Create app.py

app.py

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+import gradio as gr
+import cv2
+from ultralytics import YOLO
+import numpy as np
+
+# Load Advanced YOLOv8 Model (medium version)
+model = YOLO('yolov8m.pt')  # You can switch to yolov8l.pt or yolov8x.pt for even more accuracy
+
+def detect_objects(image):
+    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+    results = model(image)
+    annotated = results[0].plot()
+    annotated = cv2.cvtColor(annotated, cv2.COLOR_BGR2RGB)
+    return annotated
+
+gr.Interface(
+    fn=detect_objects,
+    inputs=gr.Image(type="numpy", label="Upload an Image"),
+    outputs="image",
+    title="Advanced Object Detection with YOLOv8m",
+    description="Upload an image to detect objects using YOLOv8 Medium Model (YOLOv8m.pt)."
+).launch()