init

.gitignore

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+.venv

app.py

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+import gradio as gr
+import pandas as pd
+
+# データを読み込む
+df = pd.read_csv(
+    "https://huggingface.co/datasets/litagin/Galgame_Dataset_stats/resolve/main/data.tsv",
+    sep="\t",
+)
+# All numbers to .2f
+df = df.round(2)
+# Rename columns
+print(df.columns)
+df.columns = [
+    "game_name",
+    "speakers",
+    "mono",
+    "stereo",
+    "error",
+    "duration",
+    "sr",
+    "precision",
+    "bitrate",
+    "codec",
+    "total_size_MB",
+]
+
+
+def create_image_md(game_name, spec_num):
+    url = f"https://huggingface.co/datasets/litagin/Galgame_Dataset_stats/resolve/main/specs/{game_name}/spec{spec_num}.png"
+
+    return f"![spec{spec_num}]({url})"
+
+
+# 新しい列を追加
+for i in range(1, 6):
+    df[f"spec{i}"] = df["game_name"].apply(lambda x: create_image_md(x, i))
+
+# 必要な列だけを選択
+df_display = df[
+    [
+        "game_name",
+        "speakers",
+        "mono",
+        "stereo",
+        "bitrate",
+        "sr",
+        "spec1",
+        "spec2",
+        "spec3",
+        "spec4",
+        "spec5",
+    ]
+]
+
+with gr.Blocks() as app:
+    gr.Markdown("Hello")
+    gr.DataFrame(
+        df_display,
+        elem_id="df",
+        datatype=[
+            "str",
+            "number",
+            "number",
+            "number",
+            "number",
+            "number",
+            "markdown",
+            "markdown",
+            "markdown",
+            "markdown",
+            "markdown",
+        ],
+        column_widths=[100, 100, 100, 100, 100, 100, 300, 300, 300, 300, 300],
+        wrap=True,
+        height=800,
+    )
+
+app.launch(inbrowser=True)

requirements.txt

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+gradio
+pandas