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demo.yaml

@@ -2,8 +2,11 @@ lite_metadata:
   gradio_version: 3.32.0
 class_string: gradio.interface.Interface
 kwargs:
-  title: Gradio Webapp
-  description: compare two images
+  title: gitio app
+  description: 'Given a pandas dataframe of strings, append “hello world” to all values
+    in the first row.
+
+    '
   article: null
   thumbnail: null
   theme: gradio/seafoam
@@ -12,32 +15,28 @@ kwargs:
   inputs:
     class_string: liteobj.listify
     args:
-    - class_string: gradio.components.Textbox
+    - class_string: gradio.components.Dataframe
       kwargs:
-        label: image1
-    - class_string: gradio.components.Textbox
-      kwargs:
-        label: image2
+        label: df
+        type: pandas
   outputs:
     class_string: liteobj.listify
     args:
-    - class_string: gradio.components.Checkbox
+    - class_string: gradio.components.Dataframe
       kwargs:
         label: output
+        type: pandas
   fn:
     class_string: gradify.gradify_closure
     kwargs:
       argmaps:
         class_string: liteobj.listify
         args:
-        - label: image1
-          postprocessing: null
-        - label: image2
+        - label: df
           postprocessing: null
       func_kwargs: {}
       ldict:
         class_string: gradify.exec_to_dict
         kwargs:
-          source: "from PIL import Image\n\n\ndef compare_images(image1, image2):\n\
-            \    img1 = Image.open(image1)\n    img2 = Image.open(image2)\n    return\
-            \ img1 == img2\n"
+          source: "import pandas as pd\n\n\ndef append_hello_world(df):\n    df.iloc[0]\
+            \ = df.iloc[0].apply(lambda x: x + 'hello world')\n    return df\n"