demo.yaml

lite_metadata:
  gradio_version: 3.32.0
class_string: gradio.interface.Interface
kwargs:
  title: Gradio Webapp
  description: Given an array of distinct integers candidates and a target integer
    target, return a list of all unique combinations of candidates where the chosen
    numbers sum to target
  article: null
  thumbnail: null
  theme: gradio/seafoam
  css: null
  allow_flagging: never
  inputs:
    class_string: liteobj.listify
    args:
    - class_string: gradio.components.Dataframe
      kwargs:
        label: candidates
        type: array
    - class_string: gradio.components.Number
      kwargs:
        label: target
        precision: 0
  outputs:
    class_string: liteobj.listify
    args:
    - class_string: gradio.components.Dataframe
      kwargs:
        label: output
        type: array
  fn:
    class_string: gradify.gradify_closure
    kwargs:
      argmaps:
        class_string: liteobj.listify
        args:
        - label: candidates
          postprocessing: 'lambda array: list(map(int, array[0]))'
        - label: target
          postprocessing: null
      func_kwargs: {}
      ldict:
        class_string: gradify.exec_to_dict
        kwargs:
          source: "def combinationSum(candidates, target):\n    res = []\n\n    def\
            \ backtrack(start, path, target):\n        if target == 0:\n         \
            \   res.append(path)\n            return\n        for i in range(start,\
            \ len(candidates)):\n            if candidates[i] > target:\n        \
            \        break\n            backtrack(i, path + [candidates[i]], target\
            \ - candidates[i])\n    backtrack(0, [], target)\n    return res\n"