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demo.yaml

@@ -3,39 +3,30 @@ lite_metadata:
   liteobj_version: 0.0.7
 class_string: gradio.interface.Interface
 kwargs:
-  title: gitio date regex
-  description: Given two numbers, find the lowest common factor and subtract it from
-    100
+  title: Gradio Webapp
+  description: Given list of strings, create regex to extract dates
   article: null
   thumbnail: null
   theme: gradio/seafoam
   css: null
   allow_flagging: never
   inputs:
-  - class_string: gradio.components.Number
+  - class_string: gradio.components.Dataframe
     kwargs:
-      label: num1
-      precision: 0
-  - class_string: gradio.components.Number
-    kwargs:
-      label: num2
-      precision: 0
+      label: strings
+      type: array
   outputs:
-  - class_string: gradio.components.Number
+  - class_string: gradio.components.Dataframe
     kwargs:
       label: output
-      precision: 0
+      type: array
   fn:
     class_string: gradify.gradify_closure
     kwargs:
       argmaps:
-      - label: num1
-        postprocessing: null
-      - label: num2
-        postprocessing: null
+      - label: strings
+        postprocessing: 'lambda array: list(map(str, array[0]))'
       func_kwargs: {}
-      source: "def lowest_common_factor(num1, num2):\n    factors1 = set()\n    factors2\
-        \ = set()\n    for i in range(1, num1 + 1):\n        if num1 % i == 0:\n \
-        \           factors1.add(i)\n    for i in range(1, num2 + 1):\n        if\
-        \ num2 % i == 0:\n            factors2.add(i)\n    common_factors = factors1.intersection(factors2)\n\
-        \    return 100 - min(common_factors) if common_factors else 100\n"
+      source: "import re\n\n\ndef extract_dates(strings):\n    regex = '\\\\d{1,2}/\\\
+        \\d{1,2}/\\\\d{4}'\n    dates = []\n    for string in strings:\n        matches\
+        \ = re.findall(regex, string)\n        dates.extend(matches)\n    return dates\n"

gradify.py

@@ -31,4 +31,4 @@ def gradify_closure(source, argmaps, func_kwargs={}):
             import gradio as gr
             raise gr.Error(f"Error: {e}")
 
-    return gradify_func
+    return gradify_func