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app.py
CHANGED
@@ -35,6 +35,9 @@ css = """
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.cell-menu-button {
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z-index: -1;
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}
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"""
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def to_json_df(con: Connection, tbl: Table) -> pd.DataFrame:
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@@ -70,7 +73,7 @@ with gr.Blocks(css=css) as demo:
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loading_codes_json = gr.JSON([], visible=False)
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with gr.Row():
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with gr.Column():
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gr.Markdown("#
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with gr.Group():
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with gr.Tab("Select Dataset"):
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with gr.Row():
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@@ -82,6 +85,11 @@ with gr.Blocks(css=css) as demo:
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with gr.Tab("Use Locally"):
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use_locally_markdown = gr.Markdown()
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dataframe = gr.DataFrame(to_json_df(memory_con, empty_tbl), interactive=True, wrap=True)
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def show_subset_dropdown(dataset: str):
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if dataset and "/" not in dataset.strip().strip("/"):
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@@ -97,7 +105,7 @@ with gr.Blocks(css=css) as demo:
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split = (splits or [""])[0]
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return dict(choices=splits, value=split, visible=len(splits) > 1, key=hash(str(loading_codes) + subset))
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def show_input_dataframe(dataset: str, subset: str, split: str, loading_codes: list[dict], session: str):
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pattern = ([loading_code["arguments"]["splits"][split] for loading_code in loading_codes if loading_code["config_name"] == subset] or [None])[0]
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if session and dataset and subset and split and pattern:
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duckdb_file = session + ".duckdb"
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@@ -105,13 +113,13 @@ with gr.Blocks(css=css) as demo:
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setup_edits(con, dataset, pattern)
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# Uncomment to have one edit for testing
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# con.sql("INSERT OR REPLACE INTO edits SELECT 2 AS rowid, * FROM dataset LIMIT 1")
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tbl = con.sql(f"SELECT * FROM edited_dataset LIMIT {PAGE_SIZE}")
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return dict(value=to_json_df(con, tbl))
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else:
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return dict(value=to_json_df(memory_con, empty_tbl))
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@demo.load(inputs=session_state, outputs=[dataset_dropdown, loading_codes_json, subset_dropdown, split_dropdown, dataframe, session_state, share_link_textbox, use_locally_markdown])
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def _fetch_datasets(session: str | None, request: gr.Request):
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datasets = list(HfApi().list_datasets(limit=NUM_TRENDING_DATASETS, sort="trendingScore", direction=-1, filter=["format:parquet"]))
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session = request.query_params.get(SESSIONS_DIR) or session
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@@ -128,7 +136,8 @@ with gr.Blocks(css=css) as demo:
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splits = show_split_dropdown(subsets["value"], loading_codes)
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splits["value"] = split if session else splits["value"]
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session = session if isinstance(session, str) else f"{dataset.replace('/', '--')}--{subsets['value']}--{splits['value']}--{uuid4()}"
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return {
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dataset_dropdown: gr.Dropdown(choices=[dataset.id for dataset in datasets], value=dataset),
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loading_codes_json: loading_codes,
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@@ -140,45 +149,80 @@ with gr.Blocks(css=css) as demo:
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use_locally_markdown: (
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f"""In DuckDB:\n\n```sql\nATTACH '{HOST_URL}/gradio_api/file={SESSIONS_DIR}/{session}.duckdb AS db';\nUSE db;\nSELECT * FROM edited_dataset LIMIT 5;\n```\n\n"""
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f"""In Python:\n\n```python\nimport duckdb\n\nduckdb.sql("ATTACH '{HOST_URL}/gradio_api/file={SESSIONS_DIR}/{session}.duckdb' AS db")\nduckdb.sql("USE db")\ndf = duckdb.sql("SELECT * FROM edited_dataset LIMIT 5").df()\n```"""
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)
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}
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@dataset_dropdown.select(inputs=[session_state, dataset_dropdown], outputs=[session_state, loading_codes_json, subset_dropdown, split_dropdown, dataframe])
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def _show_subset_dropdown(session: str | None, dataset: str):
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subsets, loading_codes = show_subset_dropdown(dataset)
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splits = show_split_dropdown(subsets["value"], loading_codes)
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session = f"{dataset.replace('/', '--')}--{subsets['value']}--{splits['value']}--{uuid4()}"
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-
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return {
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loading_codes_json: loading_codes,
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subset_dropdown: gr.Dropdown(**subsets),
