feat: simplify steps

app.py

@@ -79,9 +79,6 @@ with gr.Blocks() as demo:
             You can search for the nearest neighbors of a query vector, or
             perform a similarity search on a dataframe.
         </p>
-        <p>
-            This app uses the <a href="https://huggingface.co/minishlab/M2V_multilingual_output">M2V_multilingual_output</a> model from the Hugging Face Hub.
-        </p>
         """
     )
     with gr.Row():
@@ -101,7 +98,8 @@ with gr.Blocks() as demo:
     with gr.Row(variant="panel"):
         split_dropdown = gr.Dropdown(label="Select a split")
         column_dropdown = gr.Dropdown(label="Select a column")
-    btn_vectorize_dataset = gr.Button("Vectorize")
+    with gr.Row(variant="panel"):
+        query_input = gr.Textbox(label="Query")
 
     btn_load_dataset.click(
         load_dataset_from_hub, inputs=search_in, show_progress=True
@@ -110,16 +108,7 @@ with gr.Blocks() as demo:
     )
     split_dropdown.change(
         fn=get_columns, inputs=split_dropdown, outputs=column_dropdown
-    )
-
-    btn_vectorize_dataset.click(
-        fn=vectorize_dataset,
-        inputs=[split_dropdown, column_dropdown],
-        show_progress=True,
-    )
-
-    with gr.Row(variant="panel"):
-        query_input = gr.Textbox(label="Query")
+    ).then(fn=vectorize_dataset, inputs=[split_dropdown, column_dropdown])
 
     btn_run = gr.Button("Run")
     results_output = gr.Dataframe(label="Results")