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| from typing import List, Dict | |
| import httpx | |
| import gradio as gr | |
| import pandas as pd | |
| async def get_splits(dataset_name: str) -> Dict[str, List[Dict]]: | |
| URL = f"https://datasets-server.huggingface.co/splits?dataset={dataset_name}" | |
| async with httpx.AsyncClient() as session: | |
| response = await session.get(URL) | |
| return response.json() | |
| async def get_valid_datasets() -> Dict[str, List[str]]: | |
| URL = f"https://datasets-server.huggingface.co/valid" | |
| async with httpx.AsyncClient() as session: | |
| response = await session.get(URL) | |
| datasets = response.json()["valid"] | |
| return gr.Dropdown.update(choices=datasets, value="awacke1/ChatbotMemory.csv") | |
| # The one to watch: https://huggingface.co/rungalileo | |
| # rungalileo/medical_transcription_40 | |
| async def get_first_rows(dataset: str, config: str, split: str) -> Dict[str, Dict[str, List[Dict]]]: | |
| URL = f"https://datasets-server.huggingface.co/first-rows?dataset={dataset}&config={config}&split={split}" | |
| async with httpx.AsyncClient() as session: | |
| response = await session.get(URL) | |
| print(URL) | |
| gr.Markdown(URL) | |
| return response.json() | |
| def get_df_from_rows(api_output): | |
| dfFromSort = pd.DataFrame([row["row"] for row in api_output["rows"]]) | |
| try: | |
| dfFromSort.sort_values(by=1, axis=1, ascending=True, inplace=False, kind='mergesort', na_position='last', ignore_index=False, key=None) | |
| except: | |
| print("Exception sorting due to keyerror?") | |
| return dfFromSort | |
| async def update_configs(dataset_name: str): | |
| splits = await get_splits(dataset_name) | |
| all_configs = sorted(set([s["config"] for s in splits["splits"]])) | |
| return (gr.Dropdown.update(choices=all_configs, value=all_configs[0]), | |
| splits) | |
| async def update_splits(config_name: str, state: gr.State): | |
| splits_for_config = sorted(set([s["split"] for s in state["splits"] if s["config"] == config_name])) | |
| dataset_name = state["splits"][0]["dataset"] | |
| dataset = await update_dataset(splits_for_config[0], config_name, dataset_name) | |
| return (gr.Dropdown.update(choices=splits_for_config, value=splits_for_config[0]), dataset) | |
| async def update_dataset(split_name: str, config_name: str, dataset_name: str): | |
| rows = await get_first_rows(dataset_name, config_name, split_name) | |
| df = get_df_from_rows(rows) | |
| return df | |
| # Guido von Roissum: https://www.youtube.com/watch?v=-DVyjdw4t9I | |
| async def update_URL(dataset: str, config: str, split: str) -> str: | |
| URL = f"https://datasets-server.huggingface.co/first-rows?dataset={dataset}&config={config}&split={split}" | |
| URL = f"https://huggingface.co/datasets/{split}" | |
| return (URL) | |
| async def openurl(URL: str) -> str: | |
| html = f"<a href={URL} target=_blank>{URL}</a>" | |
| return (html) | |
| with gr.Blocks() as demo: | |
| gr.Markdown("<h1><center>🥫Datasets🎨</center></h1>") | |
| 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> """) | |
| splits_data = gr.State() | |
| with gr.Row(): | |
| dataset_name = gr.Dropdown(label="Dataset", interactive=True) | |
| config = gr.Dropdown(label="Subset", interactive=True) | |
| split = gr.Dropdown(label="Split", interactive=True) | |
| with gr.Row(): | |
| #filterleft = gr.Textbox(label="First Column Filter",placeholder="Filter Column 1") | |
| URLcenter = gr.Textbox(label="Dataset URL", placeholder="URL") | |
| btn = gr.Button("Use Dataset") | |
| #URLoutput = gr.Textbox(label="Output",placeholder="URL Output") | |
| URLoutput = gr.HTML(label="Output",placeholder="URL Output") | |
| with gr.Row(): | |
| dataset = gr.DataFrame(wrap=True, interactive=True) | |
| demo.load(get_valid_datasets, inputs=None, outputs=[dataset_name]) | |
| dataset_name.change(update_configs, inputs=[dataset_name], outputs=[config, splits_data]) | |
| config.change(update_splits, inputs=[config, splits_data], outputs=[split, dataset]) | |
| split.change(update_dataset, inputs=[split, config, dataset_name], outputs=[dataset]) | |
| dataset_name.change(update_URL, inputs=[split, config, dataset_name], outputs=[URLcenter]) | |
| btn.click(openurl, [URLcenter], URLoutput) | |
| demo.launch(debug=True) | |
| # original: https://huggingface.co/spaces/freddyaboulton/dataset-viewer -- Freddy thanks! Your examples are the best. | |
| # playlist on Gradio and Mermaid: https://www.youtube.com/watch?v=o7kCD4aWMR4&list=PLHgX2IExbFosW7hWNryq8hs2bt2aj91R- | |
| # Link to Mermaid model and code: [](https://mermaid.live/edit#pako:eNp1U8mO2zAM_RXCZ-eQpZccCmSZTIpOMQESIAdnDrRMx0JkydXSNDOYfy_lpUgD1AfBfnx8fCTlj0SYgpJ5UipzFRVaD4flSQM_YjwafcVJ9-FCfrbYVGA0ZQeLUkt9futiOM72pEh4QFijR9iTf2tzsx3Z0ti6hxslvb_Lm0TSNPvBDhQsg1TFXXAag7NBef_9hdDqFA6knbEbdgvGwu7mjRXVkDOLOV-yNXmytdQEsoROvTfi4EhK9XTSxUNz_mo4uVHm1lPyce-uR1k_n2RHymHRNPAvNXaTT7NVZYwjeDECVbS4UiYUAyc2lc-yFoPXxkujHaAl2G54PCjIpfBssZAGtsZ5KlLYkjWXkMLiuOfjPVhiymr3_x4qS7wicneTFuMW6Gdxlb6Cb7oJvt1LbEpMso08sza8MnqskA9jL27Ij72Jafb0G-tGkQNTdgKOy_XcFP5GDxFbWsJLV3FQid2LWfZsfpHVqAXBCBYa1e2dAHUBu5Ar6dgby0ghPWxQWk2Oh_L0M0h_S2Ep0YHUrXFHXD_msefo5XEkfFWBK8atdkA7mgfoalpATJI0qfnWoCz4b_iI0VPiK6rplMz5taASg_Kn5KQ_mYrBm_1Ni2TubaA0CU2BntYSeQl1Mi9ROfr8A8FBGds) | |