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split_dropdown: gr.Dropdown(**splits),
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session_state: session,
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dataframe: gr.DataFrame(**input_dataframe),
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}
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@subset_dropdown.select(inputs=[dataset_dropdown, subset_dropdown, loading_codes_json], outputs=[session_state, split_dropdown, dataframe])
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def _show_split_dropdown(dataset: str, subset: str, loading_codes: list[dict]):
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splits = show_split_dropdown(subset, loading_codes)
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session = f"{dataset.replace('/', '--')}--{subset}--{splits['value']}--{uuid4()}"
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-
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return {
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split_dropdown: gr.Dropdown(**splits),
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session_state: session,
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dataframe: gr.DataFrame(**input_dataframe),
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}
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@split_dropdown.select(inputs=[dataset_dropdown, subset_dropdown, split_dropdown, loading_codes_json], outputs=[session_state, dataframe])
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def _show_input_dataframe(dataset: str, subset: str, split: str, loading_codes: list[dict]) -> pd.DataFrame:
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session = f"{dataset.replace('/', '--')}--{subset}--{split}--{uuid4()}"
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-
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return {
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session_state: session,
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dataframe: gr.DataFrame(**input_dataframe),
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}
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@dataframe.input(inputs=[dataframe, session_state, dataset_dropdown, subset_dropdown, split_dropdown, loading_codes_json])
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def _dataframe_input(df: pd.DataFrame, session: str | None, dataset: str, subset: str, split: str, loading_codes: list[dict]):
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pattern = ([loading_code["arguments"]["splits"][split] for loading_code in loading_codes if loading_code["config_name"] == subset] or [None])[0]
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if session and dataset and subset and split and pattern:
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duckdb_file = session + ".duckdb"
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@@ -188,11 +232,12 @@ with gr.Blocks(css=css) as demo:
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columns = empty_dataset_tbl.columns
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dtypes = empty_dataset_tbl.dtypes
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tbl = from_json_df(con, df, columns=columns, dtypes=dtypes)
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# TODO add edits for page > 1
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# Note: Here we don't use INSERT OR REPLACE because of Not implemented Error: List Update is not supported.
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con.sql(f"DELETE FROM edits WHERE rowid IN range({
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try:
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con.sql(f"INSERT INTO edits SELECT * FROM (SELECT unnest(range({
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except duckdb.ConversionException as e:
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raise gr.Error(str(e).split('\n')[0], title="duckdb.ConversionException")
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print(f"Saved {dataset} edits")
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.cell-menu-button {
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z-index: -1;
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}
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.centered {
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text-align: center;
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}
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"""
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def to_json_df(con: Connection, tbl: Table) -> pd.DataFrame:
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loading_codes_json = gr.JSON([], visible=False)
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with gr.Row():
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with gr.Column():
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gr.Markdown("# π€ (WIP) Hugging Face Dataset Spreadsheets π\n\nEdit any dataset on Hugging Face (full list <a href='https://huggingface.co/datasets' target='_blank'>here</a>)", elem_classes="centered")
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with gr.Group():
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with gr.Tab("Select Dataset"):
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with gr.Row():
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with gr.Tab("Use Locally"):
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use_locally_markdown = gr.Markdown()
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dataframe = gr.DataFrame(to_json_df(memory_con, empty_tbl), interactive=True, wrap=True)
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with gr.Row():
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prev_button = gr.Button("< Previous", min_width=140, interactive=False)
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with gr.Column(scale=9, min_width=0):
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page_html = gr.HTML("Page 1", elem_classes="centered")
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next_button = gr.Button("Next >", min_width=140)
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def show_subset_dropdown(dataset: str):
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if dataset and "/" not in dataset.strip().strip("/"):
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split = (splits or [""])[0]
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return dict(choices=splits, value=split, visible=len(splits) > 1, key=hash(str(loading_codes) + subset))
