| 715 |
+
# final_results_dir = os.path.join(temp_dir, "final_results")
|
| 716 |
+
# final_files = [f for f in os.listdir(final_results_dir) if f.endswith(".png")]
|
| 717 |
+
# if not final_files:
|
| 718 |
+
# return None, None, "❌ No enhanced image found"
|
| 719 |
+
|
| 720 |
+
# final_path = os.path.join(final_results_dir, final_files[0])
|
| 721 |
+
# final_img = cv2.cvtColor(cv2.imread(final_path), cv2.COLOR_BGR2RGB)
|
| 722 |
+
|
| 723 |
+
# return final_img, final_path, ""
|
| 724 |
+
|
| 725 |
+
# except Exception as e:
|
| 726 |
+
# return None, None, f"❌ Error: {str(e)}"
|
| 727 |
+
|
| 728 |
+
# # --------------------- Gradio ---------------------
|
| 729 |
+
# with gr.Blocks() as demo:
|
| 730 |
+
# gr.Markdown("Face Swap")
|
| 731 |
+
|
| 732 |
+
# with gr.Row():
|
| 733 |
+
# src_input = gr.Image(type="numpy", label="Upload Your Face")
|
| 734 |
+
# tgt_input = gr.Image(type="numpy", label="Upload Target Image")
|
| 735 |
+
|
| 736 |
+
# btn = gr.Button("Swap Face")
|
| 737 |
+
# output_img = gr.Image(type="numpy", label="Enhanced Output")
|
| 738 |
+
# download = gr.File(label="⬇️ Download Enhanced Image")
|
| 739 |
+
# error_box = gr.Textbox(label="Logs / Errors", interactive=False)
|
| 740 |
+
|
| 741 |
+
# def process(src, tgt):
|
| 742 |
+
# img, path, err = face_swap_and_enhance(src, tgt)
|
| 743 |
+
# return img, path, err
|
| 744 |
+
|
| 745 |
+
# btn.click(process, [src_input, tgt_input], [output_img, download, error_box])
|
| 746 |
+
|
| 747 |
+
# # --------------------- DigitalOcean Spaces Helper ---------------------
|
| 748 |
+
# def get_spaces_client():
|
| 749 |
+
# session = boto3.session.Session()
|
| 750 |
+
# client = session.client(
|
| 751 |
+
# 's3',
|
| 752 |
+
# region_name=DO_SPACES_REGION,
|
| 753 |
+
# endpoint_url=DO_SPACES_ENDPOINT,
|
| 754 |
+
# aws_access_key_id=DO_SPACES_KEY,
|
| 755 |
+
# aws_secret_access_key=DO_SPACES_SECRET,
|
| 756 |
+
# config=Config(signature_version='s3v4')
|
| 757 |
+
# )
|
| 758 |
+
# return client
|
| 759 |
+
|
| 760 |
+
# def upload_to_spaces(file_bytes, key, content_type="image/png"):
|
| 761 |
+
# client = get_spaces_client()
|
| 762 |
+
# client.put_object(Bucket=DO_SPACES_BUCKET, Key=key, Body=file_bytes, ContentType=content_type, ACL='public-read')
|
| 763 |
+
# return f"{DO_SPACES_ENDPOINT}/{DO_SPACES_BUCKET}/{key}"
|
| 764 |
+
|
| 765 |
+
# def download_from_spaces(key):
|
| 766 |
+
# client = get_spaces_client()
|
| 767 |
+
# obj = client.get_object(Bucket=DO_SPACES_BUCKET, Key=key)
|
| 768 |
+
# return obj['Body'].read()
|
| 769 |
+
|
| 770 |
+
# # --------------------- API Endpoints ---------------------
|
| 771 |
+
# @fastapi_app.get("/")
|
| 772 |
+
# def root():
|
| 773 |
+
# return RedirectResponse("/gradio")
|
| 774 |
+
|
| 775 |
+
# @fastapi_app.get("/health")
|
| 776 |
+
# async def health():
|
| 777 |
+
# return {"status": "healthy"}
|
| 778 |
+
|
| 779 |
# @fastapi_app.post("/face-swap")
|
| 780 |
# async def face_swap_api(
|
| 781 |
# source: UploadFile = File(...),
|
| 782 |
+
# target_category_id: str = Form(...), # REQUIRED (old behavior preserved)
|
| 783 |
+
# category_id: Optional[str] = Form(None),
|
| 784 |
+
# user_id: Optional[str] = Form(None),
|
| 785 |
+
# new_subcategory_id: Optional[str] = Form(None),
|
| 786 |
# user_email: str = Depends(verify_firebase_token)
|
| 787 |
# ):
|
|
|
|
| 788 |
# start_time = datetime.now(timezone.utc)
|
| 789 |
+
|
| 790 |
# try:
|
| 791 |
+
# # ---------------------------------------------------------
|
| 792 |
