test

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+import PIL.Image as Image
+from ultralytics import YOLO
+
+
+model = YOLO('./models/best.pt')
+
+def infer(img_path):
+    results = model(img_path)
+    
+    im_array = results[0].plot()
+    im = Image.fromarray(im_array[..., ::-1])
+    return im
+        
+    
+article = "**이미지를 업로드하세요.**" \
+    
+demo = gr.Interface(fn=infer,
+             inputs=gr.Image(type="numpy", label="Input Image"),
+             outputs=gr.Image(type="pil", label="Result")
+            #  examples=[image_path,]
+             )
+
+demo.launch()

models/best.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1dd302218b154d57bb4971bb9c5908d64484af51703a90bd427377841a481811
+size 6258543

requirements.txt

@@ -0,0 +1 @@
+ultralytics