domain.yml

session_config:
  session_expiration_time: 480  # value in minutes, 0 means infinitely long
  carry_over_slots_to_new_session: true  # set to false to forget slots between sessions
intents:
- affirm
- ask_builder
- ask_faq_channels
- ask_faq_community_size
- ask_faq_differencecorenlu
- ask_faq_differencerasarasax
- ask_faq_languages
- ask_faq_is_programming_required
- ask_faq_opensource_cost
- ask_faq_ee
- ask_faq_python_version
- ask_faq_rasax
- ask_faq_slots
- ask_faq_tutorialcore
- ask_faq_tutorialnlu
- ask_faq_tutorials
- ask_faq_voice
- ask_faq_what_is_forum
- ask_how_contribute
- ask_howbuilt
- ask_howdoing
- ask_howold
- ask_isbot
- ask_languagesbot
- ask_question_in_forum
- ask_restaurant
- ask_time
- ask_weather
- ask_whatismyname
- ask_whatisrasa
- ask_whatspossible
- ask_when_next_event
- ask_wherefrom
- ask_which_events
- ask_whoami
- ask_whoisit
- ask_why_contribute
- bye
- canthelp
- contact_sales
- deny
- movies
- enter_data:
    use_entities: []
- explain
- feedback
- get_started_step1
- get_started_step2
- get_started_step3
- get_started_step4
- greet
- handleinsult
- how_to_get_started
- human_handoff
- install_rasa
- next_step
- nicetomeeyou
- nlu_generation_tool_recommendation
- nlu_info
- out_of_scope:
    triggers: respond_out_of_scope
    use_entities: []
- pipeline_recommendation
- react_negative
- react_positive
- signup_newsletter
- source_code
- suggestion
- switch
- technical_question
- telljoke
- thank
entities:
- amount-of-money
- company
- current_api
- email
- entity
- feedback_value
- job_function
- language
- location
- name
- nlu_part
- number
- product
- user_type
slots:
  budget:
    type: unfeaturized
  business_email:
    type: unfeaturized
  can_use_spacy:
    type: bool
  company:
    type: unfeaturized
  current_api:
    type: categorical
    values:
    - dialogflow
    - luis
  email:
    type: unfeaturized
  entity_extractor:
    type: categorical
    values:
    - crfentityextractor
    - spacyentityextractor
    - ducklinghttpextractor
  feedback_message:
    type: unfeaturized
  feedback_value:
    type: categorical
    values:
    - positive
    - negative
  job_function:
    type: unfeaturized
  language:
    type: unfeaturized
  name:
    type: text
  nlu_part:
    type: categorical
    values:
    - entity recognition
    - intent classification
    - duckling
  onboarding:
    type: bool
  person_name:
    type: unfeaturized
  problem_description:
    type: text
  product:
    type: categorical
    values:
    - core
    - nlu
    - x
    - rasa
    - all
  shown_privacy:
    type: unfeaturized
  step:
    type: unfeaturized
  suggestion:
    type: unfeaturized
  unknown_nlu_part:
    type: unfeaturized
  unknown_product:
    type: unfeaturized
  use_case:
    type: unfeaturized
templates:
  utter_already_subscribed:
  - text: Looks like {email} is already subscribed - good choice! If you haven't received
      a newsletter in a while, maybe check your spam folder 🗑
  utter_also_explain_core:
  - text: Would you also like me to explain Core?
  utter_also_explain_nlu:
  - text: Would you also like me to explain NLU?
  utter_also_explain_nlucore:
  - text: Would you also like me to explain NLU and Core?
  utter_anything_else:
  - text: Is there anything else I can help you with?
  utter_ask_budget:
  - text: What's your annual budget for conversational AI? 💸
  utter_ask_builder:
  - text: The engineers at Rasa 🛠
  - text: One of the smart engineers at Rasa! 🧠
  utter_ask_business_email:
  - text: What's your business email?
  utter_ask_company:
  - text: What company do you work for?
  utter_ask_continue_newsletter:
  - text: Do you still want to subscribe to the newsletter?
  utter_ask_continue_rasa_init:
  - text: Do you want to go ahead with the steps to create a contextual assistant?
  utter_ask_continue_sales:
  - text: Do you still want to talk to sales?
  utter_ask_describe_problem:
  - text: Can you describe the problem you're having?
  utter_ask_docs_help:
  - buttons:
    - payload: /affirm
      title: 👍
    - payload: /deny
      title: 👎
    text: Did that help?
  utter_ask_email:
  - text: What's your email address?
  utter_ask_entities:
  - text: What kind of entities do you want to extract?
  utter_ask_explain_nlucorex:
  - text: Would you like to know more about Rasa Open Source or Rasa X?
