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demo.yaml

@@ -4,26 +4,17 @@ lite_metadata:
 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
+  description: ''
   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
+  - class_string: gradio.components.Dataframe
     kwargs:
-      label: b
-      precision: 0
+      label: nums
+      type: array
   outputs:
   - class_string: gradio.components.Dataframe
     kwargs:
@@ -33,18 +24,9 @@ kwargs:
     class_string: gradify.gradify_closure
     kwargs:
       argmaps:
-      - label: function
-        postprocessing: null
-      - label: a
-        postprocessing: null
-      - label: b
-        postprocessing: null
+      - label: nums
+        postprocessing: 'lambda array: list(map(int, array[0]))'
       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"
+      source: "def find_duplicates(nums):\n    seen = set()\n    duplicates = set()\n\
+        \    for num in nums:\n        if num in seen:\n            duplicates.add(num)\n\
+        \        else:\n            seen.add(num)\n    return list(duplicates)\n"