Update: Gradio description

app.py

@@ -217,7 +217,26 @@ def rank(q: str, rows: T.List[Row]):
 
 # -------------------- Gradio UI --------------------
 with gr.Blocks(title="Open Dataset Finder (HF • Zenodo • Kaggle)") as demo:
-    gr.Markdown("### Search Hugging Face & Zenodo by default. Kaggle is enabled if credentials exist (API → CLI fallback).")
+        gr.Markdown(
+            """
+            # 🔍 Open Dataset Finder
+            
+            This app lets you search datasets from multiple open data sources.
+            
+            - **Hugging Face Datasets**: Public machine learning datasets for NLP, computer vision, speech, and more.  
+            - **Zenodo**: Research datasets shared by scientists and institutions, often linked to academic publications.  
+            - **Kaggle**: Community datasets, competition datasets, and practice datasets shared on Kaggle.  
+            
+            ### Kaggle authentication
+            To enable Kaggle search, you need to add your Kaggle API credentials as **Repository secrets** in the Space settings:
+            
+            - `KAGGLE_USERNAME`: your Kaggle username  
+            - `KAGGLE_KEY`: your Kaggle API token (found in the `kaggle.json` file you can download from your Kaggle account)  
+            
+            Once the secrets are set, you can check the Kaggle box in the UI and search Kaggle datasets directly here.
+            """
+        )
+
     with gr.Row():
         q = gr.Textbox(label="Query / Idea", value="korean weather")
         k = gr.Slider(10, 200, value=40, step=10, label="Results per source")