Conversational | Towards Conversational Search and Recommendation : System Ask | Chat library

 by   evison Python Version: Current License: No License

kandi X-RAY | Conversational Summary

kandi X-RAY | Conversational Summary

Conversational is a Python library typically used in Messaging, Chat, Tensorflow applications. Conversational has no bugs, it has no vulnerabilities and it has low support. However Conversational build file is not available. You can download it from GitHub.

Code for paper: Towards Conversational Search and Recommendation: System Ask, User Respond
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            kandi-support Support

              Conversational has a low active ecosystem.
              It has 23 star(s) with 4 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Conversational has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Conversational is current.

            kandi-Quality Quality

              Conversational has 0 bugs and 0 code smells.

            kandi-Security Security

              Conversational has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Conversational code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Conversational does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Conversational releases are not available. You will need to build from source code and install.
              Conversational has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              Conversational saves you 417 person hours of effort in developing the same functionality from scratch.
              It has 990 lines of code, 45 functions and 7 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Conversational and discovered the below as its top functions. This is intended to give you an instant insight into Conversational implemented functionality, and help decide if they suit your requirements.
            • Runs the model
            • Get test data
            • Get training data
            • Evaluate the prediction
            • Build the graph
            • Build the loss function
            • Build the episodic memory
            • Update memory
            • Make train and test sets
            • Pad input_item with padding
            • Determine the length of a list of datasets
            • Process test input data
            • Get all descriptions
            Get all kandi verified functions for this library.

            Conversational Key Features

            No Key Features are available at this moment for Conversational.

            Conversational Examples and Code Snippets

            No Code Snippets are available at this moment for Conversational.

            Community Discussions

            QUESTION

            Structuring dataset for OpenAI's GPT-3 fine tuning
            Asked 2022-Jan-14 at 12:37

            The fine tuning endpoint for OpenAI's API seems to be fairly new, and I can't find many examples of fine tuning datasets online.

            I'm in charge of a voicebot, and I'm testing out the performance of GPT-3 for general open-conversation questions. I'd like to train the model on the "fixed" intent-response pairs we're currently using: this would probably end up performing better in terms of company voice and style.

            I have ready a long JSON file of data extracted from our current conversational engine, which matches user input to intents and returns the specified response. I'd like to train a GPT-3 model on this data.

            As of now, for some quick testing, I've set up my calls to the API just like they suggest. I have a "fixed" intro text in the form

            ...

            ANSWER

            Answered 2022-Jan-14 at 12:37

            I contacted OpenAI's support and they were extremely helpful: I'll leave their answer here.

            the prompt does not need the fixed intro every time. Instead, you'll just want to provide at least a few hundred prompt-completion pairs of user/bot exchanges. We have a sample of a chatbot fine-tuning dataset here.

            Source https://stackoverflow.com/questions/70531364

            QUESTION

            Differences between Rasa and other Conversational AI platforms
            Asked 2021-Dec-29 at 16:18

            Apart from being open source, what can other Conversational AI platforms (wit.ai, Lex, DialogFlow..) do that Rasa can't?

            ...

            ANSWER

            Answered 2021-Dec-29 at 16:18

            These are some of the main differences between Dialog Flow and Rasa:

            Dialog Flow:

            • No installation needed, you can start using it immediately.

            • Easy to use, non-tech people can build a bot.

            • Closed system.

            • Web-based interface for building bots.

            • Data is hosted on the cloud.

            • Can’t be hosted on your server or on-premise.

            • Out-of-box integration with Google Assistant, Skype, Slack, Facebook Messenger, etc.

            Rasa:

            • Requires installation of multiple components.

            • Requires tech knowledge.

            • Open-source code available in GitHub.

            • No interface provided, write JSON or markdown files.

            • No hosting provided.

            • You can host it on your server.

            • No out-of-box integration.

