def get_upload_component(id): return du.Upload( id=id, max_file_size=1800, # 1800 Mb filetypes=['pk'], upload_id=uuid.uuid1(), # Unique session id )
def get_upload_component(id): settings.requests_pathname_prefix = APP_ROOT return du.Upload( id=id, max_file_size=1800, # 1800 Mb filetypes=['csv', 'zip', 'cio'], upload_id=upload_id, #uuid.uuid1(), # Unique session id default_style=upload_style, )
def get_upload_component(id): return du.Upload( id=id, text='Drag and Drop files here', text_completed='Completed: ', cancel_button=True, max_file_size=1800, # 1800 Mb filetypes=['csv', 'zip'], upload_id=uuid.uuid1(), # Unique session id max_files=2, )
def render_random_id_uploader(): return du.Upload(id='uploader', text='点击或拖动文件到此进行上传!', text_completed='已完成上传文件:', cancel_button=True, pause_button=True, filetypes=['md', 'mp4'], default_style={ 'background-color': '#fafafa', 'font-weight': 'bold' }, upload_id=uuid.uuid1())
def show_ground_truth_upload(ground_truth_given): if (ground_truth_given == 'No'): return return html.Div(["True expression data", du.Upload( id={'type': "du_uploader", 'index': 3}, text = 'Drag and Drop or Click here to select a file', max_file_size=1800, filetypes=['tsv'], upload_id=uuid.uuid1(), ), html.Div(id={'type': "upload_file", 'index': 3},style={'display':'none'}), # dcc.Upload( # id={'type': "upload_file", 'index': 3}, # children=html.Div([ # 'Drag and Drop or ', # html.A('Select a file') # ]), # style=upload_style, # ), html.Div(id={'type': "file_preview", 'index':3})])
className="mt-3", ), ], ), ], ), # nlp area dbc.Row( [ dbc.Col( [ html.Div( [ du.Upload( id="upload-image", text="Drag and Drop or Select File", text_completed="Image Analysis of ", max_file_size=100, ) ], className="container mt-5 text-center", ), ], ), ], ), dbc.Row( [ dbc.Col( [ html.Div(id="output-image-raw"), ],
import dash import dash_uploader as du import dash_bootstrap_components as dbc import dash_html_components as html from dash.dependencies import Input, Output, State app = dash.Dash(__name__) # 配置上传文件夹 du.configure_upload(app, folder='temp') app.layout = html.Div( dbc.Container( [du.Upload(id='uploader'), html.H5('上传中或还未上传文件!', id='upload_status')])) @app.callback(Output('upload_status', 'children'), Input('uploader', 'isCompleted'), State('uploader', 'fileNames')) def show_upload_status(isCompleted, fileNames): if isCompleted: return '已完成上传:' + fileNames[0] return dash.no_update if __name__ == '__main__': app.run_server(debug=True, port=8051)
className="main-box", children=[ dcc.Textarea( id= "query-endpoint", value="", placeholder="Enter your SPARQL Endpoint.", className="querybox--endpoint", ), du.Upload( id='upload-data', text='Drag and Drop Here to upload!', filetypes=['nt', 'ttl','rdf','n3','xml','tql'], default_style={ 'width': '95%', 'height': '103px', 'lineHeight': '13px', 'borderWidth': '1px', 'borderStyle': 'dashed', 'margin': 'auto', 'fontSize': 'small', 'color': 'gray' }, ), dcc.Textarea( id= "query-text", value="", placeholder="Enter your SPARQL query.", className="querybox--textarea", n_clicks=0 ), html.Button(
html.Button(['Shutdown'], id='shutdown', n_clicks=None, className='btn btn-danger', type='button'), html.Div([], id='runstatus', className='text-center text-danger'), html.Br(), # ================================================== # the du.Upload max_files attribute is still experimental. This is a potential weak point in the app # but seems to work fine for now # ================================================== du.Upload( max_files=10, filetypes=['txt'], text='Drag and drop here or click to browse', text_completed= 'DONE! Click Here or Drag and Drop to Upload More Files. ' 'File(s) Uploaded Include:', ), html.Br(), html.Div([html.Div([], id='errorlog', className='col')], id='errorlogcontainer', className='container'), html.Div([ html.Button(id='processdata', children='Pre-process the data', className='btn btn-secondary', type='button') ]), ], className='jumbotron text-center mx-auto'),
