New Crowdin translations

el-GR/meta.yml

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+---
+title: Smart assistant
+hero_image: images/banner.png
+description: Create a virtual assistant that reacts to commands
+version: 4
+listed: true
+copyedit: true
+last_tested: '2019-05-09'
+steps:
+- title: Τι θα φτιάξεις
+- title: Ρύθμιση του έργου
+- title: Example commands
+  completion:
+  - engaged
+- title: Εκπαίδευσε το μοντέλο
+- title: Create the assistant
+- title: 'Πρόκληση: περισσότερες αποφάσεις'
+  challenge: true
+- title: Confidence scores
+  completion:
+  - external

el-GR/resources/NEW smart assistant 1.srt

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+1
+00:00:04,040 --> 00:00:09,880
+Go to rpf.io/ml4k and get started.
+
+2
+00:00:09,880 --> 00:00:12,640
+Click 'Try it now'.
+
+3
+00:00:12,640 --> 00:00:16,960
+Add a new project called 'Smart assistant'.
+
+4
+00:00:16,960 --> 00:00:23,240
+Set it to recognise English text, and 
+store the data in your web browser.
+
+5
+00:00:23,240 --> 00:00:29,000
+Create the project, then 
+click on the project's name.
+
+6
+00:00:29,000 --> 00:00:29,960
+Now, click 'Train'.
+

el-GR/resources/NEW smart assistant 2.srt

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+1
+00:00:04,320 --> 00:00:06,080
+Add two new labels
+
+2
+00:00:06,080 --> 00:00:08,400
+one for fan on,
+
+3
+00:00:08,400 --> 00:00:12,760
+and one for fan off.
+
+4
+00:00:12,760 --> 00:00:18,200
+Type an example of a command 
+that should turn the fan on.
+
+5
+00:00:18,200 --> 00:00:23,240
+Then repeat until you have 
+eight different examples.
+
+6
+00:00:23,240 --> 00:00:29,960
+Now you need eight different examples 
+of commands to turn the fan off too.
+

el-GR/resources/NEW smart assistant 3.srt

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+1
+00:00:03,600 --> 00:00:10,200
+Click 'Back', then click 'Learn & Test'.
+
+2
+00:00:10,200 --> 00:00:14,720
+Click the button to start training 
+your model - it might take a while.
+
+3
+00:00:14,720 --> 00:00:18,120
+When it is done, type in a 
+command to test the model.
+
+4
+00:00:18,120 --> 00:00:29,960
+Check that your command gives 
+the result you were expecting.
+

el-GR/resources/NEW smart assistant 4.srt

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+1
+00:00:03,800 --> 00:00:12,600
+Now click 'Back' again, then click 
+'Make' to use the model in Scratch.
+
+2
+00:00:12,600 --> 00:00:20,160
+Go to 'Project templates' and select 
+the 'Smart Classroom' template.
+
+3
+00:00:20,160 --> 00:00:29,960
+Now, drag the code blocks to ask for 
+a command and turn the fan on or off.
+
+4
+00:00:38,160 --> 00:00:48,800
+You can right click and select 
+'Duplicate' to save time.
+
+5
+00:00:48,800 --> 00:00:54,240
+Now type in a command to control the fan.
+
+6
+00:00:54,240 --> 00:00:59,920
+Type another command to turn it off.
+

el-GR/resources/NEW smart assistant 5.srt

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+1
+00:00:04,120 --> 00:00:07,480
+Go back to the 'Learn & Test' page.
+
+2
+00:00:07,480 --> 00:00:11,440
+Type something that is not 
+related to lamps or fans.
+
+3
+00:00:11,440 --> 00:00:15,240
+The model should show a low 
+confidence about its prediction.
+
+4
+00:00:15,240 --> 00:00:19,520
+Go back to Scratch, and move all of 
+your 'if' statements to one side.
+
+5
+00:00:19,520 --> 00:00:26,880
+Add an 'if/else' so that your code can 
+check the model's confidence level.
+
+6
+00:00:26,880 --> 00:00:36,640
+The light or fan should only be changed 
+if the confidence level is over 70.
+
+7
+00:00:36,640 --> 00:00:46,640
+Try it out!
+

el-GR/resources/readme.txt

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+Για να παρακολουθήσεις ένα βίντεο με υπότιτλους στο VLC (videolan.org), βεβαιώσου ότι το αρχείο βίντεο και το αρχείο υποτίτλων βρίσκονται στον ίδιο φάκελο και έχουν το ίδιο ακριβώς όνομα (π.χ. video.mp4 και video.srt). Άνοιξε το βίντεο σε VLC και θα φορτώσει αυτόματα τους υπότιτλους. Εάν οι υπότιτλοι δεν εμφανίζονται, κάνε δεξί κλικ στην οθόνη του βίντεο, πήγαινε στο **Υπότιτλοι**, μετά στο **Προσθήκη αρχείου υποτίτλων** και επίλεξε το σωστό αρχείο .srt. Απόλαυσε την παρακολούθηση με υπότιτλους!

