chatbot

问题 I want to build a deep learning chatbot application which accepts image as input. I have built a lambda function integrating AWS rekognition that accepts image.Now, i want to extend this lambda function, and connect it to Amazon Lex bot , where user can upload the image for analysis. 回答1: AWS Lex Chatbot can't accept image but Its possible by Integrate your Amazon Lex Bot with Amazon API Gateway . Your application API call to the HTTPS endpoint hosted by AWS API Gateway. API Gateway deal With

问题 RASA version : 0.10.5 spaCy version : 1.9.0 Installed models : en, en_core_web_sm I am creating training data using dialogflow export data and successfully finished training but when I request and give some text it gives wrong intent result. It always gives the same intent in result and also every time same intent_ranking. Please let me know how can I get proper intent results as well as entities result. 回答1: The general recommendation when Rasa NLU seems to be functioning correctly, but

问题 I've built a small basic web bot app using bot framework and want to deploy it on Azure. I've followed all the steps and it's working fine under "Test in Web Chat" of Azure Portal too, but however as I open my bot's endpoint https://optlbot.azurewebsites.net/api/messages I get an error saying The requested resource does not support http method 'GET' Can somebody please help me, I can't debug my application at all. I've also tested on emulator and there too it's working fine. 回答1: Yes, the URL

问题 I'm building a Facebook Messenger bot in Python and my script for quick replies is not working event though I already know how to send simple text messages and generic templates. This is my code so far: This one works: text = { "recipient": { "id": user_id }, "message": { "text": "some text" } } This one doesn't: question = { "recipient": { "id": user_id }, "message": { "quick_replies": [{ "content_type": "location" # "title": "RED", # "text": "red", # "payload": "red" }] } } POST for both:

问题 i'm working with api.ai and stuck on a point i want to expire lifespan of a context on a specific user input how to expire context lifespan on specific user input Api.ai any one please tell me solution since i'm unable to find it in documentation of api.ai 回答1: You can "reset" the context by setting the output context's lifetime to 0 as described on this page: https://docs.api.ai/docs/concept-contexts 来源： https://stackoverflow.com/questions/43146087/how-to-expire-context-lifespan-on-specific

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 3 years ago . I would like to do it (Probably it not necessary to do it) a console interface to make an implementation of a chat bot. I would like my chat bot has 3 levels of “intelligence”. Level one : My chat bot is like a dictionary. You write something like “If user say ‘Hello’, chatbot say ‘Hello’”. Or “if user say ‘How

问题 I am using botium-cli 0.0.40 and I have the following convo file (AGE.convo.txt): #me what is your age? #bot AGEA_UTT There is also a utterance file (AGEA_UTT.utterances.txt): AGEA_UTT ['I am $months months old.'] ['I am $years years old.'] ['I am 5 years old.'] For an answer: ['I am 5 years old.'] it passes. But for ['I am 6 years old.'] it fails: TranscriptError: Error: convos/AGE.convo.txt: Expected bot response (on Line 4: #me - what is your age? ) "['I am 6 years old.']" to match one of

问题 I've been looking for a tutorial or a detailed example that would explain step by step how to integrate our chatbot in our website but I cannot find anything. So far I've found this thread How to integrate dialogflow with website?, but the answer is very obscure to me (I am beginner) and I would prefer something more detailed and explaining the step from the beginning. An example would also be a good solution. I've also found a solution from a company named Kommunicate, but so far paid

问题 I am testing my bot for my school project which was due in next two days and suddenly, the bot stopped functioning correctly and showing the default message all the time. After some research in Google and Stackoverflow, found it is due to Quota limit. I see in the Luis keys, the current key is "Starter_key" and also below error message in the end-point. { "statusCode": 403, "message": "Out of call volume quota. Quota will be replenished in 11.00:25:53." } I read similar problems here, but

问题 This is my current screen when I have tried to load my bot into the bot Framework Emulator: And this is what I have entered within the setting for my bot: But for some reason my bot framework emulator remains empty. I have also tried setting the Endpoint URL to http://localhost:3979/api/messages but no luck. I am trying to run this locally off of visual studio. Any help with this is much appreciated! 回答1: L. Full, if you followed the instructions from the Azure portal to create a QnA bot from