README.md

metadata

title: Ais Api
emoji: 🦀
colorFrom: yellow
colorTo: gray
sdk: docker
app_port: 7860
pinned: false

YOLO Weld Type Detector — FastAPI

A simple REST API around an Ultralytics YOLO model for weld-type detection.

Endpoints

• GET /health — quick status
• POST /predict — run detection

Auth (optional)

Set a secret named API_TOKEN in your Space (Settings ▸ Secrets).
Send requests with Authorization: Bearer <token>.

Python POST (with Requests)

from pathlib import Path
import requests 

SPACE_URL = "https://csmith715-ais-api.hf.space/predict"
IMG_PATH = Path("path-to-weld-file.jpg")

with IMG_PATH.open("rb") as f:
    files = {"file": (IMG_PATH.name, f, "image/jpeg")}
    r = requests.post(SPACE_URL, files=files, timeout=100)

r.json()