Update app.py

app.py

@@ -4,12 +4,52 @@ import openai
 import gradio as gr
 import csv
 import json
+from abc import ABC, abstractmethod
 
 # Set the OpenAI API key
 openai.api_key = os.getenv("OPENAI_API_KEY")
 
 ##################
 
+class FlaggingCallback(ABC):
+    """
+    An abstract class for defining the methods that any FlaggingCallback should have.
+    """
+
+    @abstractmethod
+    def setup(self, components: List[IOComponent], flagging_dir: str):
+        """
+        This method should be overridden and ensure that everything is set up correctly for flag().
+        This method gets called once at the beginning of the Interface.launch() method.
+        Parameters:
+        components: Set of components that will provide flagged data.
+        flagging_dir: A string, typically containing the path to the directory where the flagging file should be storied (provided as an argument to Interface.__init__()).
+        """
+        pass
+
+    @abstractmethod
+    def flag(
+        self,
+        flag_data: List[Any],
+        flag_option: str | None = None,
+        flag_index: int | None = None,
+        username: str | None = None,
+    ) -> int:
+        """
+        This method should be overridden by the FlaggingCallback subclass and may contain optional additional arguments.
+        This gets called every time the <flag> button is pressed.
+        Parameters:
+        interface: The Interface object that is being used to launch the flagging interface.
+        flag_data: The data to be flagged.
+        flag_option (optional): In the case that flagging_options are provided, the flag option that is being used.
+        flag_index (optional): The index of the sample that is being flagged.
+        username (optional): The username of the user that is flagging the data, if logged in.
+        Returns:
+        (int) The total number of samples that have been flagged.
+        """
+        pass
+
+
 class HuggingFaceDatasetSaver(FlaggingCallback):
     """
     A callback that saves each flagged sample (both the input and output data)