frat: add yolov8 detection code

app.py

@@ -1,4 +1,18 @@
 import streamlit as st
+from ultralytics import YOLO
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+model = YOLO("models/best.pt")
+classNames = ["license-plate", "vehicle"]
+
+st.title("Number Plate and Vehicle Detection using YOLOv8")
+
+st.write("This is a web app to detect number plates and vehicles in images using YOLOv8.")
+
+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)
+    json_results = results[0].tojson()
+    st.write(json_results)

requirements.txt

@@ -0,0 +1,5 @@
+opencv-python==4.8.0.74
+Pillow==10.0.0
+torch==2.0.1
+torchvision==0.15.2
+ultralytics==8.0.147