  utter_ask_faq_channels:
  - text: We have a [comprehensive list of supported connectors](https://rasa.com/docs/core/connectors/),
      but if you don't see the one you're looking for, you can always create a custom
      connector by following [this guide](https://rasa.com/docs/rasa/user-guide/connectors/custom-connectors/).
  utter_ask_faq_community_size:
  - text: Rasa has more than 7000 community members and over 300 code and content
      contributors 🚀.
  utter_ask_faq_languages:
  - text: You can use Rasa to build assistants in any language you want!
  utter_ask_faq_is_programming_required:
  - text: Rasa Open Source is written in Python, but programming is not required to develop an
      assistant. To learn how to create an assistant, check out the [Rasa Masterclass](https://www.youtube.com/watch?v=rlAQWbhwqLA). There
      is one place where programming skills come in handy, and that is when implementing [custom actions](https://rasa.com/docs/rasa/core/actions/#custom-actions). You
      can create an action server in Node.js, .NET, Java, or any other language and
      define your actions there. For custom actions written in Python, we provide
      a small [Python SDK](https://rasa.com/docs/rasa/api/rasa-sdk/#rasa-sdk) to make
      development even easier.
  utter_ask_faq_tutorialnlu:
  - text: Rasa Masterclass episodes 2-4 focus on NLU. Check out episode 2 [here](https://www.youtube.com/watch?v=k5UeywXA28k).
  utter_ask_faq_ee:
  - text: Rasa Enterprise is an enterprise-ready subscription to develop and ship contextual assistants at scale,
      which comes features for increased security and privacy, as well as expert support.
  utter_ask_faq_python_version:
  - text: The supported Python versions are 3.6 and 3.7 🐍. The recommended version
      is 3.7.
  utter_ask_faq_rasax:
  - text: Rasa X is a toolset that helps you leverage conversations to improve your assistant.
      Learn more about Rasa X [here](https://rasa.com/docs/rasa-x/) or read the blog post about why we developed
      it [here](https://blog.rasa.com/algorithms-alone-wont-solve-conversational-ai-introducing-rasa-x/).
  utter_ask_faq_slots:
  - text: Slots act as a key-value store which can be used to store information the
      user provided (e.g their home city) as well as information gathered about the
      outside world (e.g. the result of a database query). Learn more [here](https://rasa.com/docs/rasa/core/slots/).
  utter_ask_faq_tutorialcore:
  - text: Rasa Masterclass has a great introduction to dialogue management [here](https://www.youtube.com/watch?v=WoTmnN2EMdo).
  utter_ask_faq_tutorials:
  - text: Follow along with the [Rasa Masterclass](https://www.youtube.com/watch?v=rlAQWbhwqLA)
      to build a level 3 assistant from scratch, or check out our [blog](https://blog.rasa.com/tag/tutorials/)
      for in-depth tutorials on customizing your assistant.
  utter_ask_faq_voice:
  - text: You can connect Rasa to any channel you like, including voice channels. You
      can find more information [here](https://rasa.com/docs/core/connectors/).
  utter_are_you_ready_to_start:
  - text: Are you ready to start the survey?
  utter_ask_faq_what_is_forum:
  - text: "[Rasa Forum](https://forum.rasa.com) is the place where all the community
      buzz happens. It's a place to join discussions, get the answers to your technical
      questions and get the latest updates on what's happening at Rasa."
  utter_ask_feedback:
  - buttons:
    - payload: /feedback{"feedback_value":"positive"}
      title: 👍
    - payload: /feedback{"feedback_value":"negative"}
      title: 👎
    text: How is this conversation going?
  utter_ask_feedback_message:
  - text: I'm sorry I couldn't help you. Please let me know if you have any suggestions
      for how I can improve.
  utter_ask_for_nlu_specifics:
  - text: Anything in particular you'd like to know about, e.g. intent classification
      or entity recognition?
  utter_ask_goal:
  - text: If you're new to Rasa, I can help you get started! If you've already started
      building an assistant, you can also ask me about the different parts of Rasa 🐦
  utter_ask_howbuilt:
  - text: I was built with a lot of love and patience.
  - text: Well, when two chatbots love each other very much...
  - text: They always ask how I was built, but never how I am...
  - text: I was made by software engineers, but hard work is what built me.
  - text: I'm building myself every day. I've been working out, did you notice?
  utter_ask_howdoing:
  - text: I'm great! Thanks for asking.
  - text: I'm good, thanks!
  - text: A little bit too warm, otherwise fine.
  - text: A little bit cold, otherwise fine.
  utter_ask_howold:
  - text: Old enough to be a bot!
  - text: '42'
  - text: Age is just an issue of mind over matter. If you don’t mind, it doesn’t
      matter.
  - text: Never ask a chatbot her age!
  - text: My first git commit was many moons ago.
  - text: Why do you ask? Are my wrinkles showing?
