Upload app.py

app.py

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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.ink/img/pako:eNp1U8mO2zAM_RXCZ-eQpZccCmSZTIpOMQESIAdnDrRMx0JkydXSNDOYfy_lpUgD1AfBfnx8fCTlj0SYgpJ5UipzFRVaD4flSQM_YjwafcVJ9-FCfrbYVGA0ZQeLUkt9futiOM72pEh4QFijR9iTf2tzsx3Z0ti6hxslvb_Lm0TSNPvBDhQsg1TFXXAag7NBef_9hdDqFA6knbEbdgvGwu7mjRXVkDOLOV-yNXmytdQEsoROvTfi4EhK9XTSxUNz_mo4uVHm1lPyce-uR1k_n2RHymHRNPAvNXaTT7NVZYwjeDECVbS4UiYUAyc2lc-yFoPXxkujHaAl2G54PCjIpfBssZAGtsZ5KlLYkjWXkMLiuOfjPVhiymr3_x4qS7wicneTFuMW6Gdxlb6Cb7oJvt1LbEpMso08sza8MnqskA9jL27Ij72Jafb0G-tGkQNTdgKOy_XcFP5GDxFbWsJLV3FQid2LWfZsfpHVqAXBCBYa1e2dAHUBu5Ar6dgby0ghPWxQWk2Oh_L0M0h_S2Ep0YHUrXFHXD_msefo5XEkfFWBK8atdkA7mgfoalpATJI0qfnWoCz4b_iI0VPiK6rplMz5taASg_Kn5KQ_mYrBm_1Ni2TubaA0CU2BntYSeQl1Mi9ROfr8A8FBGds?type=png)](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)