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from fastapi import FastAPI, APIRouter
from fastapi.staticfiles import StaticFiles
from starlette.responses import FileResponse
from transformers import pipeline
from pydantic import BaseModel
from fastapi.middleware.cors import CORSMiddleware
import time
import base64
app = FastAPI()
router = APIRouter()
# Monter les fichiers statiques
@router.get("/")
async def index() -> FileResponse:
return FileResponse(path="front/dist/index.html", media_type="text/html")
@router.get("/verification")
async def verif() -> FileResponse:
return FileResponse(path="front/dist/index.html", media_type="text/html")
app.include_router(router)
app.mount("/", StaticFiles(directory="front/dist", html=True), name="static")
origins = [
"http://localhost:7860", # Exemple d'origine (ajoutez vos origines ici)
"https://example.com",
]
app.add_middleware(
CORSMiddleware,
allow_origins=origins, # Liste des origines autorisées
allow_credentials=True,
allow_methods=["*"], # Autorise toutes les méthodes (GET, POST, etc.)
allow_headers=["*"], # Autorise tous les en-têtes
)
class ImageData(BaseModel):
image: str
class ImagesData(BaseModel):
idCard: str
profileImage: str
@app.post("/uploadpdf")
async def upload_pdf(image_data: ImageData):
# Extraire le contenu Base64
header, encoded = image_data.image.split(',', 1) # Séparer le header des données
binary_data = base64.b64decode(encoded) # Décoder les données
time.sleep(20);
return {"message": "Image reçue et sauvegardée"}
@app.post("/uploadids")
async def upload_ids(images_data: ImagesData):
header, encoded = images_data.idCard.split(',', 1) # Séparer le header des données
id_card_binary_data = base64.b64decode(encoded)
header, encoded = images_data.idCard.split(',', 1) # Séparer le header des données
profile_image_binary_data = base64.b64decode(encoded)
time.sleep(20);
return {"message": "Image reçue et sauvegardée"}
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