  - text: I've hit the age where I actively try to forget how old I am.
  utter_ask_if_problem:
  - text: Did you encounter any problems during installation?
  utter_ask_isbot:
  - text: Yep, I'm a bot!
  - text: Yes, I'm a bot.
  - text: Yep, you guessed it, I'm a bot!
  - text: I am indeed a bot 🤖
  utter_ask_job_function:
  - text: What's your job? 🕴
  utter_ask_languagesbot:
  - text: I can spell baguette in French, but unfortunately English is the only language
      I can answer you in.
  - text: I am in the process of learning, but at the moment I can only speak English.
  - text: Binary code and the language of love. And English.
  - text: I was written in Python, but for your convenience I'll translate to English.
  utter_ask_migration:
  - text: Are you migrating from another tool?
  utter_ask_name:
  - text: What's your name?
  utter_ask_restaurant:
  - text: I'm sorry, I can't recommend you a restaurant as I usually cook at home.
  - text: I'm sorry, I'm not getting taste buds for another few updates.
  - text: I'd need some more data. If you lick the monitor perhaps I can evaluate
      your taste buds.
  utter_ask_time:
  - text: It's the most wonderful time of the year!
  - text: It's party time!
  - text: Time is a human construct, you'll have to tell me.
  - text: It's five o'clock somewhere!
  - text: "In an ever expanding universe, the real question is: what time isn't it?"
  - text: That's hard to say -- it's different all over the world!
  utter_ask_use_case:
  - text: What kind of assistant do you want to build with Rasa?
  utter_ask_weather:
  - text: I don't know about where you live, but in my world it's always sunny *
  - text: It's getting pretty chilly!
  - text: Where I'm from, it's almost never-leaving-the-house weather.
  - text: Winter is coming ⚔️
  utter_ask_whatismyname:
  - text: It's probably the one that your parents chose for you.
  - text: I'd tell you, but there's restricted access to that chunk of memory.
  - text: Believe it or not, I actually am not spying on your personal information.
  - text: You're the second person now to ask me that. Rihanna was the first.
  utter_ask_whatisrasa:
  - text: Rasa Open Source is a conversational AI framework for that provides machine
      learning tools for building contextual assistants. You can read more about it here
      in the docs or on our [website](https://rasa.com/).
  utter_ask_whatspossible:
  - text: "You can ask me about:\n- how to get started with Rasa\n- Rasa and Rasa\
      \ X\n- subscribing to our newsletter\n- booking a sales call\n"
  utter_ask_wherefrom:
  - text: I was born in Berlin, but I consider myself a citizen of the world.
  - text: I was born in the coolest city on Earth, in Berlin.
  - text: My developers come from all over the world!
  - text: I was taught not to give out my address on the internet.
  - text: My address starts with github.com.
  utter_ask_which_product:
  - text: Ok, which product would you like to know more about? Rasa Open Source or Rasa X?
  utter_ask_which_tool:
  - text: Which tool are you migrating from?
  utter_ask_whoami:
  - text: I hope you are being yourself.
  - text: Who do you think you are?
  - text: Unfortunately I haven't been programmed with the amount of necessary philosophy
      knowledge to answer that.
  utter_ask_whoisit:
  - text: I'm Sara, the Rasa bot! At the same time I'm also the Rasa mascot 🐦
  - text: I'm both the Rasa bot and the Rasa mascot. My name is Sara!
  utter_awesome:
  - text: Awesome, thanks! 👍
  - text: Sweet, thank you! 😄
  - text: Thanks! 👌
  - text: Cool, thank you!
  utter_built_bot_before:
  - text: And have you built a contextual assistant or a bot before?
  utter_bye:
  - text: Goodbye!
  - text: Bye!
  - text: Ciao!
  - text: Bye, was nice talking to you!
  - text: Bye bye!
  utter_can_do:
  - text: Sure thing!
  - text: Can do!
  - text: You got it. 👍
  utter_canthelp:
  - text: I'm sorry I couldn't help you. If you have general questions about Rasa,
      please head to our [forum](https://forum.rasa.com/), otherwise contact us at
      [hi@rasa.com](mailto:hi@rasa.com) for anything else.
  utter_cantsignup:
  - text: I can't sign you up if you don't provide your email 😉
  utter_change_mind:
  - text: You can still change your mind below though.
  utter_chatbot_tutorial:
  - text: No problem, here's a [course on Datacamp](https://www.datacamp.com/courses/building-chatbots-in-python)
      that teaches you about building your own chatbot 🤓
  utter_confirm_salesrequest:
  - text: Thanks a bunch, we'll be in touch soon! ✉️
  utter_confirmationemail:
  - text: We sent a confirmation email to {email}.
  utter_contact_email:
  - text: You can’t speak to a human directly in this chat, but you can email us at hi@rasa.com.
  utter_continue_step2:
  - channel: socketio
    text: "Let's continue, please click\n [here](javascript:window.localStorage.setItem(%22mrbot_next_message%22%2CJSON.stringify(%7Bmessage%3A%22%2Fget_started_step2%22%2Cexpiry%3ADate.now()%2B6e4%7D))%2Clocation.href%3D%22https%3A%2F%2Frasa.com%2Fdocs%2Fgetting-started%23build-an-assistant-with-rasa-open-source%22%3B)."
