Update

app.py

@@ -2,6 +2,7 @@
 
 import gradio as gr
 import polars as pl
+from gradio_modal import Modal
 
 from app_mcp import demo as demo_mcp
 from search import search
@@ -111,6 +112,25 @@ def update_df(
     )
 
 
+def df_row_selected(
+    evt: gr.SelectData,
+) -> tuple[
+    Modal,
+    gr.Textbox,  # title
+    gr.Textbox,  # abstract
+]:
+    if evt.index[1] != 0:
+        return Modal(), gr.Textbox(), gr.Textbox()
+
+    title = evt.row_value[0]
+    row = df_main.filter(pl.col("Title") == title)
+    return (
+        Modal(visible=True),
+        gr.Textbox(value=row["Title"].item()),  # title
+        gr.Textbox(value=row["abstract"].item()),  # abstract
+    )
+
+
 with gr.Blocks(css_paths="style.css") as demo:
     gr.Markdown(DESCRIPTION)
     search_query = gr.Textbox(label="Search", submit_btn=True, show_label=False, placeholder="Search...")
@@ -138,6 +158,11 @@ with gr.Blocks(css_paths="style.css") as demo:
         elem_id="table",
         column_widths=[COLUMN_INFO[col][1] for col in COLUMN_INFO],
     )
+    with Modal(visible=False, elem_id="abstract-modal") as abstract_modal:
+        title = gr.Textbox(label="Title")
+        abstract = gr.Textbox(label="Abstract")
+
+    df.select(fn=df_row_selected, outputs=[abstract_modal, title, abstract])
 
     inputs = [
         search_query,

pyproject.toml

@@ -7,6 +7,7 @@ requires-python = ">=3.10"
 dependencies = [
     "datasets>=4.0.0",
     "faiss-cpu>=1.11.0.post1",
+    "gradio-modal>=0.0.4",
     "gradio[mcp]>=5.38.2",
     "hf-transfer>=0.1.9",
     "loguru>=0.7.3",

requirements.txt

@@ -71,9 +71,12 @@ fsspec==2025.3.0
 gradio==5.38.2
     # via
     #   cvpr2025 (pyproject.toml)
+    #   gradio-modal
     #   spaces
 gradio-client==1.11.0
     # via gradio
+gradio-modal==0.0.4
+    # via cvpr2025 (pyproject.toml)
 groovy==0.1.2
     # via gradio
 h11==0.16.0

uv.lock

@@ -376,6 +376,7 @@ dependencies = [
     { name = "datasets" },
     { name = "faiss-cpu" },
     { name = "gradio", extra = ["mcp"] },
+    { name = "gradio-modal" },
     { name = "hf-transfer" },
     { name = "loguru" },
     { name = "polars" },
@@ -389,6 +390,7 @@ requires-dist = [
     { name = "datasets", specifier = ">=4.0.0" },
     { name = "faiss-cpu", specifier = ">=1.11.0.post1" },
     { name = "gradio", extras = ["mcp"], specifier = ">=5.38.2" },
+    { name = "gradio-modal", specifier = ">=0.0.4" },
     { name = "hf-transfer", specifier = ">=0.1.9" },
     { name = "loguru", specifier = ">=0.7.3" },
     { name = "polars", specifier = ">=1.31.0" },
@@ -692,6 +694,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/e0/38/7f50ae95de8fa419276742230f57a34e8c0f47231da0ad54479dd0088972/gradio_client-1.11.0-py3-none-any.whl", hash = "sha256:afb714aea50224f6f04679fe2ce79c1be75011012d0dc3b3ee575610a0dc8eb2", size = 324452, upload-time = "2025-07-17T02:02:44.542Z" },
 ]
 
+[[package]]
+name = "gradio-modal"
+version = "0.0.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "gradio" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/e2/fd/3b383f9ee8d60625e9e26871ba4adcacbedeab132041b94290758e02e543/gradio_modal-0.0.4.tar.gz", hash = "sha256:717ae699072a171648cfa1b84bc153be84e92d04e9ad58c1bc59af68ef332726", size = 1180812, upload-time = "2024-10-15T23:46:06.134Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/05/3d/76f454de84ae1dccbf2b7023e933afb8dde5fdd89e9476786726ef770737/gradio_modal-0.0.4-py3-none-any.whl", hash = "sha256:d96e817d2e934d9e1b835b06474f45fd349b5ccea499d1536bfb4bd38f62dedb", size = 1106241, upload-time = "2024-10-15T23:46:04.13Z" },
+]
+
 [[package]]
 name = "groovy"
 version = "0.1.2"