+
# # NORMALIZE EMPTY STRINGS (Android older versions)
|
| 793 |
+
# # ---------------------------------------------------------
|
| 794 |
+
# if target_category_id == "":
|
| 795 |
+
# target_category_id = None
|
| 796 |
+
|
| 797 |
+
# if new_subcategory_id == "":
|
| 798 |
+
# new_subcategory_id = None
|
| 799 |
+
|
| 800 |
+
# if category_id == "":
|
| 801 |
+
# category_id = None
|
| 802 |
+
|
| 803 |
+
# if user_id == "":
|
| 804 |
+
# user_id = None
|
| 805 |
+
|
| 806 |
+
# # ---------------------------------------------------------
|
| 807 |
+
# # STRICT XOR VALIDATION
|
| 808 |
+
# # ---------------------------------------------------------
|
| 809 |
+
# if target_category_id and new_subcategory_id:
|
| 810 |
+
# raise HTTPException(
|
| 811 |
+
# status_code=400,
|
| 812 |
+
# detail="Provide ONLY ONE of: target_category_id OR new_subcategory_id"
|
| 813 |
+
# )
|
| 814 |
+
|
| 815 |
+
# if not target_category_id and not new_subcategory_id:
|
| 816 |
+
# raise HTTPException(
|
| 817 |
+
# status_code=400,
|
| 818 |
+
# detail="Either target_category_id OR new_subcategory_id is required"
|
| 819 |
+
# )
|
| 820 |
+
|
| 821 |
+
# # ---------------------------------------------------------
|
| 822 |
+
# # READ SOURCE IMAGE
|
| 823 |
+
# # ---------------------------------------------------------
|
| 824 |
# src_bytes = await source.read()
|
| 825 |
# src_key = f"bikini-theme/source/{uuid.uuid4().hex}_{source.filename}"
|
| 826 |
# upload_to_spaces(src_bytes, src_key, content_type=source.content_type)
|
| 827 |
|
| 828 |
+
# # ---------------------------------------------------------
|
| 829 |
+
# # CASE 1 — Old behavior (use DO Spaces target image)
|
| 830 |
+
# # ---------------------------------------------------------
|
| 831 |
+
# if target_category_id:
|
| 832 |
+
# target_filename = f"{target_category_id}.png"
|
| 833 |
+
# target_url = (
|
| 834 |
+
# f"https://{DO_SPACES_BUCKET}.{DO_SPACES_REGION}."
|
| 835 |
+
# f"digitaloceanspaces.com/bikini-theme/target/{target_filename}"
|
| 836 |
+
# )
|
| 837 |
+
|
| 838 |
+
# resp = requests.get(target_url)
|
| 839 |
+
# if resp.status_code != 200:
|
| 840 |
+
# await log_faceswap_hit(user_email, "error", start_time, datetime.now(timezone.utc))
|
| 841 |
+
# raise HTTPException(status_code=404, detail=f"Target image not found: {target_url}")
|
| 842 |
+
|
| 843 |
+
# tgt_bytes = resp.content
|
| 844 |
+
|
| 845 |
+
# # ---------------------------------------------------------
|
| 846 |
+
# # CASE 2 — New behavior (use subcategory asset image)
|
| 847 |
+
# # ---------------------------------------------------------
|
| 848 |
+
# else:
|
| 849 |
+
# # Find subcategory asset by asset_images._id
|
| 850 |
+
# asset = await admin_db.subcategories.find_one(
|
| 851 |
+
# {"asset_images._id": ObjectId(new_subcategory_id)},
|
| 852 |
+
# {"asset_images.$": 1}
|
| 853 |
+
# )
|
| 854 |
+
|
| 855 |
+
# if not asset or "asset_images" not in asset:
|
| 856 |
+
# await log_faceswap_hit(user_email, "error", start_time, datetime.now(timezone.utc))
|
| 857 |
+
# raise HTTPException(
|
| 858 |
+
# status_code=404,
|
| 859 |
+
# detail="Subcategory asset image not found"
|
| 860 |
+
# )
|
| 861 |
+
|
| 862 |
+
# # Extract the single matching image URL
|
| 863 |
+
# asset_url = asset["asset_images"][0]["url"]
|
| 864 |
+
|
| 865 |
+
# resp = requests.get(asset_url)
|
| 866 |
+
# if resp.status_code != 200:
|
| 867 |
+
# raise HTTPException(
|
| 868 |
+
# status_code=404,
|
| 869 |
+
# detail=f"Failed to download asset image: {asset_url}"
|
