feat(api): add flag to disable progress bars (#158)

api/onnx_web/chain/blend_mask.py

@@ -2,8 +2,8 @@ from logging import getLogger
 from typing import List, Optional
 
 from PIL import Image
-from onnx_web.image import valid_image
 
+from onnx_web.image import valid_image
 from onnx_web.output import save_image
 
 from ..params import ImageParams, StageParams
@@ -34,6 +34,9 @@ def blend_mask(
         save_image(server, "last-mask.png", mask)
         save_image(server, "last-mult-mask.png", mult_mask)
 
-    resized = [valid_image(s, min_dims=mult_mask.size, max_dims=mult_mask.size) for s in resized]
+    resized = [
+        valid_image(s, min_dims=mult_mask.size, max_dims=mult_mask.size)
+        for s in resized
+    ]
 
     return Image.composite(resized[0], resized[1], mult_mask)

api/onnx_web/convert/diffusion_original.py

@@ -22,7 +22,6 @@ import traceback
 from logging import getLogger
 from typing import Dict, List
 
-import huggingface_hub.utils.tqdm
 import torch
 from diffusers import (
     AutoencoderKL,
@@ -45,6 +44,7 @@ from diffusers.pipelines.latent_diffusion.pipeline_latent_diffusion import (
 from diffusers.pipelines.paint_by_example import PaintByExampleImageEncoder
 from diffusers.pipelines.stable_diffusion import StableDiffusionSafetyChecker
 from huggingface_hub import HfApi, hf_hub_download
+from huggingface_hub.utils.tqdm import tqdm
 from transformers import (
     AutoFeatureExtractor,
     BertTokenizerFast,
@@ -1054,9 +1054,8 @@ def download_model(db_config: TrainingConfig, token):
         logger.debug("nothing to fetch")
         return None, None
 
-    mytqdm = huggingface_hub.utils.tqdm.tqdm
     out_model = None
-    for repo_file in mytqdm(files_to_fetch, desc=f"Fetching {len(files_to_fetch)} files"):
+    for repo_file in tqdm(files_to_fetch, desc=f"Fetching {len(files_to_fetch)} files"):
         out = hf_hub_download(
             hub_url,
             filename=repo_file,

api/onnx_web/convert/utils.py

@@ -8,9 +8,11 @@ from typing import Dict, List, Optional, Tuple, Union
 import requests
 import safetensors
 import torch
-from tqdm.auto import tqdm
+from huggingface_hub.utils.tqdm import tqdm
 from yaml import safe_load
 
+from ..utils import ServerContext
+
 logger = getLogger(__name__)
 
 
@@ -18,7 +20,7 @@ ModelDict = Dict[str, Union[str, int]]
 LegacyModel = Tuple[str, str, Optional[bool], Optional[bool], Optional[int]]
 
 
-class ConversionContext:
+class ConversionContext(ServerContext):
     def __init__(
         self,
         model_path: Optional[str] = None,
@@ -28,10 +30,8 @@ class ConversionContext:
         opset: Optional[int] = None,
         token: Optional[str] = None,
     ) -> None:
-        self.model_path = model_path or environ.get(
-            "ONNX_WEB_MODEL_PATH", path.join("..", "models")
-        )
-        self.cache_path = cache_path or path.join(self.model_path, ".cache")
+        super().__init__(self, model_path=model_path, cache_path=cache_path)
+
         self.half = half
         self.opset = opset
         self.token = token

api/onnx_web/image.py

@@ -1,7 +1,8 @@
+from typing import Tuple, Union
+
 import numpy as np
 from numpy import random
 from PIL import Image, ImageChops, ImageFilter, ImageOps
-from typing import Tuple, Union
 
 from .params import Border, Point, Size
 

api/onnx_web/serve.py

@@ -9,6 +9,7 @@ from typing import Dict, List, Tuple, Union
 import numpy as np
 import torch
 import yaml
+from diffusers.utils.logging import disable_progress_bar
 from flask import Flask, jsonify, make_response, request, send_from_directory, url_for
 from flask_cors import CORS
 from jsonschema import validate
@@ -388,6 +389,9 @@ load_models(context)
 load_params(context)
 load_platforms(context)
 
+if not context.show_progress:
+    disable_progress_bar()
+
 app = Flask(__name__)
 CORS(app, origins=context.cors_origin)
 

api/onnx_web/utils.py

@@ -27,6 +27,7 @@ class ServerContext:
         image_format: str = "png",
         cache: ModelCache = None,
         cache_path: str = None,
+        show_progress: bool = True,
     ) -> None:
         self.bundle_path = bundle_path
         self.model_path = model_path
@@ -40,6 +41,7 @@ class ServerContext:
         self.image_format = image_format
         self.cache = cache or ModelCache(num_workers)
         self.cache_path = cache_path or path.join(model_path, ".cache")
+        self.show_progress = show_progress
 
     @classmethod
     def from_environ(cls):
@@ -61,6 +63,7 @@ class ServerContext:
             default_platform=environ.get("ONNX_WEB_DEFAULT_PLATFORM", None),
             image_format=environ.get("ONNX_WEB_IMAGE_FORMAT", "png"),
             cache=ModelCache(limit=cache_limit),
+            show_progress=get_boolean(environ, "ONNX_WEB_SHOW_PROGRESS", True),
         )
 
 

docs/server-admin.md

@@ -70,6 +70,9 @@ Others:
 - `ONNX_WEB_NUM_WORKERS`
   - number of background workers for image pipelines
   - this should be equal to or less than the number of available GPUs
+- `ONNX_WEB_SHOW_PROGRESS`
+  - show progress bars in the logs
+  - disabling this can reduce noise in server logs, especially when logging to a file
 
 ### Server Parameters