Create handler.py

handler.py

@@ -0,0 +1,30 @@
+from typing import Dict, List, Any
+from transformers import pipeline
+import transformers
+from PIL import Image
+import base64
+from io import BytesIO
+
+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]]:
+        base64_image = data.pop("inputs",data)
+        if base64_image is None:
+            raise ValueError("No image provided")
+
+        if base64_image.startswith('data:image/jpeg;base64,'):
+            base64_image = base64_image.replace('data:image/jpeg;base64,', '')
+
+        image_bytes = base64.b64decode(base64_image)
+        image = Image.open(BytesIO(image_bytes))
+
+        depth = self.pipe(image)["depth"]
+        
+        return depth