| 870 |
+
# )
|
| 871 |
+
|
| 872 |
+
# tgt_bytes = resp.content
|
| 873 |
+
|
| 874 |
+
# # ---------------------------------------------------------
|
| 875 |
+
# # DECODE BOTH IMAGES
|
| 876 |
+
# # ---------------------------------------------------------
|
| 877 |
# src_array = np.frombuffer(src_bytes, np.uint8)
|
| 878 |
# tgt_array = np.frombuffer(tgt_bytes, np.uint8)
|
| 879 |
+
|
| 880 |
# src_bgr = cv2.imdecode(src_array, cv2.IMREAD_COLOR)
|
| 881 |
# tgt_bgr = cv2.imdecode(tgt_array, cv2.IMREAD_COLOR)
|
| 882 |
|
| 883 |
# if src_bgr is None or tgt_bgr is None:
|
| 884 |
+
# await log_faceswap_hit(user_email, "error", start_time, datetime.now(timezone.utc))
|
|
|
|
|
|
|
|
|
|
| 885 |
# raise HTTPException(status_code=400, detail="Invalid image data")
|
| 886 |
|
| 887 |
# src_rgb = cv2.cvtColor(src_bgr, cv2.COLOR_BGR2RGB)
|
| 888 |
# tgt_rgb = cv2.cvtColor(tgt_bgr, cv2.COLOR_BGR2RGB)
|
| 889 |
|
| 890 |
+
# # ---------------------------------------------------------
|
| 891 |
+
# # FACE SWAP & ENHANCE
|
| 892 |
+
# # ---------------------------------------------------------
|
| 893 |
# final_img, final_path, err = face_swap_and_enhance(src_rgb, tgt_rgb)
|
| 894 |
# if err:
|
| 895 |
+
# await log_faceswap_hit(user_email, "error", start_time, datetime.now(timezone.utc))
|
|
|
|
| 896 |
# raise HTTPException(status_code=500, detail=err)
|
| 897 |
|
| 898 |
+
# # Save final output to DO Spaces
|
| 899 |
# with open(final_path, "rb") as f:
|
| 900 |
# result_bytes = f.read()
|
| 901 |
+
|
| 902 |
# result_key = f"bikini-theme/result/{uuid.uuid4().hex}_enhanced.png"
|
| 903 |
+
# result_url = upload_to_spaces(result_bytes, result_key, "image/png")
|
| 904 |
|
| 905 |
+
# await log_faceswap_hit(user_email, "success", start_time, datetime.now(timezone.utc))
|
|
|
|
|
|
|
| 906 |
|
| 907 |
+
# # ---------------------------------------------------------
|
| 908 |
+
# # SUCCESS RESPONSE
|
| 909 |
+
# # ---------------------------------------------------------
|
| 910 |
+
# return {
|
| 911 |
+
# "result_url": result_url,
|
| 912 |
+
# "category_id": category_id,
|
| 913 |
+
# "user_id": user_id,
|
| 914 |
+
# "new_subcategory_id": new_subcategory_id
|
| 915 |
+
# }
|
| 916 |
|
| 917 |
# except Exception as e:
|
| 918 |
+
# await log_faceswap_hit(user_email, "error", start_time, datetime.now(timezone.utc))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 919 |
# raise HTTPException(status_code=500, detail=f"Face swap failed: {str(e)}")
|
| 920 |
|
| 921 |
|
| 922 |
+
# ####------------------------------------OLD CODE------------------------------------####
|
| 923 |
+
# # @fastapi_app.post("/face-swap")
|
| 924 |
+
# # async def face_swap_api(
|
| 925 |
+
# # source: UploadFile = File(...),
|
| 926 |
+
# # target_category_id: str = Form(...),
|
| 927 |
+
# # user_email: str = Depends(verify_firebase_token)
|
| 928 |
+
# # ):
|
| 929 |
+
# # # start_time = datetime.utcnow()
|
| 930 |
+
# # start_time = datetime.now(timezone.utc)
|
| 931 |
+
# # try:
|
| 932 |
+
# # src_bytes = await source.read()
|
| 933 |
+
# # src_key = f"bikini-theme/source/{uuid.uuid4().hex}_{source.filename}"
|
| 934 |
+
# # upload_to_spaces(src_bytes, src_key, content_type=source.content_type)
|
| 935 |
+
|
| 936 |
+
# # target_filename = f"{target_category_id}.png"
|
| 937 |
+
# # target_url = f"https://{DO_SPACES_BUCKET}.{DO_SPACES_REGION}.digitaloceanspaces.com/bikini-theme/target/{target_filename}"
|
| 938 |
+
|
| 939 |
+
# # resp = requests.get(target_url)
|
