From 9c57cefa069b2e9174da81e6cce902b04b5a04ff Mon Sep 17 00:00:00 2001
From: Sierra Guequierre <sguequierre@gmail.com>
Date: Fri, 8 Mar 2024 11:51:53 -0500
Subject: [PATCH] Apply suggestions from code review

Co-authored-by: JessamyT <75634662+JessamyT@users.noreply.github.com>
---
 docs/ml/upload-model.md | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/docs/ml/upload-model.md b/docs/ml/upload-model.md
index 655e52e13a..555b5bc1f2 100644
--- a/docs/ml/upload-model.md
+++ b/docs/ml/upload-model.md
@@ -41,7 +41,8 @@ Select **Next steps** to continue.
 
 {{<imgproc src="/ml/upload-model.png" resize="600x" alt="Upload model menu on the DATA tab of the Viam app.">}}
 
-1. Select the **Model framework**, or, type of model. TensorFlow Lite, TensorFlow, PyTorch and ONNX model frameworks are currently supported.
+1. Select the **Model framework** or the type of model.
+   TensorFlow Lite, TensorFlow, PyTorch and ONNX model frameworks are currently supported.
 2. Upload the files required for your model framework.
 3. Specify a name for the model.
 4. Specify the **Task type**.
@@ -54,7 +55,7 @@ Also, if you selected **Public**, it should be publicly visible in the [Viam reg
 
 {{% alert title="TFLite label files" color="tip" %}}
 During Step 2, if you chose a TensorFlow Lite model framework, you add a `.txt` label file.
-This should include the label names as you provided them in training, with one name per line.
+This should include the label names as you provided in training, with one name per line.
 {{% /alert %}}
 
 {{% /tab %}}
@@ -63,8 +64,9 @@ This should include the label names as you provided them in training, with one n
 {{<imgproc src="/ml/select-existing-model.png" resize="400x" alt="Select from your existing models.">}}
 
 1. Select the model you would like to update from your existing models.
-1. Select **Next steps** to continue.
-1. Select the **Model framework**, or, type of model. TensorFlow Lite, TensorFlow, PyTorch and ONNX model frameworks are currently supported.
+1. Click **Next steps** to continue.
+1. Select the **Model framework** or the type of model.
+   TensorFlow Lite, TensorFlow, PyTorch and ONNX model frameworks are currently supported.
 1. Upload the files required for your model framework.
 1. Click **Upload model**.