            Source https://stackoverflow.com/questions/70508199

            QUESTION

            Issue google action user.verificationStatus always returns unverified
            Asked 2021-Nov-14 at 00:51

            I'm using action builder to create actions. it was all fine when I deployed the action a few months ago,( everything was working those days). but a few days ago when I checked the action it was not working properly.

            i find that it always returns (user.verificationStatus != "VERIFIED") true (guest user),according to the google's documentation we should only redirect to account linking when the (user.verificationStatus == "VERIFIED") is true

            my action only work after account linking so I have set the scene like this(user.verificationStatus != "VERIFIED") ==> end.conversation

            (user.verificationStatus == "VERIFIED") ==> accountlinking

            It always returns an 'unverified'/ 'guest' user so the action never starts.

            I checked all the conditions in Expiration of user storage data with multiple accounts

            ...

            ANSWER

            Answered 2021-Nov-14 at 00:51

            A possible reason is that there is "Save audio" or "Save history for applications and devices" disabled for your Google Account. Go to the settings page and enable them.

            Source https://stackoverflow.com/questions/69807425

            QUESTION

            Python - Find matching string(s) between DataFrame column (scraped text) and list of strings
            Asked 2021-Nov-01 at 14:08

            I am having an hard time comparing the strings from a DataFrame column with a list of strings.

            Let me explain to you: I collected data from social media for a personal project, and aside of that I created a list of string like the following:

            ...

            ANSWER

            Answered 2021-Oct-31 at 23:12

            You have to add word boundaries '\b' to your regex pattern. From the re module docs:

            \b

            Matches the empty string, but only at the beginning or end of a word. A word is defined as a sequence of word characters. Note that formally, \b is defined as the boundary between a \w and a \W character (or vice versa), or between \w and the beginning/end of the string. This means that r'\bfoo\b' matches 'foo', 'foo.', '(foo)', 'bar foo baz' but not 'foobar' or 'foo3'.

            Besides that, you want to use Series.str.findall (or Series.str.extractall) instead of Series.str.extract to find all the matches.

            This should work

            Source https://stackoverflow.com/questions/69790956

            QUESTION

            Get Botbuilder Signin button cancel response
            Asked 2021-Oct-28 at 18:44

            Crowd,

            I'm struggling on an issue reacting to denied consent in Teams SSO.

            My solution looks like this:

            1. I have a webserver doing some conversational logic written in typescript reachable via ngrok
            2. I have an Azure bot
            3. I have an Azure AD bot registration

            When requesting permissions I'm creating an oauthcard that is sent as an attachment like this:

            ...

            ANSWER

            Answered 2021-Oct-28 at 18:44

            This is expected to be handled by Teams client, If we pass this control to the Bot, the requests would get into a loop and we want to avoid that. For example, user interacts with Bot -> client shows consent pop up -> User cancels -> Bot again initializes Auth request -> client again shows pop up -> ...

            So, this is by design. Teams client will show the consent pop up when user tries to interact with the Bot again.

            Source https://stackoverflow.com/questions/69644955

            QUESTION

            can't get phone number to launch an automatic call in google actions (nodeJs)
            Asked 2021-Oct-14 at 16:50

            I want to trigger an automatic call using a platform like twilio when saying "make a call" in the conversation. I have the destination phone and want to have the phone number of the user. This is available on alexa platform through Amazon account but with Google accounts, I don't find any trick. Is there any google API to get it ? Looking to permissions, I don't see a permission like "Read phone number" like location one. Could you please help me ? We are in the era of automation, what is the reason to not have a permission like that ?

            I don't want to initialize a phone call (this is done through twilio). I only want a permission to get the phone number (null or setted) like the permission one for latitude/longitude in the google actions . https://developers.google.com/assistant/conversational/permissions?hl=en

            ...

            ANSWER

            Answered 2021-Oct-14 at 16:50

            The platform does not have an API to programmatically initialize a phone call nor request a phone number.

            Source https://stackoverflow.com/questions/69518314

            QUESTION

            Google Action Console(Cloud function editor) How to ask something to the user
            Asked 2021-Oct-11 at 16:37

            Hi i'am working with google assistant, i'am using Action Builder in the Google Action Console because it seemed easy to use. I red the documentation here https://developers.google.com/assistant/conversational/overview and i followed this tutorial https://www.youtube.com/watch?v=Z1hxvniJ18s and i was able to understand the basic of how it's work and how to use Webhook. The problem is that i can give answer to the user but i can't ask him question. here is how i do it :

            ...

