Create handler.py

handler.py

@@ -0,0 +1,26 @@
+from typing import Dict, List, Any
+from transformers import pipeline
+import transformers
+from PIL import Image
+import requests
+
+print('TRANSFORMERS VERSION')
+print(transformers.__version__)
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        # load pipe
+        self.pipe = pipeline(task="depth-estimation", model=path)
+
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        # get inputs
+        # image = data.pop("image",data)
+
+        # load image
+        url = 'http://images.cocodataset.org/val2017/000000039769.jpg'
+        image = Image.open(requests.get(url, stream=True).raw)
+
+        depth = self.pipe(image)["depth"]
+        
+        return depth