diff --git a/utils/downloads.py b/utils/downloads.py
index 2e0c00cc..24a17609 100644
--- a/utils/downloads.py
+++ b/utils/downloads.py
@@ -66,7 +66,7 @@ def attempt_download(file, repo="Oneflow-Inc/one-yolov5", release="v1.2.0"):
     # Attempt file download from GitHub release assets if not found locally. release = 'latest', 'v7.0', etc.
     from utils.general import LOGGER
 
-    if file.endswith(".pt"):
+    if str(file).endswith(".pt"):
         repo, release = "ultralytics/yolov5", "v7.0"
 
     def github_assets(repository, version="latest"):
diff --git a/utils/flask_rest_api/README.md b/utils/flask_rest_api/README.md
index a726acbd..d1b58f53 100644
--- a/utils/flask_rest_api/README.md
+++ b/utils/flask_rest_api/README.md
@@ -2,7 +2,7 @@
 
 [REST](https://en.wikipedia.org/wiki/Representational_state_transfer) [API](https://en.wikipedia.org/wiki/API)s are
 commonly used to expose Machine Learning (ML)  models to other services. This folder contains an example REST API
-created using Flask to expose the YOLOv5s model from [PyTorch Hub](https://pytorch.org/hub/ultralytics_yolov5/).
+created using Flask to expose the YOLOv5s model from [OneFlow Hub](https://oneflow.readthedocs.io/en/master/hub.html).
 
 ## Requirements
 
diff --git a/utils/flask_rest_api/restapi.py b/utils/flask_rest_api/restapi.py
index 83843ae5..013c3e7f 100644
--- a/utils/flask_rest_api/restapi.py
+++ b/utils/flask_rest_api/restapi.py
@@ -5,11 +5,14 @@
 
 import argparse
 import io
-
+import ssl
 import oneflow as torch
 from flask import Flask, request
 from PIL import Image
 
+# https://stackoverflow.com/questions/50236117/scraping-ssl-certificate-verify-failed-error-for-http-en-wikipedia-org
+ssl._create_default_https_context = ssl._create_unverified_context
+
 app = Flask(__name__)
 models = {}
 
@@ -41,8 +44,7 @@ def predict(model):
     parser.add_argument("--port", default=5000, type=int, help="port number")
     parser.add_argument("--model", nargs="+", default=["yolov5s"], help="model(s) to run, i.e. --model yolov5n yolov5s")
     opt = parser.parse_args()
-
     for m in opt.model:
-        models[m] = torch.hub.load("ultralytics/yolov5", m, force_reload=True, skip_validation=True)
+        models[m] = torch.hub.load("Oneflow-Inc/one-yolov5", "custom", m, force_reload=True, skip_validation=True)
 
     app.run(host="0.0.0.0", port=opt.port)  # debug=True causes Restarting with stat