Improvements following code review: remove references to GROUNDLIGHT_…

…API_TOKEN in the code sample; add instructions on how to get video_id; rename script to get most recent frame

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

@@ -17,15 +17,15 @@ pip install groundlight pillow ffmpeg yt-dlp typer
 
 ## Creating the Application
 
-1. Save this command as a shell script `get_last_frame.sh`:
+1. Save this command as a shell script `get_latest_frame.sh`:
 
 ```
 #!/bin/bash
 
 ffmpeg -i "$(yt-dlp -g $1 | head -n 1)" -vframes 1 last.jpg -y
 ``` 
 
-This will download the last frame from a YouTube live stream and save it to a local file `last.jpg`. 
+This will download the most recent frame from a YouTube live stream and save it to a local file `last.jpg`. 
 
 2. Log in to the [Groundlight application](https://app.groundlight.ai) and get an [API Token](api-tokens).
 
@@ -38,21 +38,19 @@ import typer
 from groundlight import Groundlight
 from PIL import Image
 
-GROUNDLIGHT_API_TOKEN=os.getenv("GROUNDLIGHT_API_TOKEN")
-
 
 def main(*, video_id: str = None, detector_name: str = None, query: str = None, confidence: float = 0.75, wait: int = 60):
     """
     Run the script to get the stream's last frame as a subprocess, and submit result as an image query to a Groundlight detector
-    :param video_id: Video ID of the YouTube live stream
+    :param video_id: Video ID of the YouTube live stream (the URLs have the form https://www.youtube.com/watch?v=<VIDEO_ID>)
     :param detector_name: Name for your Groundlight detector
     :param query: Question you want to ask of the stream (we will alert on the answer of NO)
     """
-    gl = Groundlight(api_token=GROUNDLIGHT_API_TOKEN)
+    gl = Groundlight()
     detector = gl.create_detector(name=detector_name, query=query, confidence_threshold=confidence)
 
     while True:
-        p = subprocess.run(["./get_last_frame.sh", video_id])
+        p = subprocess.run(["./get_latest_frame.sh", video_id])
         if p.returncode != 0:
             raise RuntimeError(f"Could not get image from video ID: {video_id}. Process exited with return code {p.returncode}.")
 
@@ -68,7 +66,7 @@ if __name__ == "__main__":
 
 ```
 
-4. Save the script as `streaming_alert.py` and run it:
+4. Save the script as `streaming_alert.py` in the same directory as `get_latest_frame.sh` above and run it:
 
 ```bash
 python streaming_alert.py <VIDEO_ID> --detector_name <DETECTOR_NAME> --query <QUERY IN QUOTATION MARKS>