import dash import dash_uploader as du import dash_bootstrap_components as dbc import dash_html_components as html app = dash.Dash(__name__) # 配置上传文件夹 du.configure_upload(app, folder='temp') app.layout = html.Div( dbc.Container( du.Upload(id='uploader', text='点击或拖动文件到此进行上传!', text_completed='已完成上传文件:', cancel_button=True, pause_button=True, filetypes=['md', 'mp4'], default_style={ 'background-color': '#fafafa', 'font-weight': 'bold' }, upload_id='我的上传'))) if __name__ == '__main__': app.run_server(debug=True)
from flask import send_from_directory import dash import dash_uploader as du import dash_html_components as html import dash_bootstrap_components as dbc from dash.dependencies import Input, Output import os app = dash.Dash(__name__) du.configure_upload(app, 'temp', use_upload_id=False) app.layout = html.Div( dbc.Container( [ du.Upload(id='upload'), html.Div( id='download-files' ) ] ) ) @app.server.route('/download/<file>') def download(file): return send_from_directory('temp', file) @app.callback( Output('download-files', 'children'), Input('upload', 'isCompleted')
app.layout = html.Div( [ dbc.NavbarSimple( brand="Clound Computation", brand_href="#", color="dark", dark=True, ), dbc.Container([ html.H1("HYSYS CSV to DPV File Conversion"), html.H2("Upload"), du.Upload( id="dash-uploader", max_file_size=1800, # 1800 Mb filetypes=['csv'], max_files=1, upload_id=uuid.uuid1(), # Unique session id ), html.H2("File List"), html.Ul(id="file-list"), ]) ], style = {"width": "100%"} ) def save_file(name, content): """Decode and store a file uploaded with Plotly Dash.""" data = content.encode("utf8").split(b";base64,")[1] with open(os.path.join(DOWNLOAD_DIRECTORY, name), "wb") as fp:
from sqlalchemy import create_engine import shutil import time import plotly.graph_objs as go import base64 import io APP_ID = 'user_large_data_cache' layout = dbc.Container([ html.H1('Large User Input File Upload'), dcc.Store(id=f'{APP_ID}_session_store'), dcc.Store(id=f'{APP_ID}_large_upload_fn_store'), dbc.Row([ dbc.Col( du.Upload(id=f'{APP_ID}_large_upload') ), dbc.Col( dcc.Upload( id=f'{APP_ID}_dcc_upload', children=html.Div([ 'dcc.Upload ' ]), style={ 'width': '100%', 'height': '60px', 'lineHeight': '60px', 'borderWidth': '1px', 'borderStyle': 'dashed', 'borderRadius': '5px', 'textAlign': 'center',
import numpy as np from pathlib import Path import uuid import io from base64 import b64encode from PIL import Image import moviepy.editor as mpy APP_ID = 'user_large_video' layout = dbc.Container([ html.H1('My Video Editor'), dcc.Store(id=f'{APP_ID}_large_upload_fn_store'), du.Upload(id=f'{APP_ID}_large_upload', max_file_size=5120), dbc.Row([ dbc.Col([ dbc.FormGroup([ dbc.Label('Subclip Start (s)'), dbc.Input(id=f'{APP_ID}_t_start_input', type='number') ]), dbc.FormGroup([ dbc.Label('Crop Bottom (px)'), dbc.Input(id=f'{APP_ID}_crop_bot_input', type='number', value=0) ]) ]), dbc.Col([ dbc.FormGroup([ dbc.Label('Subclip End(s)'), dbc.Input(id=f'{APP_ID}_t_end_input', type='number')
persistence=True, number_of_months_shown=1, show_outside_days=False, with_portal=True ), html.H3("Uploaded Files List", style={'placeSelf': 'center'}), dcc.Loading(html.Ul(id="file-list"), color='#eabf1a'), html.Div( du.Upload(id='dash_uploader', text='Drag and Drop Here to upload!', max_files=1, filetypes=['zip'], default_style={'overflow': 'hide'} ), style={} )], style=dict(column_style, overflow='auto') ), dbc.Col([html.P(['After Uploading Files', html.Br(), 'Select a month to Calculate'], style={'placeSelf': 'end center'}), html.Div( # wrapped because of styling problmes in dropdown dcc.Dropdown(id='calculation_selection_dropdown', options=[{'label': i, 'value': i} for i in directories],
from flask import send_from_directory import dash import dash_uploader as du import dash_html_components as html import dash_bootstrap_components as dbc from dash.dependencies import Input, Output import os app = dash.Dash(__name__) du.configure_upload(app, 'temp', use_upload_id=False) app.layout = html.Div( dbc.Container([du.Upload(id='upload'), html.Div(id='download-files')])) @app.server.route('/download/<file>') def download(file): return send_from_directory('temp', file) @app.callback(Output('download-files', 'children'), Input('upload', 'isCompleted')) def render_download_url(isCompleted): if isCompleted: return html.Ul([ html.Li( html.A(f'/{file}', href=f'/download/{file}', target='_blank'))
