Release 0.9.1.post0 (HumanSignal#603)

* Make branch for release 0.9.1.post0 * Updating example README Making the steps a bit less error prone * Fix tutorials layout - hide weird double search * Update LSF version: add new TextArea behaviour. Update labeling config examples * Fix spaces * Update LSF build: take it from master branch * Add onSubmitCompletion in docs * Fix predict redirect to task on model page * Change version on main page in docs Co-authored-by: smoreface <[email protected]> Co-authored-by: hlomzik <[email protected]>
weixin00 · Feb 17, 2021 · ee8b6fa · ee8b6fa
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diff --git a/docs/source/guide/frontend.md b/docs/source/guide/frontend.md
@@ -101,7 +101,13 @@ You can use Label Studio Frontend separately in your own projects: just include
  userGenerate: true
  });
  LS.completionStore.selectCompletion(c.id);
+ }, 
+
+ onSubmitCompletion: function(LS, completion) {
+ // retrive a completion 
+ console.log(completion.serializeCompletion())
  }
+
  });
 </script>
  ```

diff --git a/docs/source/tutorials/dummy_model.md b/docs/source/tutorials/dummy_model.md
@@ -1,3 +1,8 @@
+---
+title:
+type: blog
+order: 10
+---
 
 ## Create the simplest Machine Learning backend
 

diff --git a/docs/source/tutorials/pytorch-image-transfer-learning.md b/docs/source/tutorials/pytorch-image-transfer-learning.md
@@ -1,3 +1,8 @@
+---
+title:
+type: blog
+order: 30
+---
 
 ## Transfer learning for images with PyTorch
 

diff --git a/docs/source/tutorials/sklearn-text-classifier.md b/docs/source/tutorials/sklearn-text-classifier.md
@@ -1,3 +1,8 @@
+---
+title:
+type: blog
+order: 20
+---
 
 ## Text classification with Scikit-Learn
 

diff --git a/docs/themes/htx/layout/partials/index.ejs b/docs/themes/htx/layout/partials/index.ejs
@@ -17,7 +17,7 @@ menu && menu.classList.add('main__page__header')
  <div class="release__info">
  <a href="/blog/release-090-data-management-improvements.html" class="release__info--inner">
  <span>New</span>
- <p>Release <span>0.9.0</span></p>
+ <p>Release <span>0.9.1.post0</span></p>
  </a>
  <p>Explore and improve your datasets!</p>
  </div>

diff --git a/label_studio/__init__.py b/label_studio/__init__.py
@@ -2,4 +2,4 @@
 package_name = 'label-studio'
 
 # Package version
-__version__ = '0.9.1'
+__version__ = '0.9.1.post0'
diff --git a/label_studio/examples/audio_transcribe/config.xml b/label_studio/examples/audio_transcribe/config.xml
@@ -1,12 +1,15 @@
 <!-- {"title": "Speech Transcription", "category": "audio", "complexity": "basic"} -->
 <View>
- <Header value="Listen to the audio and write the transcription" />
- <AudioPlus name="audio" value="$audio" />
- <TextArea name="transcription" toName="audio" editable="true"
- rows="4" transcription="true" maxSubmissions="1" />
+ <Header value="Audio transcription:"/>
+ <Audio name="audio" value="$url" height="46"/>
+ <TextArea name="answer" transcription="true"
+ toName="audio" rows="3" maxSubmissions="1"/>
 
  <Style>
+ [dataneedsupdate]{display:flex;align-items:center}
  [dataneedsupdate]>div:first-child{flex-grow:1;order:2}
  [dataneedsupdate]>div:last-child{margin-top:0 !important;margin-right:1em}
+ [dataneedsupdate] button{height:46px}
+ [dataneedsupdate] button span:nth-child(2){display:none}
  </Style>
-</View>
+</View>
diff --git a/label_studio/examples/html_dialogues/config.xml b/label_studio/examples/html_dialogues/config.xml
@@ -1,10 +1,10 @@
 <!-- {"title": "Dialogs & conversations", "category": "html", "complexity": "basic", "order": "1", "new": true} -->
 <View>
  <ParagraphLabels name="actions" toName="dialogue">
- <Label value="Inform"></Label>
- <Label value="Request"></Label>
- <Label value="Negate"></Label>
- <Label value="Affirm"></Label>
+ <Label value="Inform"/>
+ <Label value="Request"/>
+ <Label value="Negate"/>
+ <Label value="Affirm"/>
  </ParagraphLabels>
 
  <Paragraphs

diff --git a/label_studio/ml/examples/huggingface/README.md b/label_studio/ml/examples/huggingface/README.md
@@ -1,3 +1,9 @@
+---
+title:
+type: blog
+order: 50
+---
+
 If you're going to build a new chatbot, or just want to play with GPT-based text generators, this [Machine Learning backend](https://labelstud.io/guide/ml.html) is for you! Powered by [HuggingFace's Transformers library](https://github.com/huggingface/transformers), 
 it connects GPT2-like language model to Label Studio UI, giving you an opportunity to explore different text responses based on the chat history.
