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demo.yaml

@@ -1,41 +1,35 @@
 lite_metadata:
   gradio_version: 3.32.0
+  liteobj_version: 0.0.7
 class_string: gradio.interface.Interface
 kwargs:
   title: gitio app
-  description: Given a pandas dataframe, convert values to integers and multiply them
-    by their row index
+  description: ''
   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: df
-        type: pandas
+  - class_string: gradio.components.Dataframe
+    kwargs:
+      label: nums
+      type: array
   outputs:
-    class_string: liteobj.listify
-    args:
-    - class_string: gradio.components.Dataframe
-      kwargs:
-        label: output
-        type: pandas
+  - class_string: gradio.components.Dataframe
+    kwargs:
+      label: output
+      type: array
   fn:
     class_string: gradify.gradify_closure
     kwargs:
       argmaps:
-        class_string: liteobj.listify
-        args:
-        - label: df
-          postprocessing: null
+      - label: nums
+        postprocessing: 'lambda array: list(map(int, array[0]))'
       func_kwargs: {}
       ldict:
         class_string: gradify.exec_to_dict
         kwargs:
-          source: "import pandas as pd\n\n\ndef convert_and_multiply(df):\n    return\
-            \ df.apply(lambda x: pd.to_numeric(x, errors='coerce').fillna(0).\n  \
-            \      astype(int) * x.index, axis=1)"
+          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"

requirements.txt

@@ -1,2 +1,2 @@
 gradio==3.32
-liteobj==0.0.4
+liteobj==0.0.7