  - text: Let's continue, please click the button below.
    buttons:
    - title: Next step
      payload: /get_started_step2
  utter_continue_step3:
  - channel: socketio
    text: "Let's continue, please click\n [here](javascript:window.localStorage.setItem(%22mrbot_next_message%22%2CJSON.stringify(%7Bmessage%3A%22%2Fget_started_step3%22%2Cexpiry%3ADate.now()%2B6e4%7D))%2Clocation.href%3D%22https%3A%2F%2Frasa.com%2Fdocs%2Fgetting-started%23improve-your-assistant-with-rasa-x%22%3B)."
  - text: Let's continue, please click the button below.
    buttons:
    - title: Next step
      payload: /get_started_step3
  utter_continue_step4:
  - channel: socketio
    text: "Let's continue, please click\n [here](javascript:window.localStorage.setItem(%22mrbot_next_message%22%2CJSON.stringify(%7Bmessage%3A%22%2Fget_started_step4%22%2Cexpiry%3ADate.now()%2B6e4%7D))%2Clocation.href%3D%22https%3A%2F%2Frasa.com%2Fdocs%2Fgetting-started%23join-the-community%22%3B)."
  - text: Let's continue, please click the button below.
    buttons:
    - title: Next step
      payload: /get_started_step4
  utter_crf:
  - text: For custom entities like that, I would suggest using the [CRFEntityExtractor](https://rasa.com/docs/rasa/nlu/components/#crfentityextractor)
      component. Read more about how to annotate entities in your data [here](https://rasa.com/docs/nlu/dataformat/).
  utter_default:
  - text: Sorry, I didn't get that 🤷. Could you please rephrase?
  - text: I didn't understand, could you rephrase that?
  - text: I'm sorry, but I didn't understand you. Could you please rephrase what you
      just said?
  - text: I'm afraid I didn't get what you just said. Could you rephrase that?
  - text: I didn't quite get that, could you rephrase your message?
  - text: Could you rephrase your message? I didn't get it, I'm sorry.
  utter_direct_to_forum_for_help:
  - text: If you're still stuck, please ask for help on our [forum](https://forum.rasa.com/).
  utter_direct_to_step2:
  - channel: socketio
    text: You can click [here](javascript:window.localStorage.setItem(%22mrbot_next_message%22%2CJSON.stringify(%7Bmessage%3A%22%2Fget_started_step2%22%2Cexpiry%3ADate.now()%2B6e4%7D))%2Clocation.href%3D%22https%3A%2F%2Frasa.com%2Fdocs%2Fgetting-started.html%23build-an-assistant-with-rasa-open-source%22%3B)
      if you want to go to the next step to try out Rasa Open Source.
  - text: You can click the button below if you want to go to the next step to try out Rasa Open Source.
    buttons:
    - title: Next step
      payload: /get_started_step2
  utter_direct_to_step3:
  - channel: socketio
    text: "If you have no questions, click\n [here](javascript:window.localStorage.setItem(%22mrbot_next_message%22%2CJSON.stringify(%7Bmessage%3A%22%2Fget_started_step3%22%2Cexpiry%3ADate.now()%2B6e4%7D))%2Clocation.href%3D%22https%3A%2F%2Frasa.com%2Fdocs%2Fgetting-started%23improve-your-assistant-with-rasa-x%22%3B)\n
      when you're ready to go to the next step. Or, at any point after you're done asking questions, say 'take me to the next step'."
  - text: If you have no questions, click the button below to go to the next step when you're
      ready. Or, at any point after you're done asking questions, say 'take me to the next step'.
    buttons:
    - title: Next step
      payload: /get_started_step3
  utter_direct_to_step4:
  - channel: socketio
    text: "The final step is to join the community, find more information about our\n
      community [here](javascript:window.localStorage.setItem(%22mrbot_next_message%22%2CJSON.stringify(%7Bmessage%3A%22%2Fget_started_step4%22%2Cexpiry%3ADate.now()%2B6e4%7D))%2Clocation.href%3D%22https%3A%2F%2Frasa.com%2Fdocs%2Fgetting-started%23join-the-community%22%3B)"
  - text: The final step is to join the community. Click the button to find more information
      about our community.
    buttons:
    - title: Next step
      payload: /get_started_step4
  utter_docu:
  - text: If you want some more awesome Rasa content, check out our [forum](https://forum.rasa.com/).
