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Integrate Monkey Learn with Tookan

Appy Pie Connect allows you to automate multiple workflows between Monkey Learn and Tookan

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About Monkey Learn

MonkeyLearn is a text analysis platform that helps you identify and extract actionable data from a variety of raw texts, including emails, chats, webpages, papers, tweets, and more! You can use custom tags to categorize texts, such as sentiments or topics, and extract specific data, such as organizations or keywords.

About Tookan

Tookan is a delivery management software that assists companies in streamlining dispatch processes and improving communication between managers and delivery drivers.

Tookan Integrations

Best ways to Integrate Monkey Learn + Tookan

  • Monkey Learn Integration Monkey Learn Integration

    Tookan + Monkey Learn

    Classify Text in monkeylearn when New Task is created in Tookan Read More...
    Close
    When this happens...
    Monkey Learn Integration New Task
     
    Then do this...
    Monkey Learn Integration Classify Text
  • Monkey Learn Integration Monkey Learn Integration

    Tookan + Monkey Learn

    Extract Text in monkeylearn when New Task is created in Tookan Read More...
    Close
    When this happens...
    Monkey Learn Integration New Task
     
    Then do this...
    Monkey Learn Integration Extract Text
  • Monkey Learn Integration Monkey Learn Integration

    Tookan + Monkey Learn

    Upload training Data in monkeylearn when New Task is created in Tookan Read More...
    Close
    When this happens...
    Monkey Learn Integration New Task
     
    Then do this...
    Monkey Learn Integration Upload training Data
  • Monkey Learn Integration Monkey Learn Integration

    Gmail + Monkey Learn

    Classify Text in monkeylearn when New Attachment is created in Gmail Read More...
    Close
    When this happens...
    Monkey Learn Integration New Attachment
     
    Then do this...
    Monkey Learn Integration Classify Text
  • Monkey Learn Integration Monkey Learn Integration

    Gmail + Monkey Learn

    Extract Text in monkeylearn when New Attachment is created in Gmail Read More...
    Close
    When this happens...
    Monkey Learn Integration New Attachment
     
    Then do this...
    Monkey Learn Integration Extract Text
  • Monkey Learn Integration {{item.actionAppName}} Integration

    Monkey Learn + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect Monkey Learn + Tookan in easier way

It's easy to connect Monkey Learn + Tookan without coding knowledge. Start creating your own business flow.

    Triggers
  • New Task

    Trigger when new task created.

    Actions
  • Classify Text

    Classifies texts with a given classifier.

  • Extract Text

    Extracts information from texts with a given extractor.

  • Upload training Data

    Uploads data to a classifier.

  • Add Agent

    Adds a new agent

  • Add Customer

    Create a new customer.

  • Create a Delivery Task

    Create a Delivery Task

  • Create a Pick and Delivery Task

    Create a Pick and Delivery Task.

  • Create a Pickup Task

    Creates a pick task.

  • Create an Appointment Task

    Create an Appointment Task

  • Create an FOS Workflow Task

    Create an FOS Workflow Task.

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How Monkey Learn & Tookan Integrations Work

  1. Step 1: Choose Monkey Learn as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Tookan as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Monkey Learn to Tookan.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Monkey Learn and Tookan

Monkey Learn

MonkeyLearn provides a suite of pre-trained models which can be used for text processing and classification.

Tookan

Tookan is a set of command line tops to work with MonkeyLearn API. Users can use them to create, manage and train their own models. This package also provides a number of utilities to analyse and process text data.

Integration of Monkey Learn and Tookan

First, let’s install the required software packages using pip install . The fplowing code should be run inside the python virtual environment.