 

diff --git a/label_studio/ml/examples/mmdetection/README.md b/label_studio/ml/examples/mmdetection/README.md
@@ -1,3 +1,9 @@
+---
+title:
+type: blog
+order: 40
+---
+
 This [Machine Learning backend](https://labelstud.io/guide/ml.html) allows you to automatically prelabel your images with bounding boxes. It is powered by amazing [OpenMMLab MMDetection library](https://github.com/open-mmlab/mmdetection), which gives you access to many existing state-of-the-art models like FasterRCNN, RetinaNet, YOLO and others. 
 
 Check this installation guide and then play around them, pick up the best model that suits your current dataset!

diff --git a/label_studio/ml/examples/nemo/README.md b/label_studio/ml/examples/nemo/README.md
@@ -1,3 +1,9 @@
+---
+title:
+type: blog
+order: 60
+---
+
 ## Automatic Speech Recognition
 
 This an example of using [Nvidia's NeMo toolkit](https://github.com/NVIDIA/NeMo) for creating ASR/NLU/TTS pre-labels.
@@ -8,38 +14,50 @@ With ASR models, you can do audio pre-annotations drawn within a text area, aka
 
 ## Start using it
 
-1. Follow [this installation guide](https://github.com/NVIDIA/NeMo#installation) to set up NeMo environment.
+1. Follow [this installation guide](https://github.com/NVIDIA/NeMo#installation) to set up the NeMo environment.
+
+2. On the same server or Docker container as NeMo, [install Label Studio](https://labelstud.io/guide/#Quickstart). 
 
-2. Download <a href="https://github.com/heartexlabs/label-studio/tree/master/label_studio/ml/examples/nemo/asr.py">asr.py</a> from github into the current directory (or use `label_studio/ml/examples/nemo/asr.py` from LS package) and initialize Label Studio machine learning backend: 
+3. Create or download <a href="https://github.com/heartexlabs/label-studio/tree/master/label_studio/ml/examples/nemo/asr.py">asr.py</a> from Github into the current directory (or use `label_studio/ml/examples/nemo/asr.py` from the Label Studio package).
+
+4. Initialize the Label Studio machine learning backend with the ASR example: 
  ```bash
  label-studio-ml init my_model --from asr.py
  ```
 
-3. Start machine learning backend:
+5. Start the machine learning backend:
  ```bash
  label-studio-ml start my_model
  ```
  Wait until ML backend app starts on the default 9090 port.
+
+6. Start Label Studio: 
+ ```bash
+ label-studio start my_project --init
+ ```
 
-4. Open the project Settings page in Label Studio.
+7. In Label Studio, open the project Settings page.
 
-5. From the template list, select `Speech Transcription`. You can also create your own with `<TextArea>` and `<Audio>` tags. Or copy this labeling config into LS: 
+8. From the template list, select `Speech Transcription`. You can also create your own with `<TextArea>` and `<Audio>` tags. Or copy this labeling config into LS: 
  ```xml
  <View>
- <Header value="Listen to the audio and write the transcription" />
- <AudioPlus name="audio" value="$audio" />
- <TextArea name="transcription" toName="audio" editable="true"
- rows="4" transcription="true" maxSubmissions="1" />
-
+ <Header value="Audio transcription:"/>
+ <Audio name="audio" value="$url" height="46"/>
+ <TextArea name="answer" transcription="true"
+ toName="audio" rows="3" maxSubmissions="1"/>
 
  <Style>
+ [dataneedsupdate]{display:flex;align-items:center}
  [dataneedsupdate]>div:first-child{flex-grow:1;order:2}
  [dataneedsupdate]>div:last-child{margin-top:0 !important;margin-right:1em}
+ [dataneedsupdate] button{height:46px}
+ [dataneedsupdate] button span:nth-child(2){display:none}
  </Style>
  </View>
  ```
-6. Open the Model page in Label Studio.
+9. Open the Model page in Label Studio.
   > Note: The NeMo engine downloads models automatically. This can take some time and could cause Label Studio UI to hang on the Model page while the models download. 
 
-7. Add the ML backend using this address: `http:https://localhost:9090`
+10. Add the ML backend using this address: `http:https://localhost:9090`
 
+11. Import audio data and start reviewing pre-labels.
diff --git a/label_studio/static/editor/js/main.js b/label_studio/static/editor/js/main.js
diff --git a/label_studio/static/editor/js/main.js.map b/label_studio/static/editor/js/main.js.map
diff --git a/label_studio/static/editor/version.json b/label_studio/static/editor/version.json
@@ -1,6 +1,6 @@
 {
- "message": "Merge pull request #168 from heartexlabs/feature/timeseries-fixedscale\n\nAdd `fixedScale` param to TimeSeries, default off",
- "commit": "808858fe9cc17d372a89b1031c3e2e12e06ba1f3",
+ "message": "Merge pull request #169 from heartexlabs/feature/audio-transcription\n\nBetter audio transcription",
+ "commit": "7350e8c800c4d531d0a2b52a03217c7e6998789b",
  "branch": "master",
- "date": "2021-02-11T20:40:38Z"
+ "date": "2021-02-17T12:49:10Z"
 }
diff --git a/label_studio/templates/model.html b/label_studio/templates/model.html
@@ -204,7 +204,7 @@
  // stop upload wait
  function stop_wait(obj, success) {
  if (success) {
- window.location = '?task_id=' + obj[0];
+ window.location = './?task_id=' + obj[0];
  } else {
  alert(obj);
  }