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from typing import List, Dict |
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import httpx |
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import gradio as gr |
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import pandas as pd |
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async def get_splits(dataset_name: str) -> Dict[str, List[Dict]]: |
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URL = f"https://datasets-server.huggingface.co/splits?dataset={dataset_name}" |
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async with httpx.AsyncClient() as session: |
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response = await session.get(URL) |
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return response.json() |
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async def get_valid_datasets() -> Dict[str, List[str]]: |
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URL = f"https://datasets-server.huggingface.co/valid" |
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async with httpx.AsyncClient() as session: |
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response = await session.get(URL) |
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datasets = response.json()["valid"] |
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return gr.Dropdown.update(choices=datasets, value="kelm") |
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async def get_first_rows(dataset: str, config: str, split: str) -> Dict[str, Dict[str, List[Dict]]]: |
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URL = f"https://datasets-server.huggingface.co/first-rows?dataset={dataset}&config={config}&split={split}" |
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async with httpx.AsyncClient() as session: |
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response = await session.get(URL) |
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return response.json() |
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def get_df_from_rows(api_output): |
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return pd.DataFrame([row["row"] for row in api_output["rows"]]) |
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async def update_configs(dataset_name: str): |
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splits = await get_splits(dataset_name) |
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all_configs = sorted(set([s["config"] for s in splits["splits"]])) |
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return (gr.Dropdown.update(choices=all_configs, value=all_configs[0]), |
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splits) |
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async def update_splits(config_name: str, state: gr.State): |
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splits_for_config = sorted(set([s["split"] for s in state["splits"] if s["config"] == config_name])) |
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dataset_name = state["splits"][0]["dataset"] |
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dataset = await update_dataset(splits_for_config[0], config_name, dataset_name) |
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return (gr.Dropdown.update(choices=splits_for_config, value=splits_for_config[0]), dataset) |
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async def update_dataset(split_name: str, config_name: str, dataset_name: str): |
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rows = await get_first_rows(dataset_name, config_name, split_name) |
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df = get_df_from_rows(rows) |
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return df |
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with gr.Blocks() as demo: |
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gr.Markdown("<h1><center>🥫Datasets🎨</center></h1>") |
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gr.Markdown("""<div align="center">Curated Datasets: <a href = "https://www.kaggle.com/datasets">Kaggle</a>. <a href="https://www.nlm.nih.gov/research/umls/index.html">NLM UMLS</a>. <a href="https://loinc.org/downloads/">LOINC</a>. <a href="https://www.cms.gov/medicare/icd-10/2022-icd-10-cm">ICD10 Diagnosis</a>. <a href="https://icd.who.int/dev11/downloads">ICD11</a>. <a href="https://paperswithcode.com/datasets?q=medical&v=lst&o=newest">Papers,Code,Datasets for SOTA in Medicine</a>. <a href="https://paperswithcode.com/datasets?q=mental&v=lst&o=newest">Mental</a>. <a href="https://paperswithcode.com/datasets?q=behavior&v=lst&o=newest">Behavior</a>. <a href="https://www.cms.gov/medicare-coverage-database/downloads/downloads.aspx">CMS Downloads</a>. <a href="https://www.cms.gov/medicare/fraud-and-abuse/physicianselfreferral/list_of_codes">CMS CPT and HCPCS Procedures and Services</a> """) |
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splits_data = gr.State() |
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with gr.Row(): |
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dataset_name = gr.Dropdown(label="Dataset") |
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config = gr.Dropdown(label="Subset") |
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split = gr.Dropdown(label="Split") |
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with gr.Row(): |
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dataset = gr.DataFrame(wrap=True) |
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demo.load(get_valid_datasets, inputs=None, outputs=[dataset_name]) |
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dataset_name.change(update_configs, inputs=[dataset_name], outputs=[config, splits_data]) |
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config.change(update_splits, inputs=[config, splits_data], outputs=[split, dataset]) |
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split.change(update_dataset, inputs=[split, config, dataset_name], outputs=[dataset]) |
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demo.launch(debug=True) |
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