pip install tookan pip install --upgrade tookan-cli pip install --upgrade monkeylearn 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 import os import json from urllib.parse import urlparse from tookan_cli import TookanCLI from tookan_cli import TOOKAN_API_KEY from tookan_cli import TOOKAN_REST_API_URL from tookan_cli import TOOKAN_ACTION from tookan_cli import TOOKAN_MODEL from tookan_cli import TOOKAN_MODEL_STATUS from tookan_cli import TOOKAN_MODEL_PREVIEW from tookan_cli import TOOKAN_MODEL_EDIT from tookan_cli import TOOKAN_MODEL_TRANSFER from tookan_cli import TOOKAN_MODEL_CREATE from tookan_cli import TOOKAN_MODEL_UPDATE from tookan_cli import TOOKAN_MODEL_DELETE from tookan_cli import TOOKAN_RESOURCE from tookan_cli import TOOKAN_RESOURCE_STATUS from tookan_cli import TOOKAN_RESOURCE_PREVIEW from tookan_cli import TOOKAN_RESOURCE_CREATE from tookan_cli import TOOKAN_RESOURCE_EDIT from tookan_cli import TOOKAN_RESOURCE_UPDATE from tookan_cli import TOOKAN_RESOURCE_DELETE from tookan_cli import TOOKAN_INPUT from tookan_cli import TOOKAN_OUTPUT from tookan_cli import TOOKAN_OUTPUTTYPE from urllib.request import buildRequest #READING THE API KEY api = TookanCLI ( . api . setApiKey ( "YOUR API KEY" , "https://api.monkeylearn.com/" . #READING REST API URL r = api . getRestApiUrl ( . #GETTING MODEL INFO (or modelId. of a model (must exists. m = api . getModelInfo ( "deeplabv2" . . get ( 'modelId' . #GETTING MODEL PREVIEW mpreview = api . getModelPreview ( "deeplabv2" . #GETTING MODEL OUTPUT (or modelResourceId. mresource = api . getModelOutput ( "deeplabv2" . #GETTING MODEL STATUS mstatus = api . getModelStatus ( "deeplabv2" . #GETTING MODEL EXPORTED RESOURCE mexport = api . getModelExport ( "deeplabv2" . #CREATING A NEW MODEL newmodel = api . createModel ( "deeplabv2" , body = { 'name' . 'Your Model Name' , 'description' . 'Your Description' , 'trainInputFields' . [ ] , 'trainOutputFields' . [ ] } , apikey = api . apikey . #UPDATING A MODEL umodel = api . updateModel ( "deeplabv2" , body = { 'name' . 'Your Model Name' , 'description' . 'Your Description' } , apikey = api . apikey . #CREATING A NEW RESOURCE resourcename = "myResource" newresource = api . createResource ( resourcename , body = { 'name' . 'My Resource Name' , 'description' . 'My Description' , 'type' . 'json' , 'targetFormat' . 'json' , 'languageCode' . 'en-us' } , apikey = api . apikey . #UPDATING A RESOURCE resourceupdate = api . updateResource ( resourcename , body = { 'name' . 'My Resource Name' } , apikey = api . apikey . #DELETING A RESOURCE resourcedelete = api . deleteResource ( resourcename , apikey = api . apikey . #GETTING EXPORTED RESOURCE exportableresourcename = "myResourceName" exportableresourceinfo = api . getExportableResource ( exportableresourcename . #GETTING EXPORTED RESOURCE EXPORTEDRESOURCEID = api . getExportableResourceId ( exportableresourcename , exportableresourceinfo [ 'internalId' ] . #GETTING EXPORTED RESOURCE OUTPUT exportedresourcenameoutput = api . getExportableResourceOutput ( exportableresourceid , exportableresourcename . #GETTING RESOURCE EXPORTED FROM EXPORTED RESOURCE OUTPUT resourcenameoutput = api . getResourceExport ( exportedresourcenameoutput [ "resourceId" ] . #GETTING EXPORTED RESOURCE STATUS resourcestatusoutput = api . getExportableResourceStatus ( exportableresourceid , output [ "resourceId" ] . #DOWNLOADED EXPORTED RESOURCE DOWNLOADEDRESOURCEFILEPATH = "Download/%s.json" % uuid . uuid4 ( . downloadresourcefilepath ( DOWNLOADEDRESOURCEFILEPATH . print ( "Downloaded resource file path:" + str ( DOWNLOADEDRESOURCEFILEPATH . . #DOWNLOADED EXPORTED RESOURCE OUTPUT UPLOADEDRESOURCEFILEPATH = "Upload/%s.json" % uuid . uuid4 ( . uploadresourcefilepath ( UPLOADEDRESOURCEFILEPATH , DOWN

The process to integrate Monkey Learn and Tookan may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.