add app.py

app.py

@@ -1,7 +1,30 @@
 import gradio as gr
+import requests
+import pandas as pd
+from gradio_huggingfacehub_search import HuggingfaceHubSearch
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+def analyze_dataset(dataset: str) -> pd.DataFrame:
+    yield f"Presidio scan results for {dataset}:", pd.DataFrame({"type": [], "text": [], "row_idx": [], "column_name": []})
+
+iface = gr.Interface(
+    fn=analyze_dataset,
+    inputs=[
+        HuggingfaceHubSearch(
+            label="Hub Dataset ID",
+            placeholder="Search for dataset id on Huggingface",
+            search_type="dataset",
+        ),
+    ],
+    outputs=[
+        gr.Markdown(),
+        gr.DataFrame(),
+    ],
+    title="Scan datasets using Presidio",
+    description="The space takes an HF dataset name as an input, and returns the list of entities detected by Presidio in the first samples.",
+)
+
+with gr.Blocks() as demo:
+    iface.render()
+
 demo.launch()