el-GR/step_1.md

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+## Τι θα φτιάξεις
+
+Create a smart virtual assistant that reacts to your commands.
+
+![A Scratch project with a fan and a light and a box to type in](images/whatyouwillmake.gif)
+
+\--- collapse ---
+
+---
+
+## title: Where are my commands stored?
+
+- Αυτό το έργο χρησιμοποιεί μια τεχνολογία που ονομάζεται «μηχανική μάθηση». Machine learning systems are trained using a large amount of data.
+- Αυτό το έργο δεν απαιτεί να δημιουργήσεις λογαριασμό ή να συνδεθείς. For this project, the examples you use to make the model are only stored temporarily in your browser (only on your machine).
+  \--- /collapse ---
+
+## --- collapse ---
+
+## title: Δεν υπάρχει πρόβαση στο YouTube; Κάνε λήψη των βίντεο!
+
+Μπορείς να [κατεβάσεις όλα τα βίντεο γι' αυτό το έργο](https://rpf.io/p/en/smart-assistant-go){:target="_blank"}.
+
+\--- /collapse ---
+
+## --- collapse ---
+
+## title: Πρόσθετες πληροφορίες για εκπαιδευτικούς
+
+This project is dual-licensed under both a [Creative Commons Attribution Non-Commercial Share-Alike License](http://creativecommons.org/licenses/by-nc-sa/4.0/){:target="_blank"} and an [Apache License Version 2.0](http://www.apache.org/licenses/LICENSE-2.0){:target="_blank"}.
+
+Θα θέλαμε να ευχαριστήσουμε τον Dale από το machinelearningforkids.co.uk για όλη τη δουλειά του σε αυτό το έργο.
+
+\--- /collapse ---

el-GR/step_2.md

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+## Ρύθμιση του έργου
+
+<html>
+  <div style="position: relative; overflow: hidden; padding-top: 56.25%;">
+    <iframe style="position: absolute; top: 0; left: 0; right: 0; width: 100%; height: 100%; border: none;" src="https://www.youtube.com/embed/aTKd6sH3PhM?rel=0&cc_load_policy=1" allowfullscreen allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"></iframe>
+  </div>
+</html>
+
+\--- task ---
+
+- Go to [machinelearningforkids.co.uk](https://machinelearningforkids.co.uk/){:target="_blank"} in a web browser.
+
+- Click on **Get started**.
+
+- Click on **Try it now**.
+
+\--- /task ---
+
+\--- task ---
+
+- Click on **Projects** in the menu bar at the top.
+
+- Click on the **+ Add a new project** button.
+
+- Name your project `Smart assistant` and set it to learn to recognise **text**, and store data **in your web browser**. Then click on **Create**.
+  ![Creating a project](images/create-project.png)
+
+- You should now see 'Smart assistant' in the projects list. Click on the project.
+  ![Project list with smart assistant listed](images/projects-list.png)
+
+\--- /task ---
+
+\--- task ---
+
+- Click on the **Train** button.
+  ![Project main menu with arrow pointing to Train button](images/project-train.png)
+
+\--- /task ---

el-GR/step_3.md

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+## Example commands
+
+<html>
+  <div style="position: relative; overflow: hidden; padding-top: 56.25%;">
+    <iframe style="position: absolute; top: 0; left: 0; right: 0; width: 100%; height: 100%; border: none;" src="https://www.youtube.com/embed/aekrXl_-Q_o?rel=0&cc_load_policy=1" allowfullscreen allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"></iframe>
+  </div>
+</html>
+
+The room has two devices: a fan and a light.
+
+![A fan and a light](images/classroom-devices.png)
+
+Your assistant needs some examples of the phrases you might say when you want each device to be turned on or off. For example, to **turn the fan on**, you might say:
+
+- "Turn on the fan"
+- "Start the fan"
+- "Please could you switch on the fan"
+- "I'm too hot"
+- "It's hot in here"
+
+\--- task ---
+
+- Click on **+ Add new label** on the top right and add the label “fan on”.
+
+\--- /task ---
+
+\--- task ---
+
+- Click on **Add example** and type in `Turn on the fan`.
+
+\--- /task ---
+
+\--- task ---
+
+- Continue to click on the **Add example** button and add different ways of asking for the fan to be turned on until you have eight different ways of asking.
+
+\--- /task ---
+
+\--- task ---
+
+- Click on **Add new label**, but this time create the label "fan off". Add eight different examples of ways you could ask for the fan to be turned off.
+
+\--- /task ---
+
+![Fan on and off categories with eight examples of commands in each](images/fan-on-and-off.png)

