vertical UI + add examples

app.py

@@ -53,24 +53,24 @@ def analyze_dataset(dataset: str) -> pd.DataFrame:
         rows, scanned_columns=scanned_columns, columns_descriptions=columns_descriptions
     ):
         presidio_entities.append(presidio_entity)
-        yield f"⚙️ Scanning {dataset} [{rows.next_idx} / {num_rows}]:", pd.DataFrame(presidio_entities)
-    yield f"✅ Scanning {dataset} [{rows.next_idx} / {num_rows}]:", pd.DataFrame(presidio_entities)
+        yield f"⚙️ Scanning {dataset} [{rows.next_idx}/{num_rows} rows]:", pd.DataFrame(presidio_entities)
+    yield f"✅ Scanning {dataset} [{rows.next_idx}/{num_rows}rows]:", pd.DataFrame(presidio_entities)
 
-demo = gr.Interface(
-    fn=analyze_dataset,
-    inputs=[
+with gr.Block(title="Scan datasets using Presidio") as demo:
+    gr.Markdown("The space takes an HF dataset name as an input, and returns the list of entities detected by Presidio in the first samples.")
+    inputs = [
         HuggingfaceHubSearch(
             label="Hub Dataset ID",
             placeholder="Search for dataset id on Huggingface",
             search_type="dataset",
         ),
-    ],
-    outputs=[
+    ]
+    button = gr.Button("Run Presidio Scan")
+    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.",
-)
+    ]
+    button.click(analyze_dataset, inputs, outputs)
+    gr.Examples(["microsoft/orca-math-word-problems-200k", "yahma/alpaca-cleaned", "Anthropic/persuasion", ""])
 
 demo.launch()