import dash import dash_uploader as du import dash_bootstrap_components as dbc import dash_html_components as html app = dash.Dash(__name__) # 配置上传文件夹 du.configure_upload(app, folder='temp') app.layout = html.Div( dbc.Container( du.Upload(max_file_size=1024*1000) ) ) if __name__ == '__main__': app.run_server(debug=True)
for i in [2]: app.callback( Output(f"navbar-collapse{i}", "is_open"), [Input(f"navbar-toggler{i}", "n_clicks")], [State(f"navbar-collapse{i}", "is_open")], )(toggle_navbar_collapse) # embedding the navigation bar app.layout = html.Div([ dcc.Location(id='url', refresh=False), navbar, html.Div([ du.Upload(id='upload-data', filetypes=['csv'], max_file_size=1800, text='Browse and select CSV file', text_completed='Completed :', pause_button=False, cancel_button=True), ], className="row"), html.Div(id='page-content') ]) @app.callback(Output('page-content', 'children'), [Input('url', 'pathname')]) def display_page(pathname): if pathname == '/apps/bar_testing': return bar_testing.layout if pathname == '/apps/coorelation_together': return coorelation_together.layout
}, children=[ DashTabulator( id='ms-table', columns=columns, options=options, clearFilterButtonType=clearFilterButtonType) ]) _label = 'MS-Files' _layout = html.Div([ html.H3('Upload MS-files'), html.Div(du.Upload( id='ms-uploader', filetypes=['tar', 'zip', 'mzxml', 'mzml', 'mzXML', 'mzML'], upload_id=uuid.uuid1(), max_files=10000, text='Upload mzXML/mzML files.'), style={ 'textAlign': 'center', 'width': '100%', 'padding': '0px', 'margin-bottom': '20px', 'display': 'inline-block', }), html.Button('Import from URL', id='ms-import-from-url'), dcc.Input(id='url', placeholder='Drop URL / path here', style={'width': '100%'}), dcc.Markdown('---', style={'marginTop': '10px'}), dcc.Markdown('##### Actions'),
'textAlign': 'center', 'margin': '10px', } input_layout = html.Div(children=[ html.H2(children='Data'), html.Label(["Data types", dcc.RadioItems( options=data_sample_options, id='data_sample_option', value='single_sample', labelStyle={'display': 'inline-block'})]), html.Label(["Number of methods", dcc.RadioItems( options=multi_methods_options, id='multi_methods_option', value='single_method', labelStyle={'display': 'inline-block'})]), html.Div(["Quantification result", html.Div(id='single_method_quantif_uploader',children=[du.Upload( id={'type': "du_uploader", 'index': 1}, text = 'Drag and Drop or Click here to select a file', max_files = 1, max_file_size=4096, filetypes=['tsv'], upload_id=uuid.uuid1(), ),html.Div(id={'type': "upload_file", 'index':1},style={'display':'none'}),html.Div(id={'type': "file_preview", 'index':1})]), html.Div(id='multi_method_quantif_uploader',children=[du.Upload( id={'type': "du_uploader", 'index': 2}, text = 'Drag and Drop or Click here to select a zip file', max_files = 1, max_file_size=4096, filetypes=['zip'], upload_id=uuid.uuid1(), ),html.Div(id={'type': "upload_file", 'index':2},style={'display':'none'}),html.Div(id={'type': "file_preview", 'index':2})]), ]), # dcc.Upload( # id={'type': "upload_file", 'index': 1}, # children=html.Div([
def upload_page(): return (html.Div([ html.H2("Loading anndata"), html.Hr(), html.Div(id="upload-message"), html.H5("Choose dataset"), dcc.Dropdown(options=get_datasets(), id="dataset-dropdown", className="mb-3"), dbc.Button( "Submit", id="submit-datafile", className="mb-3 mr-3 mt-3", color="success", ), dbc.Button("Upload your own .h5ad data", id="open", color="primary"), html.Div([ dbc.Modal( [ dbc.ModalHeader("Header"), dbc.ModalBody([ html.H5("Local files"), html.Div( [ du.Upload( id='dash-uploader', upload_id=uuid.uuid1( ), # Unique session id ), html.Div(id='callback-output'), ], className="mb-3", ), html.H5("Google drive file link (faster): "), dbc.Row([ dbc.Col([ dcc.Input(placeholder='Dataset name', type='text', value='', style={"width": "100%"}, id="name"), ], width=4), dbc.Col([ dcc.Input( placeholder='Public google drive link', type='text', value='', style={"width": "100%"}, id="link"), ]), dbc.Col([dbc.Button( "Download", id="download", )], width=2) ]), html.Div([ dbc.Spinner(html.Div(id="loading-output")), ]) ]), dbc.ModalFooter( dbc.Button("Done", id="close", className="ml-auto")), ], id="modal", size="xl", ), ]), ]))