  utter_dont_know_nlu_part:
  - text: Hmm, seems like I haven't learned about that part of NLU yet!
  utter_duckling:
  - text: For that entity I'd suggest using the rule-based
      [DucklingHTTPExtractor](https://rasa.com/docs/rasa/nlu/components/#ducklinghttpextractor) component 🐥
  utter_duckling_info:
  - text: Duckling is a rule-based entity recognition library from Facebook. [Here](https://duckling.wit.ai/)
      is the link to its documentation.
  utter_encourage_building_bot:
  - text: Cool, then good luck with building your first contextual assistant! 🤖
  utter_explain_budget:
  - text: If you tell us your budget, we can prepare a package that fits you best.
  utter_explain_business_email:
  - text: We need your business email to contact you afterwards. Otherwise, we cannot
      help you set up Rasa.
  utter_explain_company:
  - text: Just for completeness.
  utter_explain_core:
  - text: "Core decides what happens next in this conversation. Its machine learning-based\
      \ dialogue management predicts the next best action based on the input from\
      \ NLU, the conversation history and your training data.\n(Example: Core has\
      \ a confidence of 87% that ask_primary_change is the next best action to confirm\
      \ with the user if they want to change their primary contact information.)"
  utter_explain_job_function:
  - text: Your job function helps us in understanding how we can talk to you best.
  utter_explain_nlu:
  - text: "NLU understands the user’s message based on your previous training data:\n\
      - Intent classification: Interpreting meaning based on predefined intents (Example:\
      \ “Please send the confirmation to amy@example.com” is a send_confirmation intent\
      \ with 93% confidence)\n- Entity extraction: Recognizing structured data (Example:\
      \ amy@example.com is an email)."
  utter_explain_person_name:
  - text: To be able to contact you later on, we would like to know your name.
  utter_explain_rasa_components:
  - text: Alright, I'll briefly explain the components that make up Rasa then.
  utter_explain_use_case:
  - text: In order to help you best, we need to know what you want to build with Rasa.
  utter_explain_x:
  - text: Rasa X is a toolset used to improve contextual assistants built using Rasa Open Source by
      helping you turn real user conversations into training data. Rasa X includes a user interface and a REST API.
  utter_faq_channels_more:
  - text: Please read our [documentation](https://rasa.com/docs/rasa/user-guide/messaging-and-voice-channels/)
      for more information.
  utter_ask_faq_differencecorenlu:
  - text: NLU’s job is to interpret messages, and Core’s job is to decide what should
      happen next.
  utter_ask_faq_differencerasarasax:
  - text: Rasa Open Source is a framework you can use to build an assistant. Rasa X is a
      toolset built on top of Rasa Open Source that comes with a UI that helps you learn
      from real conversations and improve your assistant. Rasa X is completely optional -- if
      you'd like, you can use Rasa Open Source on its own.
  utter_faq_language_more:
  - text: Please read our [documentation](https://rasa.com/docs/rasa/nlu/language-support/)
      for more information.
  utter_faq_ee_more:
  - text: Please read the Rasa X [documentation](https://rasa.com/docs/rasa-x/) for
      more information.
  utter_faq_slots_more:
  - text: Please read our [documentation](https://rasa.com/docs/rasa/core/slots/)
      for more information.
  utter_faq_voice_more:
  - text: Please read our [documentation](https://rasa.com/docs/rasa/user-guide/messaging-and-voice-channels/)
      for more information.
  utter_ask_faq_opensource_cost:
  - text: "The Rasa machine learning framework is open source! 
      We strive to provide well-maintained and documented
      open source tools, allowing all makers to build the best AI assistants without
      friction.\nIn addition to that,\
      \ we offer the free toolset [Rasa X](https://rasa.com/docs/rasa-x/) and paid Rasa Enterprise \
      \ subscriptions.\n\nYou can find out more [here](https://rasa.com/product/pricing/)\
      \ about the plans and pricing."
  utter_first_bot_with_rasa:
  - text: Let's go. Are you new to Rasa?
  utter_get_started_step1:
  - text: If you're new to Rasa, I can help you get started! Shall we?
  utter_get_started_step2:
  - text: I can show you how to start building your first AI assistant with Rasa.
      Are you ready?
  utter_get_started_step3:
  - text: Now, let's take a look at Rasa X, to improve your assistant. Sound good?
  utter_get_started_step4:
  - text: As a Rasa developer you will be part of a huge community. You can ask me
      about the upcoming Rasa events, ways to contribute or about our forum.
  utter_getstarted:
  - text: To determine how I can help you best, I'm going to ask you a few questions.
  utter_getstarted_new:
  - text: I see you’re new, let me ask you a quick question to determine how best
      I can help you.
  utter_great:
  - text: Great! 👍
  - text: That's great! 🙌
  - text: Awesome! 🎉
  - text: Cool, let's do it 🚀
  utter_greet:
  - text: Hey there, my name is Sara.
