class_docstr: Interface is Gradio's main high-level class, and allows you to create a web-based GUI / demo
  around a machine learning model (or any Python function) in a few lines of code.
  You must specify three parameters: (1) the function to create a GUI for (2) the desired input components and
  (3) the desired output components. Additional parameters can be used to control the appearance
  and behavior of the demo.
  
  Example:
      import gradio as gr
  
      def image_classifier(inp):
          return {'cat': 0.3, 'dog': 0.7}
  
      demo = gr.Interface(fn=image_classifier, inputs="image", outputs="label")
      demo.launch()
  Demos: hello_world, hello_world_3, gpt2_xl
  Guides: quickstart, key-features, sharing-your-app, interface-state, reactive-interfaces, advanced-interface-features, setting-up-a-gradio-demo-for-maximum-performance
code: def render_output_column(
      self,
      submit_btn_in: Button | None,
  ) -> tuple[
      Button | None,
      ClearButton | None,
      DuplicateButton | None,
      Button | None,
      list | None,
  ]:
      submit_btn = submit_btn_in
      clear_btn, duplicate_btn, flag_btns, stop_btn = (
          None,
          None,
          None,
          None,
      )
  
      with Column(variant="panel"):
          for component in self.output_components:
              if not (isinstance(component, State)):
                  component.render()
          with Row():
              if self.interface_type == InterfaceTypes.OUTPUT_ONLY:
                  clear_btn = ClearButton()
                  submit_btn = Button("Generate", variant="primary")
                  if (
                      inspect.isgeneratorfunction(self.fn)
                      or inspect.isasyncgenfunction(self.fn)
                  ) and not self.live:
                      # Stopping jobs only works if the queue is enabled
                      # We don't know if the queue is enabled when the interface
                      # is created. We use whether a generator function is provided
                      # as a proxy of whether the queue will be enabled.
                      # Using a generator function without the queue will raise an error.
                      stop_btn = Button(
                          "Stop", variant="stop", visible=False
                      )
              if self.allow_flagging == "manual":
                  flag_btns = self.render_flag_btns()
              elif self.allow_flagging == "auto":
                  if submit_btn is None:
                      raise RenderError("Submit button not rendered")
                  flag_btns = [submit_btn]
  
              if self.allow_duplication:
                  duplicate_btn = DuplicateButton(
                      scale=1, size="lg", _activate=False
                  )
  
      return (
          submit_btn,
          clear_btn,
          duplicate_btn,
          stop_btn,
          flag_btns,
      )
  
imports: from __future__ import annotations
  import inspect
  import json
  import os
  import warnings
  import weakref
  from typing import TYPE_CHECKING, Any, Callable, Literal
  from gradio_client.documentation import document, set_documentation_group
  from gradio import Examples, utils
  from gradio.blocks import Blocks
  from gradio.components import Button, ClearButton, Component, DuplicateButton, Markdown, State, get_component_instance
  from gradio.data_classes import InterfaceTypes
  from gradio.events import Events, on
  from gradio.exceptions import RenderError
  from gradio.flagging import CSVLogger, FlaggingCallback, FlagMethod
  from gradio.layouts import Accordion, Column, Row, Tab, Tabs
  from gradio.pipelines import load_from_pipeline
  from gradio.themes import ThemeClass
label_desc: Use image node_id 7 for calling the Interface obj's underlying member method code with example usage: obj.render_output_column(submit_btn_in) and returns: submit_btn,  clear_btn,  duplicate_btn,  stop_btn,  flag_btns