demo.yaml

lite_metadata:
  gradio_version: 3.32.0
  liteobj_version: 0.0.7
class_string: gradio.interface.Interface
kwargs:
  title: gitio app
  description: An app to recieve n numbers comma separated and spit a Random Function
    with n variables and show 2 int inputs to evaluate the function derivative and
    integral
  article: null
  thumbnail: null
  theme: gradio/seafoam
  css: null
  allow_flagging: never
  inputs:
  - class_string: gradio.components.Textbox
    kwargs:
      label: function
  - class_string: gradio.components.Number
    kwargs:
      label: a
      precision: 0
  - class_string: gradio.components.Number
    kwargs:
      label: b
      precision: 0
  outputs:
  - class_string: gradio.components.Dataframe
    kwargs:
      label: output
      type: array
  fn:
    class_string: gradify.gradify_closure
    kwargs:
      argmaps:
      - label: function
        postprocessing: null
      - label: a
        postprocessing: null
      - label: b
        postprocessing: null
      func_kwargs: {}
      source: "import random\nimport numpy as np\n\n\ndef random_function(n):\n  \
        \  variables = [f'x{i}' for i in range(n)]\n    function = ''\n    for i in\
        \ range(n):\n        coefficient = random.randint(-10, 10)\n        function\
        \ += f'{coefficient}*{variables[i]} + '\n    function = function[:-3]\n  \
        \  return function\n\n\ndef evaluate_derivative_integral(function, a, b):\n\
        \    x = np.linspace(a, b, 1000)\n    y = eval(function)\n    derivative =\
        \ np.gradient(y, x)[0]\n    integral = np.trapz(y, x)\n    return [derivative,\
        \ integral]\n"