🎓 GradicAI

pip install ultralytics

from ultralytics import YOLO
from huggingface_hub import hf_hub_download

# Download model from Hugging Face
model_path = hf_hub_download(
    repo_id="asna14/yolov8n-proctoring",
    filename="yolov8n.pt"
)

# Load and run inference
model = YOLO(model_path)
results = model("exam_frame.jpg", conf=0.25)

# Process detections
for box in results[0].boxes:
    cls = int(box.cls[0])
    conf = float(box.conf[0])
    label = results[0].names[cls]
    print(f"Detected: {label} ({conf:.2f})")