Upload folder using huggingface_hub

demo.yaml

@@ -4,32 +4,31 @@ lite_metadata:
 class_string: gradio.interface.Interface
 kwargs:
   title: gitio app
-  description: ''
+  description: Conversational assistant.
   article: null
   thumbnail: null
   theme: gradio/seafoam
   css: null
   allow_flagging: never
   inputs:
-  - class_string: gradio.components.Dataframe
+  - class_string: gradio.components.Textbox
     kwargs:
-      label: nums
-      type: array
+      label: user_input
   outputs:
-  - class_string: gradio.components.Dataframe
+  - class_string: gradio.components.Textbox
     kwargs:
       label: output
-      type: array
   fn:
     class_string: gradify.gradify_closure
     kwargs:
       argmaps:
-      - label: nums
-        postprocessing: 'lambda array: list(map(int, array[0]))'
+      - label: user_input
+        postprocessing: null
       func_kwargs: {}
       ldict:
         class_string: gradify.exec_to_dict
         kwargs:
-          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"
+          source: "def conversational_assistant(user_input):\n    greetings = ['hi',\
+            \ 'hello', 'hey']\n    if user_input.lower() in greetings:\n        return\
+            \ 'Hello! How can I assist you today?'\n    else:\n        return \"I'm\
+            \ sorry, I didn't understand your request. Please try again.\"\n"