), html.Div( [ html.Div( style={ 'backgroundColor': "#d0d1ff", 'margin': 15 }, children=[ html.P( "Try your own data!", className="control_label", ), du.Upload( id='dash-uploader', max_file_size=1800, # 1800 Mb filetypes=['csv', 'zip'], upload_id=uuid.uuid1(), # Unique session id ), html.Div(id='callback-output'), html.Div(id='intermediate-value', style={'display': 'none'}), ], className="pretty_container four columns", id="cross-filter-options"), html.Div([ html.Div( [ dcc.Graph(id='scatter', config={'displayModeBar': False}) ], id="countGraphContainer",
You can upload up to 10 files at a time.''', style={'margin': 'auto', 'padding': 'auto'}) ]), style={ 'width': '100%', 'height': '120px', 'lineHeight': '120px', 'borderWidth': '1px', 'borderStyle': 'dashed', 'borderRadius': '5px', 'textAlign': 'center', 'marginBottom': '15px', }, # Allow multiple files to be uploaded multiple=True), html.Div( du.Upload(id='ms-upload-zip', filetypes=['tar', 'zip'], upload_id=uuid.uuid1(), text='Click here to drag and drop ZIP/TAR compressed archives'), style={ 'textAlign': 'center', 'width': '100%', 'padding': '0px', 'margin-bottom': '20px', 'display': 'inline-block', }), html.Button('Import from URL or local path', id='ms-import-from-url'), dcc.Input(id='url', placeholder='Drop URL / path here', style={'width': '100%'}), dcc.Markdown('---', style={'marginTop': '10px'}), dcc.Markdown('##### Actions'), html.Button('Convert to Feather', id='ms-convert'), html.Button('Delete selected files', id='ms-delete', style={'float': 'right'}),
import dash_uploader as du import os from flask import send_from_directory import time app = dash.Dash(__name__, suppress_callback_exceptions=True) du.configure_upload(app, 'NetDisk', use_upload_id=False) app.layout = html.Div( dbc.Container([ html.H3('简易的个人云盘应用'), html.Hr(), html.P('文件上传区:'), du.Upload(id='upload', text='点击或拖动文件到此进行上传!', text_completed='已完成上传文件:', max_files=1000), html.Hr(), dbc.Row([ dbc.Button('删除选中的文件', id='delete-btn', outline=True), dbc.Button('打包下载选中的文件', id='download-btn', outline=True) ]), html.Hr(), dbc.Spinner(dbc.Checklist(id='file-list-check')), html.A(id='download-url', target='_blank') ])) @app.server.route('/download/<file>') def download(file): return send_from_directory('NetDisk', file)
import dash import dash_uploader as du import dash_bootstrap_components as dbc import dash_html_components as html app = dash.Dash(__name__) # 配置上传文件夹 du.configure_upload(app, folder='temp') app.layout = html.Div( dbc.Container( du.Upload() ) ) if __name__ == '__main__': app.run_server(debug=True)
from sqlalchemy import create_engine import cchardet as chardet postgres_url = 'postgresql://*****:*****@localhost:5432/Dash' engine = create_engine(postgres_url) app = dash.Dash(__name__) du.configure_upload(app, 'upload') app.layout = html.Div( dbc.Container( [ du.Upload(id='upload', filetypes=['csv'], text='点击或拖动文件到此进行上传!', text_completed='已完成上传文件:', cancel_button=True, pause_button=True), html.Hr(), dbc.Form([ dbc.FormGroup([ dbc.Label("设置入库表名", html_for="table-name"), dbc.Input(id='table-name', autoComplete='off'), dbc.FormText( "表名只允许包含大小写字母、下划线或数字,且不能以数字开头,同时请注意表名是否与库中现有表重复!", color="secondary"), dbc.FormFeedback("表名合法!", valid=True), dbc.FormFeedback( "表名不合法!", valid=False, ),
PEPTIDE_TABLE_FORMAT: str = None FASTA_DATABASE_PATH: str = None GENE_EXPRESSION_TABLE: str = None PROTEIN_LOC_TABLE: str = None NEW_LINE: str = '\n' experiment: Experiment = None MAPPED_PROTEINS: Dict[str, np.ndarray] = None # define the layout of the app app.layout = html.Div([ dbc.Row(html.H1('Experimental information')), dbc.Row([ html.Div([ html.H3('Identification File '), html.Div( [ du.Upload(id='upload_ident_table', filetypes=['csv', 'pepXML', 'idXML', 'mzTab']) ], style={ 'textAlign': 'center', 'width': '600px', 'padding': '10px', 'display': 'inline-block' }) ], style={ 'width': '50%', 'display': 'inline-block' }), html.Div(id='identification_table_hidden_output', style={'display': 'none'}) ], ),