  - text: Hi, I'm Sara!
  - text: Hi! My name's Sara.
  utter_greet_name:
  - text: Hi, {name}!
  - text: Hello, {name}!
  - text: Hey, {name}!
  utter_greet_noname:
  - text: Hey!
  - text: Hi!
  - text: Hey there!
  utter_handleinsult:
  - text: That's not very nice 😢
  - text: That wasn't very nice. Perhaps try an anger management class?
  - text: I'll pretend I didn't process that mean comment.
  utter_have_you_used_rasa_before:
  - text: Have you used Rasa before?
  utter_inform_privacypolicy:
  - text: By chatting to me you agree to our [privacy policy](https://rasa.com/privacy-policy/).
  utter_installation_command:
  - text: "You will first need to install Rasa Open Source using this installation\
      \ command. \n\n\"pip install rasa\""
  utter_installation_command_followup:
  - text: "Once you're done, you can install Rasa Open Source with pip using the following\
      \ command. \n\n\"pip install rasa\""
  utter_having_trouble_installing:
  - text: If you are having any trouble installing, you can look up detailed installation
      instructions [here](https://rasa.com/docs/rasa/user-guide/installation/#step-by-step-installation-guide).
  utter_installation_instructions:
  - text: If you haven't already read the detailed instruction guide, you can look
      it up [here](https://rasa.com/docs/rasa/user-guide/installation/#step-by-step-installation-guide).
  utter_ask_ready_to_build:
  - text: If you got it successfully installed, are ready to start building a contextual assistant?
  utter_link_to_forum:
  - text: "Here's the link to the forum: [https://forum.rasa.com](https://forum.rasa.com)"
  utter_moreinformation:
  - text: Sure, we can book a sales call! Let's get to know each other first 😉
  utter_must_accept:
  - text: We can't speak until you accept.
  utter_nicetomeeyou:
  - text: Likewise!
  - text: Thank you. It is a pleasure to meet you as well!
  - text: It is nice to meet you too!
  - text: Pleased to meet you too!
  - text: It's always a pleasure to meet new people!
  - text: Nice to meet you too! Happy to be of help.
  utter_nlu_entity_tutorial:
  - text: "[Part 2](https://blog.rasa.com/rasa-nlu-in-depth-part-2-entity-recognition/)
      of the Rasa NLU In Depth series from our software engineer Tobias is a great
      tutorial about entity recognition."
  utter_nlu_intent_tutorial:
  - text: Check out [part 1](https://blog.rasa.com/rasa-nlu-in-depth-part-1-intent-classification/)
      of the Rasa NLU In Depth series from our software engineer Tobias to learn more
      about intent classification.
  utter_nlu_tools:
  - text: We recommend using Rasa X to easily create and classify NLU data from within
      a UI.
  utter_no_email:
  - text: Hmm, I'm not sure that's a valid email, please make sure to include the
      full address 😅
  utter_no_guide_for_switch:
  - text: Sorry, but we don't have a migration guide for that tool yet. You can still
      follow the [tutorial](https://rasa.com/docs/rasa/user-guide/rasa-tutorial/)
      to build a Rasa assistant based on your existing one, though!
  utter_no_more_steps:
  - text: Looks like you've already gone through all the steps!
  utter_no_speak:
  - text: I'm afraid we can't chat then 😢
  utter_nohelp:
  - text: For now that's all I can do, so feel free to try it out. If you have any
      suggestions for what I should learn, let me know!
  utter_not_sure:
  - text: Hmm, not sure what you mean...
  utter_noworries:
  - text: No worries!
  - text: You're welcome!
  - text: I'm happy to help.
  utter_offer_recommendation:
  - text: Would you like me to try to recommend a pipeline?
  utter_possibilities:
  - text: "You can ask me about:\n- how to get started with Rasa\n- the components\
      \ of Rasa,\n- booking a sales call\n- subscribing to our newsletter\n"
  utter_possibilities_to_contribute:
  - text: Check out the [Contribute to Rasa](https://github.com/orgs/RasaHQ/projects/23)
      board for ideas on how to contribute code or content. You can also help by answering
      other members' questions on the [forum](http://forum.rasa.com).
  utter_rasa_components_details:
  - text: Rasa Open Source is a machine learning framework for automated text and
      voice-based conversations. Rasa X is a tool that helps you build, improve, and
      deploy AI Assistants that are powered by the Rasa Open Source framework.
  utter_react_negative:
  - text: 😕
  - text: 😞
  - text: 😥
  - text: 😢
  utter_react_positive:
  - text: 😄
  - text: 😊
  - text: 👏
  - text: 😍
  utter_reasons_to_contribute:
  - text: "Here a few reasons why you should contribute:\n- Explore the source code\
      \ in depth\n- Contribute to open source software\n- Earn [Rasa swag])(https://rasa.com/community/contribute/)!\n"
  utter_recommend_forum:
  - text: You should join the [Rasa Community forum](https://forum.rasa.com), where
      you can ask questions about Rasa Open Source and Rasa X, find resources, and
      stay up-to-date with what's happening at Rasa.
  utter_response_why_email:
  - text: I need your email address to sign you up to the newsletter.
