Update app.py

app.py

@@ -1,21 +1,25 @@
 import gradio as gr
 
-def filter_rows_by_term(data: list, search_term: str) -> list:
-    return [row for row in data if search_term in row[0]]
-
-data = [
+data_original = [
     ["apple pie", "dessert", "sweet"],
     ["banana bread", "baked", "breakfast"],
     ["apple cider", "drink", "autumn"],
     ["cherry tart", "dessert", "fruit"],
 ]
 
+def filter_rows_by_term(data: dict[str, list[list[str]]], search_term: str):
+    data_ = data["data"]
+    filtered_data = [row for row in data_ if search_term in row[0]]
+    return {"data": filtered_data}
+
+
 with gr.Blocks() as demo:
-    df_orig = gr.Dataframe(type="array", value=data, visible=False)
-    t = gr.Textbox(placeholder="Search for a term", show_label=False)
-    df = gr.Dataframe(value=data)
+    df_hidden = gr.Dataframe(data_original, visible=False)
+    t = gr.Textbox(placeholder="Search the first column", show_label=False)
+    df = gr.Dataframe()
 
-    t.change(fn=filter_rows_by_term, inputs=[df_orig, t], outputs=[df])
+    demo.load(fn=filter_rows_by_term, inputs=[df_hidden, t], outputs=[df], preprocess=False, postprocess=False)
+    t.change(fn=filter_rows_by_term, inputs=[df_hidden, t], outputs=[df], preprocess=False, postprocess=False)
 
 if __name__ == "__main__":
     demo.launch()