From f451b814672379ce6a3d1a6f3ac38ea7f92e8b40 Mon Sep 17 00:00:00 2001
From: Jen Looper <jen.looper@gmail.com>
Date: Fri, 24 Sep 2021 11:56:04 -0400
Subject: [PATCH] updating onnxruntime-web call post upgrade

---
 4-Classification/4-Applied/README.md           | 2 +-
 4-Classification/4-Applied/solution/index.html | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/4-Classification/4-Applied/README.md b/4-Classification/4-Applied/README.md
index cad728f3..b6fb5450 100644
--- a/4-Classification/4-Applied/README.md
+++ b/4-Classification/4-Applied/README.md
@@ -219,7 +219,7 @@ You can use your model directly in a web app. This architecture also allows you
 1. First, import the [Onnx Runtime](https://www.onnxruntime.ai/):
 
     ```html
-    <script src="https://cdn.jsdelivr.net/npm/onnxruntime-web@1.8.0-dev.20210608.0/dist/ort.min.js"></script> 
+    <script src="https://cdn.jsdelivr.net/npm/onnxruntime-web@1.9.09/dist/ort.min.js"></script> 
     ```
 
     > Onnx Runtime is used to enable running your Onnx models across a wide range of hardware platforms, including optimizations and an API to use.
diff --git a/4-Classification/4-Applied/solution/index.html b/4-Classification/4-Applied/solution/index.html
index ccea31e4..3ba07707 100644
--- a/4-Classification/4-Applied/solution/index.html
+++ b/4-Classification/4-Applied/solution/index.html
@@ -45,7 +45,7 @@
             <button onClick="startInference()">What kind of cuisine can you make?</button>
         </div>      
         <!-- import ONNXRuntime Web from CDN -->
-        <script src="https://cdn.jsdelivr.net/npm/onnxruntime-web@1.8.0-dev.20210608.0/dist/ort.min.js"></script>
+        <script src="https://cdn.jsdelivr.net/npm/onnxruntime-web@1.9.0/dist/ort.min.js"></script>
         <script>
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