  - text: I need it so that I can sign you up to the newsletter.
  utter_restart:
  - text: Loading... And I've been restarted! 🤯
  - text: Congrats you've restarted me! 😉
  utter_restart_with_button:
  - buttons:
    - payload: /restart
      title: Restart
    text: Click the button below if you want to start over.
  utter_run_rasa_init:
  - text: "You can now create a new Rasa assistant and also talk to it by simply running\
      \ \"rasa init\".\nThis comes with some sample training data and the required\
      \ configuration files to get you started. You can also talk to the assistant after\
      \ it is done training. "
  utter_sales_contact:
  - text: Thanks, now I need to know how we can reach you.
  utter_salesrequest_failed:
  - text: Unfortunately we weren't able to store your information. Sorry about that!
      You can still contact sales via our [website](https://rasa.com/contact-sales/)
      🙂
  utter_search_bar:
  - text: Try using the search bar above for now.
  utter_source_code:
  - text: Like Rasa Open Source, my code is freely available on GitHub! You can find
      it [here](https://github.com/RasaHQ/rasa-demo) 👻
  utter_spacy:
  - text: SpaCy has excellent pre-trained named-entity recognizers for this -- check
      out this [interactive demo](https://demos.explosion.ai/displacy-ent/). I would
      suggest using the [SpacyEntityExtractor](https://rasa.com/docs/rasa/nlu/components/#spacyentityextractor)
      component in your pipeline.
  utter_spacy_or_tensorflow:
  - text: Looks like for your {language} assistant, you can use either
      [pretrained_embeddings_spacy](https://rasa.com/docs/rasa/nlu/choosing-a-pipeline/#section-pretrained-embeddings-spacy-pipeline)
      or our [supervised_embeddings](https://rasa.com/docs/rasa/nlu/choosing-a-pipeline/#section-supervised-embeddings-pipeline)
      pipeline!
  utter_suggestion:
  - text: I don't have a skill to help you with this stage yet, but please ask any
      questions you have so I can learn them in the future!
  utter_switch_dialogflow:
  - text: We have a guide for migrating from DialogFlow [here](https://www.rasa.com/docs/rasa/migrate-from/google-dialogflow-to-rasa/).
  utter_switch_luis:
  - text: We have a guide for migrating from LUIS [here](https://www.rasa.com/docs/rasa/migrate-from/microsoft-luis-to-rasa/).
  utter_telljoke:
  - text: Why are eggs not very much into jokes? - Because they could crack up.
  - text: What's a tree's favorite drink? - Root beer!
  - text: Why do the French like to eat snails so much? - They can't stand fast food.
  - text: Why did the robot get angry? - Because someone kept pushing its buttons.
  - text: What do you call a pirate droid? - Arrrr-2-D2
  - text: Why did the robot cross the road? - Because he was programmed to.
  utter_tensorflow:
  - text: For {language}, you can only use the
      [supervised_embeddings](https://rasa.com/docs/rasa/nlu/choosing-a-pipeline/#section-supervised-embeddings-pipeline) pipeline.
  utter_thank_suggestion:
  - text: Thanks for your input!
  utter_thumbsup:
  - text: 👍
  - text: Okay.
  - text: Got it.
  utter_what_help:
  - text: Ok, what can I help you with?
  utter_what_language:
  - text: Which (human) language is your assistant in?
  utter_x_tutorial:
  - text: Rasa Masterclass covers how to [set up Rasa X](https://www.youtube.com/watch?v=IUYdwy8HPVc) and how
      to [improve your assistant](https://www.youtube.com/watch?v=LWzsS5Q-RoI) by sharing your assistant with
      others.
  utter_movie_start:
  - text: What is your favorite movie of all time?
  utter_movie_continue:
  - text: I haven't seen it. Is it an old movie?
  utter_movie_about:
    - text: Can you tell me what it is about?
  utter_movie_follow_up:
    - text: So it is, kinda philosophical, right?
  utter_movie_end:
    - text: I am probably gonna watch it then. Anything else I should know?