el-GR/step_4.md

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+## Εκπαίδευσε το μοντέλο
+
+<html>
+  <div style="position: relative; overflow: hidden; padding-top: 56.25%;">
+    <iframe style="position: absolute; top: 0; left: 0; right: 0; width: 100%; height: 100%; border: none;" src="https://www.youtube.com/embed/62B6yHRVmmg?rel=0&cc_load_policy=1" allowfullscreen allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"></iframe>
+  </div>
+</html>
+
+Now that you have some example data, you can train the machine learning model to label a command as either 'fan on' or 'fan off' based on your examples.
+
+\--- task ---
+
+- Click on the **< Back to project** link, then click on **Learn & Test**.
+
+\--- /task ---
+
+\--- task ---
+
+- Click on the **Train new machine learning model** button.
+
+\--- /task ---
+
+Wait for the training to complete — this might take a minute or two. Once the training has completed, a test box appears.
+
+\--- task ---
+
+- Type in `put the fan on` and check that the model labels this input as 'fan on'.
+  ![Type in put the fan on to see if it is recognised](images/test-model.png)
+
+\--- /task ---
+
+\--- task ---
+
+- Try typing in some other commands for turning the fan on and off, and check that they are given the label you expect.
+
+\--- /task ---
+
+If you’re not happy with how the computer recognises the commands, go back to the previous step and add some more examples. Then **train new machine learning model** again.
+
+

el-GR/step_5.md

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+## Create the assistant
+
+<html>
+  <div style="position: relative; overflow: hidden; padding-top: 56.25%;">
+    <iframe style="position: absolute; top: 0; left: 0; right: 0; width: 100%; height: 100%; border: none;" src="https://www.youtube.com/embed/R3e8nX4vKXo?rel=0&cc_load_policy=1" allowfullscreen allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"></iframe>
+  </div>
+</html>
+
+Now that your model can distinguish between commands, you can use it in a Scratch program to create your smart assistant.
+
+\--- task ---
+
+- Click on the **< Back to project** link.
+
+- Click on **Make**.
+
+- Click on **Scratch 3**.
+
+- Click on **Open in Scratch 3**.
+
+\--- /task ---
+
+\--- task ---
+
+- Click on **Project templates** at the top and select the 'Smart classroom' project to load the fan and light sprites. This project also contains pre-made yellow `broadcast` blocks, which can be found under **Events**.
+
+![Smart classroom project is selected in the Scratch templates](images/smart-classroom.png)
+
+\--- /task ---
+
+Machine Learning for Kids has added some special blocks to Scratch to allow you to use the model you just trained. Find them at the bottom of the blocks list.
+
+![New 'smart assistant' blocks shown in the menu underneath Images](images/new-blocks-menu.png)
+
+\--- task ---
+
+- Make sure you have the **Classroom** sprite selected, then click on the **Code** tab and add this code:
+
+![New scratch code: when flag clicked, forever, ask 'enter your command' and wait. If recognise text (answer) label = fan on, then broadcast turn-fan-on ](images/turn-fan-on.png)
+
+\--- /task ---
+
+\--- task ---
+
+- Right click on the `if` block and select **Duplicate** to add a copy of the whole block of code, and put it directly underneath the first `if`.
+
+- Change the second copy of the block so that it recognises the text for turning the fan **off**, and broadcasts **turn-fan-off**.
+
+![New scratch code: If recognise text (answer) label = fan off, then broadcast turn-fan-off](images/turn-fan-off.png)
+
+\--- /task ---
+
+\--- task ---
+
+- Click the **green flag** and type in a command to turn the fan on or off. Check that it has the result you expected.
+
+- Make sure you test that the assistant performs the correct action **even for commands that you didn’t include as examples**.
+
+\--- /task ---