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def show_input_dataframe(dataset: str, subset: str, split: str, loading_codes: list[dict], session: str, page: int):
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pattern = ([loading_code["arguments"]["splits"][split] for loading_code in loading_codes if loading_code["config_name"] == subset] or [None])[0]
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if session and dataset and subset and split and pattern:
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duckdb_file = session + ".duckdb"
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setup_edits(con, dataset, pattern)
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# Uncomment to have one edit for testing
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# con.sql("INSERT OR REPLACE INTO edits SELECT 2 AS rowid, * FROM dataset LIMIT 1")
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tbl = con.sql(f"SELECT * FROM edited_dataset LIMIT {PAGE_SIZE} OFFSET {(page - 1) * PAGE_SIZE}")
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return dict(value=to_json_df(con, tbl))
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else:
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return dict(value=to_json_df(memory_con, empty_tbl))
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@demo.load(inputs=session_state, outputs=[dataset_dropdown, loading_codes_json, subset_dropdown, split_dropdown, dataframe, session_state, share_link_textbox, use_locally_markdown, prev_button, next_button, page_html])
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def _fetch_datasets(session: str | None, request: gr.Request):
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datasets = list(HfApi().list_datasets(limit=NUM_TRENDING_DATASETS, sort="trendingScore", direction=-1, filter=["format:parquet"]))
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session = request.query_params.get(SESSIONS_DIR) or session
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splits = show_split_dropdown(subsets["value"], loading_codes)
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splits["value"] = split if session else splits["value"]
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session = session if isinstance(session, str) else f"{dataset.replace('/', '--')}--{subsets['value']}--{splits['value']}--{uuid4()}"
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page = 1
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input_dataframe = show_input_dataframe(dataset, subsets["value"], splits["value"], loading_codes, session, page)
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return {
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dataset_dropdown: gr.Dropdown(choices=[dataset.id for dataset in datasets], value=dataset),
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loading_codes_json: loading_codes,
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use_locally_markdown: (
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f"""In DuckDB:\n\n```sql\nATTACH '{HOST_URL}/gradio_api/file={SESSIONS_DIR}/{session}.duckdb AS db';\nUSE db;\nSELECT * FROM edited_dataset LIMIT 5;\n```\n\n"""
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f"""In Python:\n\n```python\nimport duckdb\n\nduckdb.sql("ATTACH '{HOST_URL}/gradio_api/file={SESSIONS_DIR}/{session}.duckdb' AS db")\nduckdb.sql("USE db")\ndf = duckdb.sql("SELECT * FROM edited_dataset LIMIT 5").df()\n```"""
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),
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prev_button: gr.Button(interactive=False),
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next_button: gr.Button(elem_classes="", interactive=True) if len(input_dataframe["value"]) >= PAGE_SIZE else gr.Button(interactive=False),
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page_html: f"Page {page}",
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}
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@dataset_dropdown.select(inputs=[session_state, dataset_dropdown], outputs=[session_state, loading_codes_json, subset_dropdown, split_dropdown, dataframe, prev_button, next_button, page_html])
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def _show_subset_dropdown(session: str | None, dataset: str):
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subsets, loading_codes = show_subset_dropdown(dataset)
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splits = show_split_dropdown(subsets["value"], loading_codes)
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session = f"{dataset.replace('/', '--')}--{subsets['value']}--{splits['value']}--{uuid4()}"
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page = 1
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input_dataframe = show_input_dataframe(dataset, subsets["value"], splits["value"], loading_codes, session, page)
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return {
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loading_codes_json: loading_codes,
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subset_dropdown: gr.Dropdown(**subsets),
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split_dropdown: gr.Dropdown(**splits),
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session_state: session,
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dataframe: gr.DataFrame(**input_dataframe),
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prev_button: gr.Button(interactive=False),
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next_button: gr.Button(elem_classes="", interactive=True) if len(input_dataframe["value"]) >= PAGE_SIZE else gr.Button(interactive=False),
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page_html: f"Page {page}",
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}
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@subset_dropdown.select(inputs=[dataset_dropdown, subset_dropdown, loading_codes_json], outputs=[session_state, split_dropdown, dataframe, prev_button, next_button, page_html])
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def _show_split_dropdown(dataset: str, subset: str, loading_codes: list[dict]):
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splits = show_split_dropdown(subset, loading_codes)
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session = f"{dataset.replace('/', '--')}--{subset}--{splits['value']}--{uuid4()}"
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page = 1