| 940 |
+
# # if resp.status_code != 200:
|
| 941 |
+
# # # end_time = datetime.utcnow()
|
| 942 |
+
# # end_time = datetime.now(timezone.utc)
|
| 943 |
+
# # await log_faceswap_hit(user_email, status="error", start_time=start_time, end_time=end_time)
|
| 944 |
+
# # raise HTTPException(status_code=404, detail=f"Target image not found at {target_url}")
|
| 945 |
+
|
| 946 |
+
# # tgt_bytes = resp.content
|
| 947 |
+
|
| 948 |
+
# # src_array = np.frombuffer(src_bytes, np.uint8)
|
| 949 |
+
# # tgt_array = np.frombuffer(tgt_bytes, np.uint8)
|
| 950 |
+
# # src_bgr = cv2.imdecode(src_array, cv2.IMREAD_COLOR)
|
| 951 |
+
# # tgt_bgr = cv2.imdecode(tgt_array, cv2.IMREAD_COLOR)
|
| 952 |
+
|
| 953 |
+
# # if src_bgr is None or tgt_bgr is None:
|
| 954 |
+
# # #end_time = datetime.utcnow()
|
| 955 |
+
# # end_time = datetime.now(timezone.utc)
|
| 956 |
+
|
| 957 |
+
# # await log_faceswap_hit(user_email, status="error", start_time=start_time, end_time=end_time)
|
| 958 |
+
# # raise HTTPException(status_code=400, detail="Invalid image data")
|
| 959 |
+
|
| 960 |
+
# # src_rgb = cv2.cvtColor(src_bgr, cv2.COLOR_BGR2RGB)
|
| 961 |
+
# # tgt_rgb = cv2.cvtColor(tgt_bgr, cv2.COLOR_BGR2RGB)
|
| 962 |
+
|
| 963 |
+
# # final_img, final_path, err = face_swap_and_enhance(src_rgb, tgt_rgb)
|
| 964 |
+
# # if err:
|
| 965 |
+
# # end_time = datetime.utcnow()
|
| 966 |
+
# # await log_faceswap_hit(user_email, status="error", start_time=start_time, end_time=end_time)
|
| 967 |
+
# # raise HTTPException(status_code=500, detail=err)
|
| 968 |
+
|
| 969 |
+
# # with open(final_path, "rb") as f:
|
| 970 |
+
# # result_bytes = f.read()
|
| 971 |
+
# # result_key = f"bikini-theme/result/{uuid.uuid4().hex}_enhanced.png"
|
| 972 |
+
# # result_url = upload_to_spaces(result_bytes, result_key, content_type="image/png")
|
| 973 |
+
|
| 974 |
+
# # #end_time = datetime.utcnow()
|
| 975 |
+
# # end_time = datetime.now(timezone.utc)
|
| 976 |
+
# # await log_faceswap_hit(user_email, status="success", start_time=start_time, end_time=end_time)
|
| 977 |
+
|
| 978 |
+
# # return {"result_url": result_url}
|
| 979 |
+
|
| 980 |
+
# # except Exception as e:
|
| 981 |
+
# # #end_time = datetime.utcnow()
|
| 982 |
+
# # end_time = datetime.now(timezone.utc)
|
| 983 |
+
|
| 984 |
+
# # # Ensure we log the error with timestamps before raising
|
| 985 |
+
# # try:
|
| 986 |
+
# # await log_faceswap_hit(user_email, status="error", start_time=start_time, end_time=end_time)
|
| 987 |
+
# # except Exception as log_exc:
|
| 988 |
+
# # logger.error("Failed to write log_faceswap_hit: %s", log_exc)
|
| 989 |
+
# # raise HTTPException(status_code=500, detail=f"Face swap failed: {str(e)}")
|
| 990 |
+
|
| 991 |
+
|
| 992 |
+
# @fastapi_app.get("/preview/{result_key:path}")
|
| 993 |
+
# async def preview_result(result_key: str):
|
| 994 |
+
# try:
|
| 995 |
+
# img_bytes = download_from_spaces(result_key)
|
| 996 |
+
# except Exception:
|
| 997 |
+
# raise HTTPException(status_code=404, detail="Result not found")
|
| 998 |
+
# return Response(
|
| 999 |
+
# content=img_bytes,
|
| 1000 |
+
# media_type="image/png",
|
| 1001 |
+
# headers={"Content-Disposition": "inline; filename=result.png"}
|
| 1002 |
+
# )
|
| 1003 |
+
|
| 1004 |
+
# # --------------------- Mount Gradio ---------------------
|
| 1005 |
+
# fastapi_app = mount_gradio_app(fastapi_app, demo, path="/gradio")
|
| 1006 |
+
|
| 1007 |
+
# if __name__ == "__main__":
|
| 1008 |
+
# uvicorn.run(fastapi_app, host="0.0.0.0", port=7860)
|