src/streamlit_app.py

import streamlit as st
import cv2
from ultralytics import YOLO
import torch

# Konfigurasi
CONFIDENCE_THRESHOLD = 0.80
model = YOLO("best.pt")

st.title("🧫 CerfixScan - Real-time Cervix Detection")
st.markdown("Deteksi serviks secara real-time langsung dari webcam menggunakan YOLOv8.")

run = st.checkbox('Mulai Kamera')

FRAME_WINDOW = st.image([])

camera = cv2.VideoCapture(0)

while run:
    ret, frame = camera.read()
    if not ret:
        st.warning("Tidak bisa mengakses webcam.")
        break

    # Deteksi pakai YOLO
    results = model(frame)[0]

    # Filter hasil berdasarkan threshold
    filtered_boxes = []
    for box in results.boxes:
        if box.conf.item() >= CONFIDENCE_THRESHOLD:
            filtered_boxes.append(box)

    if filtered_boxes:
        results.boxes = type(results.boxes)(torch.stack([b.data for b in filtered_boxes]))
        annotated_frame = results.plot()
    else:
        annotated_frame = frame

    FRAME_WINDOW.image(annotated_frame, channels="BGR")

camera.release()