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input_dataframe = show_input_dataframe(dataset, subset, splits["value"], loading_codes, session, page)
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return {
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split_dropdown: gr.Dropdown(**splits),
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session_state: session,
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dataframe: gr.DataFrame(**input_dataframe),
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prev_button: gr.Button(interactive=False),
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next_button: gr.Button(elem_classes="", interactive=True) if len(input_dataframe["value"]) >= PAGE_SIZE else gr.Button(interactive=False),
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page_html: f"Page {page}",
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}
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@split_dropdown.select(inputs=[dataset_dropdown, subset_dropdown, split_dropdown, loading_codes_json], outputs=[session_state, dataframe, prev_button, next_button, page_html])
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def _show_input_dataframe(dataset: str, subset: str, split: str, loading_codes: list[dict]) -> pd.DataFrame:
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session = f"{dataset.replace('/', '--')}--{subset}--{split}--{uuid4()}"
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page = 1
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input_dataframe = show_input_dataframe(dataset, subset, split, loading_codes, session, page)
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return {
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session_state: session,
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dataframe: gr.DataFrame(**input_dataframe),
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prev_button: gr.Button(interactive=False),
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next_button: gr.Button(elem_classes="", interactive=True) if len(input_dataframe["value"]) >= PAGE_SIZE else gr.Button(interactive=False),
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page_html: f"Page {page}",
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}
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@next_button.click(inputs=[dataset_dropdown, subset_dropdown, split_dropdown, loading_codes_json, session_state, page_html], outputs=[dataframe, prev_button, next_button, page_html])
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def _show_next_page(dataset: str, subset: str, split: str, loading_codes: list[dict], session: str, page_str: str) -> pd.DataFrame:
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page = int(page_str.split(" ")[-1]) + 1
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input_dataframe = show_input_dataframe(dataset, subset, split, loading_codes, session, page)
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return {
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dataframe: gr.DataFrame(**input_dataframe),
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prev_button: gr.Button(elem_classes="", interactive=True),
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page_html: f"Page {page}",
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}
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@prev_button.click(inputs=[dataset_dropdown, subset_dropdown, split_dropdown, loading_codes_json, session_state, page_html], outputs=[dataframe, prev_button, next_button, page_html])
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def _show_prev_page(dataset: str, subset: str, split: str, loading_codes: list[dict], session: str, page_str: str) -> pd.DataFrame:
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page = int(page_str.split(" ")[-1]) - 1
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input_dataframe = show_input_dataframe(dataset, subset, split, loading_codes, session, page)
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return {
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dataframe: gr.DataFrame(**input_dataframe),
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prev_button: gr.Button(interactive=False) if page == 1 else gr.Button(elem_classes="", interactive=True),
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page_html: f"Page {page}",
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}
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@dataframe.input(inputs=[dataframe, session_state, dataset_dropdown, subset_dropdown, split_dropdown, loading_codes_json, page_html])
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def _dataframe_input(df: pd.DataFrame, session: str | None, dataset: str, subset: str, split: str, loading_codes: list[dict], page_str: str):
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pattern = ([loading_code["arguments"]["splits"][split] for loading_code in loading_codes if loading_code["config_name"] == subset] or [None])[0]
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if session and dataset and subset and split and pattern:
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duckdb_file = session + ".duckdb"
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columns = empty_dataset_tbl.columns
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dtypes = empty_dataset_tbl.dtypes
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tbl = from_json_df(con, df, columns=columns, dtypes=dtypes)
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page = int(page_str.split(" ")[-1])
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# TODO add edits for page > 1
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# Note: Here we don't use INSERT OR REPLACE because of Not implemented Error: List Update is not supported.
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con.sql(f"DELETE FROM edits WHERE rowid IN range({(page - 1) * PAGE_SIZE}, {page * PAGE_SIZE})")
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try:
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con.sql(f"INSERT INTO edits SELECT * FROM (SELECT unnest(range({(page - 1) * PAGE_SIZE}, {page * PAGE_SIZE})) AS rowid) POSITIONAL JOIN tbl")
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except duckdb.ConversionException as e:
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raise gr.Error(str(e).split('\n')[0], title="duckdb.ConversionException")
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print(f"Saved {dataset} edits")
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