{"id":4187,"date":"2020-06-05T12:15:08","date_gmt":"2020-06-05T12:15:08","guid":{"rendered":"https:\/\/www.genesesolution.com\/bd\/?p=4187"},"modified":"2021-08-26T11:53:50","modified_gmt":"2021-08-26T11:53:50","slug":"amazon-lex","status":"publish","type":"post","link":"https:\/\/www.genesesolution.com\/bd\/blog\/amazon-lex\/","title":{"rendered":"Amazon Lex Chatbot"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; specialty=&#8221;on&#8221; _builder_version=&#8221;3.22&#8243;][et_pb_column type=&#8221;3_4&#8243; specialty_columns=&#8221;3&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_row_inner admin_label=&#8221;Row&#8221; _builder_version=&#8221;3.25&#8243; custom_margin=&#8221;|||4px||&#8221;][et_pb_column_inner saved_specialty_column_type=&#8221;3_4&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.4.6&#8243;]<\/p>\n<p><span style=\"font-weight: 400;\">A webinar and demo session on Amazon Lex was held on 26th April 2020 starting from 8:30 pm to 10:30 pm NPT.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A chatbot is an application that conducts a conversation via text or speech to simulate the way a human would converse. Chatbot has seen growing popularity with various applications to assist in business needs. There are various tools and services available to develop a chatbot, but it has always been a complicated one to start.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Among various other services, Amazon has been offering a service that not only helps to create the chatbot but makes the task easier than ever before. Amazon Lex is a<a href=\"https:\/\/www.genesesolution.com\/bd\/aws-services\/\"> service provided by AWS<\/a> for building conversational interfaces into any application using voice and text. It is the same technology that is being used by Alexa under the hood. Amazon Lex also provides functionality like speech recognition, natural language understanding that can be used to create a highly engaging conversational interaction without having to know about machine learning and such.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Amazon Lex enables any developer to build<a href=\"https:\/\/www.inbenta.com\/en\/blog\/conversational-chatbot\/\"> conversational chatbots<\/a> quickly and easily. With Amazon Lex, no <a href=\"https:\/\/www.forbes.com\/sites\/bernardmarr\/2018\/10\/01\/what-is-deep-learning-ai-a-simple-guide-with-8-practical-examples\/\">deep learning<\/a> expertise is necessary\u2014users just specify the basic conversational flow directly from the console, and then Amazon Lex manages the dialogue and dynamically adjusts the response. The whole session was enlightened towards creating a chatbox with Amazon Lex.<\/span><\/p>\n<h3><b>How to launch a sample Chatbot and use the chatbot web UI.<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">We will be using a prebuilt sample for this article. You will require an AWS account for this if you don&#8217;t have one you can register for free at <\/span><b>aws.amazon.com\/free<\/b><\/p>\n<h3><b>Creating an Amazon Lex Bot<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Head over to the console and search for the Amazon Lex service or navigate directly to this link: <\/span><a href=\"https:\/\/console.aws.amazon.com\/lex\/home\"><span style=\"font-weight: 400;\">https:\/\/console.aws.amazon.com\/lex\/home<\/span><\/a><\/p>\n<ol>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">On the Create your Lex bot page, provide the following information and then choose to Create.<\/span><\/li>\n<\/ol>\n<p><b><\/b><\/p>\n<ul>\n<li><b><span style=\"font-weight: 400;\">Choose the OrderFlowers blueprint.<\/span><\/b><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-weight: 400;\">Leave the default bot name (OrderFlowers).<\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-weight: 400;\">For COPPA, choose No.<img loading=\"lazy\" src=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/1st.png\" width=\"886\" height=\"481\" alt=\"\" class=\"wp-image-4193 alignnone size-full\" srcset=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/1st.png 886w, https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/1st-480x261.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 886px, 100vw\" \/><img loading=\"lazy\" src=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/2nd.png\" width=\"869\" height=\"550\" alt=\"\" class=\"wp-image-4194 alignnone size-full\" srcset=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/2nd.png 869w, https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/2nd-480x304.