Add docs for HF Json saver (#3604)

* Add docs for flagging

* Fix params

* CHANGELOG

---------

Co-authored-by: freddyaboulton <alfonsoboulton@gmail.com>

CHANGELOG.md

@@ -17,9 +17,9 @@
 ## Documentation Changes:
 
 - Makes some fixes to the Theme Guide related to naming of variables, by [@abidlabs](https://github.com/abidlabs) in [PR 3561](https://github.com/gradio-app/gradio/pull/3561)
+- Documented `HuggingFaceDatasetJSONSaver` by [@osanseviero](https://github.com/osanseviero) in [PR 3604](https://github.com/gradio-app/gradio/pull/3604)
 - Makes some additions to documentation of `Audio` and `State` components, and fixes the `pictionary` demo by [@abidlabs](https://github.com/abidlabs) in [PR 3611](https://github.com/gradio-app/gradio/pull/3611)
 
-
 ## Testing and Infrastructure Changes:
 
 - Removed heavily-mocked tests related to comet_ml, wandb, and mlflow as they added a significant amount of test dependencies that prevented installation of test dependencies on Windows environemnts. By [@abidlabs](https://github.com/abidlabs) in [PR 3608](https://github.com/gradio-app/gradio/pull/3608)

gradio/flagging.py

@@ -365,14 +365,24 @@ def flag(
         return line_count
 
 
+@document()
 class HuggingFaceDatasetJSONSaver(FlaggingCallback):
     """
-    A FlaggingCallback that saves flagged data to a Hugging Face dataset in JSONL format.
+    A callback that saves flagged data (both the input and output data)
+    to a Hugging Face dataset in JSONL format.
 
     Each data sample is saved in a different JSONL file,
     allowing multiple users to use flagging simultaneously.
     Saving to a single CSV would cause errors as only one user can edit at the same time.
 
+    Example:
+        import gradio as gr
+        hf_writer = gr.HuggingFaceDatasetJSONSaver(HF_API_TOKEN, "image-classification-mistakes")
+        def image_classifier(inp):
+            return {'cat': 0.3, 'dog': 0.7}
+        demo = gr.Interface(fn=image_classifier, inputs="image", outputs="label",
+                            allow_flagging="manual", flagging_callback=hf_writer)
+    Guides: using_flagging
     """
 
     def __init__(
@@ -384,17 +394,12 @@ def __init__(
         verbose: bool = True,
     ):
         """
-        Params:
-        hf_token (str): The token to use to access the huggingface API.
-        dataset_name (str): The name of the dataset to save the data to, e.g.
-            "image-classifier-1"
-        organization (str): The name of the organization to which to attach
-            the datasets. If None, the dataset attaches to the user only.
-        private (bool): If the dataset does not already exist, whether it
-            should be created as a private dataset or public. Private datasets
-            may require paid huggingface.co accounts
-        verbose (bool): Whether to print out the status of the dataset
-            creation.
+        Parameters:
+            hf_token: The token to use to access the huggingface API.
+            dataset_name: The name of the dataset to save the data to, e.g. "image-classifier-1"
+            organization: The name of the organization to which to attach the datasets. If None, the dataset attaches to the user only.
+            private: If the dataset does not already exist, whether it should be created as a private dataset or public. Private datasets may require paid huggingface.co accounts
+            verbose: Whether to print out the status of the dataset creation.
         """
         self.hf_token = hf_token
         self.dataset_name = dataset_name