Rename app.groundlight.ai to dashboard.groundlight.ai (#270)

New login flow.

Author: Tyler Romero

README.md

@@ -31,4 +31,4 @@ Some more resources you might like:
 - [Code Documentation](https://code.groundlight.ai/python-sdk/docs/getting-started)
 - [Python SDK on PyPi](https://pypi.org/project/groundlight/) or [GitHub](https://github.com/groundlight/python-sdk)
 - [Company](https://www.groundlight.ai/)
-- [Login to Groundlight App](https://app.groundlight.ai/)
+- [Login to the Groundlight Dashboard](https://dashboard.groundlight.ai/)

docs/docs/getting-started/1-api-tokens.md

@@ -40,7 +40,7 @@ gl = Groundlight(api_token=token)
 ```
 
 ## Creating and Revoking API Tokens
-You can manage your API tokens from the Groundlight website at [https://app.groundlight.ai/reef/my-account/api-tokens](https://app.groundlight.ai/reef/my-account/api-tokens).
+You can manage your API tokens from the Groundlight dashboard at [https://dashboard.groundlight.ai/reef/my-account/api-tokens](https://dashboard.groundlight.ai/reef/my-account/api-tokens).
 
 
 ### Creating API Tokens
@@ -66,4 +66,3 @@ On the API tokens page, you can see a list of your current tokens, along with th
 1. Confirm that you want to revoke the token.
 
 Note: Revoking an API token will immediately invalidate it and prevent any applications using it from accessing your Groundlight account. Be sure to update your applications with a new token before revoking an old one.
-

docs/docs/getting-started/3-retail-analytics.md

@@ -32,7 +32,7 @@ pip install groundlight opencv-python pillow
 
 ## Creating the Application
 
-1. First, log in to the [Groundlight application](https://app.groundlight.ai) and get an [API Token](api-tokens).
+1. First, log in to the [Groundlight dashboard](https://dashboard.groundlight.ai) and create an [API Token](https://dashboard.groundlight.ai/reef/my-account/api-tokens).
 
 2. Next, we'll write the Python script for the application. Import the required libraries:
 
@@ -166,4 +166,3 @@ Save the script as `service_counter_monitor.py` and run it:
 ```bash
 python service_counter_monitor.py
 ```
-

docs/docs/getting-started/4-dog-on-couch.md

@@ -19,7 +19,7 @@ pip install groundlight opencv-python pillow pyaudio
 
 ## Creating the Application
 
-1. First, log in to the [Groundlight application](https://app.groundlight.ai) and get an [API Token](api-tokens).
+1. First, log in to the [Groundlight dashboard](https://dashboard.groundlight.ai) and create an [API Token](https://dashboard.groundlight.ai/reef/my-account/api-tokens).
 
 2. Next, we'll write the Python script for the application. Import the required libraries:
 
@@ -106,4 +106,3 @@ Save the script as `dog_on_couch_detector.py` and run it:
 ```bash
 python dog_on_couch_detector.py
 ```
-

docs/docs/getting-started/5-streaming.md

@@ -39,7 +39,7 @@ This will download the most recent frame from a YouTube live stream and save it
 chmod +x get_latest_frame.sh
 ```
 
-3. Log in to the [Groundlight application](https://app.groundlight.ai) and get an [API Token](api-tokens).
+3. Log in to the [Groundlight dashboard](https://dashboard.groundlight.ai) and create an [API Token](https://dashboard.groundlight.ai/reef/my-account/api-tokens).
 
 4. Next, we'll write the Python script for the application.
 
@@ -83,4 +83,3 @@ if __name__ == "__main__":
 ```bash
 python streaming_alert.py --video-id=<VIDEO_ID> --detector-name=<DETECTOR_NAME> --query=<QUERY IN QUOTATION MARKS>
 ```
-

docs/docs/getting-started/getting-started.mdx

@@ -33,8 +33,7 @@ Groundlight's Escalation Technology combines the power of generative AI using ou
     pip3 install groundlight
     ```
 
-1.  Head over to the [groundlight web
-    app](https://app.groundlight.ai/reef/my-account/api-tokens) to create an [API token](/docs/getting-started/api-tokens). You will
+1.  Head over to the [Groundlight dashboard](https://dashboard.groundlight.ai/) to create an [API token](https://dashboard.groundlight.ai/reef/my-account/api-tokens). You will
     need to set the `GROUNDLIGHT_API_TOKEN` environment variable to access the API.
 
     ```shell

docs/docusaurus.config.js

@@ -176,7 +176,7 @@ const config = {
               },
               {
                 label: "Sign In",
-                href: "https://app.groundlight.ai/",
+                href: "https://dashboard.groundlight.ai/",
               },
             ],
           },

docs/package-lock.json

@@ -1,4 +1,4 @@
-API_TOKEN_WEB_URL = "https://app.groundlight.ai/reef/my-account/api-tokens"
+API_TOKEN_WEB_URL = "https://dashboard.groundlight.ai/reef/my-account/api-tokens"
 API_TOKEN_VARIABLE_NAME = "GROUNDLIGHT_API_TOKEN"
 
 DEFAULT_ENDPOINT = "https://api.groundlight.ai/"