Update handler.py

handler.py

@@ -1,36 +1,37 @@
-from typing import  Dict, Any
-import torch
-import base64
-from io import BytesIO
-from model import Model
-from PIL import Image
-# set device
-device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
-
-if device.type != 'cuda':
-    raise ValueError("need to run on GPU")
-
-class EndpointHandler():
-    def __init__(self, path=""):
-        # load the optimized model
-        self.model = Model()
-
-
-    def __call__(self, data: Any) -> Any:
-        """
-        Args:
-            data (:obj:):
-                includes the input data and the parameters for the inference.
-        Return:
-            A :obj:`dict`:. base64 encoded image
-        """
-        inputs = data.pop("image", data)
-        
-        image = Image.open(BytesIO(base64.b64decode(inputs)))
-
-        # run inference pipeline
-        _, res = self.model.process_lineart(image = image) 
-        
-            
-        # encoding image as base 64 is done by the default toolkit
-        return res
+from typing import  Dict, Any
+import torch
+import base64
+from io import BytesIO
+from model import Model
+from PIL import Image
+# set device
+device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+
+if device.type != 'cuda':
+    raise ValueError("need to run on GPU")
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        # load the optimized model
+        self.model = Model()
+
+
+    def __call__(self, data: Any) -> Any:
+        """
+        Args:
+            data (:obj:):
+                includes the input data and the parameters for the inference.
+        Return:
+            A :obj:`dict`:. base64 encoded image
+        """
+        inputs = data.pop("inputs", data)
+
+        
+        image = Image.open(BytesIO(base64.b64decode(inputs['image'])))
+
+        # run inference pipeline
+        _, res = self.model.process_lineart(image) 
+        
+            
+        # encoding image as base 64 is done by the default toolkit
+        return res