            ANSWER

            Answered 2021-Oct-11 at 16:37

            You are following tutorials on using Actions Builder, which is slightly different from Dialogflow in a few ways. One such example is that the .ask method is not used in DF. Instead, you use the .add method. They are fundamentally equivalent for each platform. So you should keep using .add for your question and also for your suggestion chips:

            Source https://stackoverflow.com/questions/69484474

            QUESTION

            How to add new special token to the tokenizer?
            Asked 2021-Sep-15 at 21:51

            I want to build a multi-class classification model for which I have conversational data as input for the BERT model (using bert-base-uncased).

            QUERY: I want to ask a question.
            ANSWER: Sure, ask away.
            QUERY: How is the weather today?
            ANSWER: It is nice and sunny.
            QUERY: Okay, nice to know.
            ANSWER: Would you like to know anything else?

            Apart from this I have two more inputs.

            I was wondering if I should put special token in the conversation to make it more meaning to the BERT model, like:

            [CLS]QUERY: I want to ask a question. [EOT]
            ANSWER: Sure, ask away. [EOT]
            QUERY: How is the weather today? [EOT]
            ANSWER: It is nice and sunny. [EOT]
            QUERY: Okay, nice to know. [EOT]
            ANSWER: Would you like to know anything else? [SEP]

            But I am not able to add a new [EOT] special token.
            Or should I use [SEP] token for this?

            EDIT: steps to reproduce

            ...

            ANSWER

            Answered 2021-Sep-15 at 21:51

            As the intention of the [SEP] token was to act as a separator between two sentence, it fits your objective of using [SEP] token to separate sequences of QUERY and ANSWER.

            You also try to add different tokens to mark the beginning and end of QUERY or ANSWER as and to mark the beginning and end of QUERY. Likewise, and to mark the beginning and end of ANSWER.

            Sometimes, using the existing token works much better than adding new tokens to the vocabulary, as it requires huge number of training iterations as well as the data to learn the new token embedding.

            However, if you want to add a new token if your application demands so, then it can be added as follows:

            Source https://stackoverflow.com/questions/69191305

            QUESTION

            Management of verificationStatus, accountLinkingStatus, UserStorage, and user's ID in Google Conversational Actions
            Asked 2021-Sep-09 at 16:28

            I am very confused on how I have to handle the verificationStatus and accountLinkingStatus attributes of requests in a Google Conversational Action app that I am working with, specially now that user ID is deprecated.

            I need to identify a user, so I need to store data in the UserStorage, only if the user is Verified and gave consent, but since I also have AccountLinking with OAuth, I don't know if it is possible that a user with AccountLinking and not verified could exist, or how to manage or face the user's ID management.

            As much as I read the documentation, I cannot understand how the conditions can occur with each other, and if there is mutual exclusion in any case.

            ...

            ANSWER

            Answered 2021-Sep-09 at 16:28

            A user cannot have a valid account while also being unverified. If the Google Assistant device cannot verify who the user is, it will not send account linking credentials.

            However, a user can be verified with voice matching in a way that doesn't require you to have an account.

            It's also possible for neither to be true, particularly when a guest is interacting with an action.

            Below is a table to show the set of possible states.

            Not Verified Verified Not Linked ✓ ✓ Linked ✕ ✓

            Source https://stackoverflow.com/questions/69113501

            QUESTION

            Reading XML dataframe with limited node roots in R
            Asked 2021-Aug-16 at 19:48

            I have an XML file which contains archived text from the New Yorker magazine. I am new to analyzing XML, but I'm hoping to convert this file into a dataframe in R where I can do some basic text analyses (e.g., a word cloud).

            This is a subset of the XML file:

            ...

            ANSWER

            Answered 2021-Aug-16 at 19:48

            Here is a solution using the xml2 package. Assuming that your XML file is saved to the path ~/Desktop/New Yorker/1925_02_21/xml/page0000004.xml:

            Source https://stackoverflow.com/questions/68808093

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Conversational

            You can download it from GitHub.
            You can use Conversational like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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