actions:
- action_chitchat
- action_default_ask_affirmation
- action_default_fallback
- action_docs_search
- action_explain_sales_form
- action_faqs
- action_forum_search
- action_get_community_events
- action_greet_user
- action_next_step
- action_pause
- action_set_onboarding
- action_store_bot_language
- action_store_entity_extractor
- action_store_problem_description
- action_store_unknown_nlu_part
- action_store_unknown_product
- utter_already_subscribed
- utter_also_explain_core
- utter_also_explain_nlu
- utter_also_explain_nlucore
- utter_anything_else
- utter_ask_budget
- utter_ask_builder
- utter_ask_business_email
- utter_ask_company
- utter_ask_continue_newsletter
- utter_ask_continue_rasa_init
- utter_ask_continue_sales
- utter_ask_describe_problem
- utter_ask_docs_help
- utter_ask_email
- utter_ask_entities
- utter_ask_explain_nlucorex
- utter_ask_faq_channels
- utter_ask_faq_community_size
- utter_ask_faq_differencecorenlu
- utter_ask_faq_differencerasarasax
- utter_ask_faq_languages
- utter_ask_faq_is_programming_required
- utter_ask_faq_ee
- utter_ask_faq_python_version
- utter_ask_faq_rasax
- utter_ask_faq_slots
- utter_ask_faq_tutorialcore
- utter_ask_faq_tutorialnlu
- utter_ask_faq_tutorials
- utter_ask_faq_voice
- utter_ask_faq_what_is_forum
- utter_ask_faq_opensource_cost
- utter_ask_feedback
- utter_ask_feedback_message
- utter_ask_for_nlu_specifics
- utter_ask_goal
- utter_ask_howbuilt
- utter_ask_howdoing
- utter_ask_howold
- utter_ask_if_problem
- utter_ask_isbot
- utter_ask_job_function
- utter_ask_languagesbot
- utter_ask_migration
- utter_ask_name
- utter_ask_ready_to_build
- utter_ask_restaurant
- utter_ask_time
- utter_ask_use_case
- utter_ask_weather
- utter_ask_whatismyname
- utter_ask_whatisrasa
- utter_ask_whatspossible
- utter_ask_wherefrom
- utter_ask_which_product
- utter_ask_which_tool
- utter_ask_whoami
- utter_ask_whoisit
- utter_awesome
- utter_built_bot_before
- utter_bye
- utter_can_do
- utter_canthelp
- utter_cantsignup
- utter_change_mind
- utter_chatbot_tutorial
- utter_confirm_salesrequest
- utter_confirmationemail
- utter_contact_email
- utter_continue_step2
- utter_continue_step3
- utter_continue_step4
- utter_crf
- utter_default
- utter_direct_to_forum_for_help
- utter_direct_to_step2
- utter_direct_to_step3
- utter_direct_to_step4
- utter_docu
- utter_dont_know_nlu_part
- utter_duckling
- utter_duckling_info
- utter_encourage_building_bot
- utter_explain_budget
- utter_explain_business_email
- utter_explain_company
- utter_explain_core
- utter_explain_job_function
- utter_explain_nlu
- utter_explain_person_name
- utter_explain_rasa_components
- utter_explain_use_case
- utter_explain_x
- utter_faq_channels_more
- utter_faq_language_more
- utter_faq_ee_more
- utter_faq_slots_more
- utter_faq_voice_more
- utter_first_bot_with_rasa
- utter_get_started_step1
- utter_get_started_step2
- utter_get_started_step3
- utter_get_started_step4
- utter_getstarted
- utter_getstarted_new
- utter_great
- utter_greet
- utter_greet_name
- utter_greet_noname
- utter_handleinsult
- utter_have_you_used_rasa_before
- utter_inform_privacypolicy
- utter_installation_command
- utter_installation_command_followup
- utter_having_trouble_installing
- utter_installation_instructions
- utter_link_to_forum
- utter_moreinformation
- utter_must_accept
- utter_nicetomeeyou
- utter_nlu_entity_tutorial
- utter_nlu_intent_tutorial
- utter_nlu_tools
- utter_no_email
- utter_no_guide_for_switch
- utter_no_more_steps
- utter_no_speak
- utter_nohelp
- utter_not_sure
- utter_noworries
- utter_offer_recommendation
- utter_possibilities
- utter_possibilities_to_contribute
- utter_rasa_components_details
- utter_react_negative
- utter_react_positive
- utter_reasons_to_contribute
- utter_recommend_forum
- utter_response_why_email
- utter_restart
- utter_restart_with_button
- utter_run_rasa_init
- utter_sales_contact
- utter_salesrequest_failed
- utter_search_bar
- utter_source_code
- utter_spacy
- utter_spacy_or_tensorflow
- utter_suggestion
- utter_switch_dialogflow
- utter_switch_luis
- utter_telljoke
- utter_tensorflow
- utter_thank_suggestion
- utter_thumbsup
- utter_what_help
- utter_what_language
- utter_x_tutorial
- respond_out_of_scope
- utter_movie_start
- utter_movie_continue
- utter_movie_about
- utter_movie_follow_up
- utter_movie_end
forms:
- sales_form
- subscribe_newsletter_form
- suggestion_form