Create app.py

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from ultralytics import YOLO
+from PIL import Image
+import numpy as np
+
+model = YOLO("best.pt")
+
+def detect(image):
+    results = model(image)
+
+    boxes = []
+    for r in results:
+        for box in r.boxes:
+            boxes.append({
+                "class": int(box.cls),
+                "confidence": float(box.conf),
+                "bbox": box.xyxy.tolist()
+            })
+
+    return boxes
+
+demo = gr.Interface(
+    fn=detect,
+    inputs=gr.Image(type="pil"),
+    outputs="json"
+)
+
+demo.launch()