diff --git a/api/onnx_web/chain/source_txt2img.py b/api/onnx_web/chain/source_txt2img.py
index 76072cce..9b2f8a0a 100644
--- a/api/onnx_web/chain/source_txt2img.py
+++ b/api/onnx_web/chain/source_txt2img.py
@@ -1,6 +1,5 @@
 from logging import getLogger
 
-import numpy as np
 import torch
 from diffusers import OnnxStableDiffusionPipeline
 from PIL import Image
diff --git a/api/onnx_web/convert.py b/api/onnx_web/convert.py
index eb9c6d97..a01991aa 100644
--- a/api/onnx_web/convert.py
+++ b/api/onnx_web/convert.py
@@ -20,8 +20,6 @@ from diffusers import (
 from onnx import load, save_model
 from torch.onnx import export
 
-from . import logging
-
 # suppress common but harmless warnings, https://github.com/ssube/onnx-web/issues/75
 warnings.filterwarnings(
     "ignore", ".*The shape inference of prim::Constant type is missing.*"
diff --git a/api/onnx_web/diffusion/run.py b/api/onnx_web/diffusion/run.py
index a9794091..961bb3c1 100644
--- a/api/onnx_web/diffusion/run.py
+++ b/api/onnx_web/diffusion/run.py
@@ -1,7 +1,6 @@
 from logging import getLogger
 from typing import Any
 
-import numpy as np
 import torch
 from diffusers import OnnxStableDiffusionImg2ImgPipeline, OnnxStableDiffusionPipeline
 from PIL import Image, ImageChops
diff --git a/api/onnx_web/serve.py b/api/onnx_web/serve.py
index 1ccdd8e8..0fb3f200 100644
--- a/api/onnx_web/serve.py
+++ b/api/onnx_web/serve.py
@@ -29,7 +29,6 @@ from jsonschema import validate
 from onnxruntime import get_available_providers
 from PIL import Image
 
-from . import logging
 from .chain import (
     ChainPipeline,
     blend_img2img,
@@ -168,7 +167,7 @@ def pipeline_from_request() -> Tuple[DeviceParams, ImageParams, Size]:
             device = available_platforms[0]
 
     if device is None:
-        logger.warn('unknown platform: %s', device_name)
+        logger.warn("unknown platform: %s", device_name)
         device = available_platforms[0]
 
     # pipeline stuff