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 869px, 100vw\" \/><\/span><\/li>\n<li><b><span style=\"font-weight: 400;\">Choose to Create. The console makes the necessary requests to Amazon Lex to save the configuration. The console then displays the bot editor window.<\/span><\/b><\/li>\n<li><b><b><span style=\"font-weight: 400;\"><img loading=\"lazy\" src=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/4th.png\" width=\"906\" height=\"506\" alt=\"\" class=\"wp-image-4195 alignnone size-full\" srcset=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/4th.png 906w, https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/4th-480x268.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 906px, 100vw\" \/><\/span><\/b><\/b><b><b><b><span style=\"font-weight: 400;\"><\/span><\/b><\/b><\/b>\n<ul>\n<li style=\"font-weight: 400;\"><b>Wait for confirmation that your bot was built.<\/b><b><\/b><b><img loading=\"lazy\" src=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/3rd.png\" width=\"1320\" height=\"467\" alt=\"\" class=\"wp-image-4196 alignnone size-full\" srcset=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/3rd.png 1320w, https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/3rd-1280x453.png 1280w, https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/3rd-980x347.png 980w, https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/3rd-480x170.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 1320px, 100vw\" \/><\/b><b>. Test the bot.<\/b><\/li>\n<li style=\"font-weight: 400;\"><b>Note: <\/b><span style=\"font-weight: 400;\">Users can test the bot by typing text into the test window, or, for compatible browsers, by choosing the microphone button in the test window and speaking. Use the following example text to engage in conversation with the bot to order flowers:<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><img loading=\"lazy\" src=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/OrderFlowers-NoLambda.png\" width=\"402\" height=\"634\" alt=\"\" class=\"wp-image-4197 alignnone size-full\" srcset=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/OrderFlowers-NoLambda.png 402w, https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/OrderFlowers-NoLambda-190x300.png 190w\" sizes=\"(max-width: 402px) 100vw, 402px\" \/><\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><b>Note:<\/b> Unless you Choose Build, the changes made in the system will not be effective. So, recall choosing the Build to make the change in bot effective.<\/span><span style=\"font-weight: 400;\"><\/span><span style=\"font-weight: 400;\"><\/span><span style=\"font-weight: 400;\"><img loading=\"lazy\" src=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/5th.png\" width=\"1145\" height=\"411\" alt=\"\" class=\"wp-image-4198 alignnone size-full\" srcset=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/5th.png 1145w, https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/5th-980x352.png 980w, https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/5th-480x172.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1145px, 100vw\" \/><\/span><b>Furthermore, a sample input was also taken in order to check the accuracy of the bot which resulted as below:<\/b><\/li>\n<li style=\"font-weight: 400;\"><b><img loading=\"lazy\" src=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/6th.png\" width=\"1159\" height=\"508\" alt=\"\" class=\"wp-image-4199 alignnone size-full\" srcset=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/6th.png 1159w, https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/6th-980x430.png 980w, https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/6th-480x210.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1159px, 100vw\" \/><\/b><\/li>\n<li style=\"font-weight: 400;\"><b>Deploy a Web UI for the bot:<\/b>\n<p><span style=\"font-weight: 400;\">The AWS-sample has a prebuilt cloud formation that you can use to quickly deploy the web UI for the lex bot that you can integrate on your own site.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/github.com\/aws-samples\/aws-lex-web-ui\">https:\/\/github.com\/aws-samples\/aws-lex-web-ui<\/a><a href=\"https:\/\/github.com\/aws-samples\/aws-lex-web-ui\"><\/a><\/span><\/p>\n<\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><b>Prerequisite:<\/b> Before installing the chatbot UI, make sure your AWS account is configured to allow S3 objects to have public read access. Open the S3 settings page Block public access (account settings), and if needed, choose Edit and uncheck the options to block public access on objects granted through access control lists (ACLs), as shown below:<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><img loading=\"lazy\" src=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/chatbot-ui-update-1.gif\" width=\"800\" height=\"439\" alt=\"\" class=\"wp-image-4200 alignnone size-full\" \/><\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Deploy the chatbot UI to kick the tires.