feat: add yolov8 detection code

app.py

@@ -1,5 +1,6 @@
 import streamlit as st
 from ultralytics import YOLO
+from PIL import Image
 
 model = YOLO("./models/yolov8-best.pt")
 classNames = ["license-plate", "vehicle"]
@@ -13,6 +14,7 @@ image = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
 if image is not None:
     st.image(image, caption="Uploaded Image", use_column_width=True)
     img = image.read()
-    results = model.predict(image, conf=0.5)
+    img = Image.open(img)
+    results = model.predict(img, conf=0.5)
     json_results = results[0].tojson()
     st.write(json_results)