Switch to grabbing frames from youtube

Author: Tyler Romero

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

@@ -50,42 +50,51 @@ Keep your API token secure! Anyone who has access to it can impersonate you and
 
 ### Call the Groundlight API
 
-Call the Groundlight API by creating a `Detector` and submitting an `ImageQuery`.
-
-For example, lets say we have captured this image and saved it under `./docs/static/img/thumbs-up.jpg`:
-<img
-src={require('/img/thumbs-up.jpg').default}
-alt="Thumbs-Up Example Image"
-width={"50%"}
-/>
-<br />
-<br />
-
-We can now use Groundlight to ask a question about the image:
+Call the Groundlight API by creating a `Detector` and submitting an `ImageQuery`. A `Detector` represents a specific
+visual question you want to answer, while an `ImageQuery` is a request to analyze an image with that question.
+
+The Groundlight system is designed to provide consistent, highly confident answers for similar images
+(such as frames from the same camera) when asked the same question repeatedly. This makes it ideal for
+monitoring scenarios where you need reliable visual detection.
+
+Let's see how to use Groundlight to analyze an image:
 ```python title="ask.py"
 from groundlight import Groundlight, Detector, ImageQuery
+from framegrab import FrameGrabber
 
 gl = Groundlight()
 
 detector = gl.get_or_create_detector(detector_name, detector_query)
 detector: Detector = gl.get_or_create_detector(
-    name="thumbs-up",
-    query="Is the thumb facing up?",
+    name="eagle-detector",
+    query="Is there an eagle visible?",
 )
 
-img = "./docs/static/img/thumbs-up.jpg"  # Image can be a file or a Python object
-image_query = gl.submit_image_query(detector=det, image=img)
+config = {
+    'input_type': 'youtube_live',
+    'id': {
+        # Big Bear Bald Eagle Nest live-stream
+        'youtube_url': 'https://www.youtube.com/watch?v=B4-L2nfGcuE'
+    }
+}
+
+with FrameGrabber.create_grabber(config) as grabber:
+    frame = grabber.grab()
+    if frame is None:
+        raise Exception("No frame captured")
+
+image_query = gl.submit_image_query(detector=det, image=frame)
 
 print(f"The answer is {image_query.result.label}")
 print(image_query)
 ```
 
-Run the code using `python ask.py`. The code will submit an image to the Groundlight API and print the result:
+Run the code using `python ask.py`. The code will submit an image from the live-stream to the Groundlight API and print the result:
 ```
-The answer is NO
+The answer is YES
 ImageQuery(
     id='iq_2pL5wwlefaOnFNQx1X6awTOd119',
-    query="Is the thumb facing up?",
+    query="Is there an eagle visible?,
     detector_id='det_2owcsT7XCsfFlu7diAKgPKR4BXY',
     result=BinaryClassificationResult(
         confidence=0.9995857543478209,