<\/b>\n<ol>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Press the Launch Stack button for the Region in which you will use your chatbot: Accept all default parameters.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">North Virginia: <\/span><a href=\"https:\/\/us-east-1.console.aws.amazon.com\/cloudformation\/home?region=us-east-1#\/stacks\/create\/review?templateURL=https:\/\/s3.amazonaws.com\/aws-bigdata-blog\/artifacts\/aws-lex-web-ui\/artifacts\/templates\/master.yaml&amp;stackName=lex-web-ui&amp;param_BootstrapBucket=aws-bigdata-blog\"><span style=\"font-weight: 400;\">CloudFormation<\/span><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Oregon: <\/span><a href=\"https:\/\/us-west-2.console.aws.amazon.com\/cloudformation\/home?region=us-west-2#\/stacks\/create\/review?templateURL=https:\/\/s3.amazonaws.com\/aws-bigdata-blog-replica-us-west-2\/artifacts\/aws-lex-web-ui\/artifacts\/templates\/master.yaml&amp;stackName=lex-web-ui&amp;param_BootstrapBucket=aws-bigdata-blog-replica-us-west-2\"><span style=\"font-weight: 400;\">CloudFormation<\/span><\/a><\/p>\n<\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Ireland: <\/span><a href=\"https:\/\/eu-west-1.console.aws.amazon.com\/cloudformation\/home?region=eu-west-1#\/stacks\/create\/review?templateURL=https:\/\/s3.amazonaws.com\/aws-bigdata-blog-replica-eu-west-1\/artifacts\/aws-lex-web-ui\/artifacts\/templates\/master.yaml&amp;stackName=lex-web-ui&amp;param_BootstrapBucket=aws-bigdata-blog-replica-eu-west-1\"><span style=\"font-weight: 400;\">CloudFormation<\/span><\/a><span style=\"font-weight: 400;\">\u00a0<\/span>\n<p><span style=\"font-weight: 400;\">Sydney: <\/span><a href=\"https:\/\/ap-southeast-2.console.aws.amazon.com\/cloudformation\/home?region=ap-southeast-2#\/stacks\/create\/review?templateURL=https:\/\/s3.amazonaws.com\/aws-bigdata-blog-replica-ap-southeast-2\/artifacts\/aws-lex-web-ui\/artifacts\/templates\/master.yaml&amp;stackName=lex-web-ui&amp;param_BootstrapBucket=aws-bigdata-blog-replica-ap-southeast-2\"><span style=\"font-weight: 400;\">CloudFormation<\/span><\/a> <span style=\"font-weight: 400;\"><br \/> <\/span><span style=\"font-weight: 400;\">This deploys a demonstration environment in your account (in the us-east-1 AWS Region) and installs the OrderFlowersBot. If you would like to use your existing bot enter the name of the bot under the section LexBot Configuration Parameters<\/span><\/p>\n<\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><img loading=\"lazy\" src=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/pasted-image-0.png\" width=\"788\" height=\"121\" alt=\"\" class=\"wp-image-4201 alignnone size-full\" srcset=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/pasted-image-0.png 788w, https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/pasted-image-0-480x74.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 788px, 100vw\" \/><\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">After AWS CloudFormation launches the stack (the status is CREATE_COMPLETE), open the Outputs tab. Choose WebAppUrl or ParentPageUrl to experiment with the chatbot UI:<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><img loading=\"lazy\" src=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/chatbot-ui-1-2.gif\" width=\"600\" height=\"415\" alt=\"\" class=\"wp-image-4202 alignnone size-full\" \/><\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The stack deploys the following architecture. It is completely serverless \u02d7 charges are based on your service usage.<\/span>\n<p><span style=\"font-weight: 400;\">After you\u2019ve got a sense of how the chatbot UI works, try it with your own Amazon Lex chatbot and integrate it into your website. Here\u2019s how:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Launch the AWS CloudFormation stack.<\/span><span style=\"font-weight: 400;\"><br \/> <\/span><a href=\"https:\/\/console.aws.amazon.com\/cloudformation\/home?region=us-east-1#\/stacks\/new?stackName=lex-web-ui&amp;templateURL=https:\/\/s3.amazonaws.com\/aws-bigdata-blog\/artifacts\/aws-lex-web-ui\/artifacts\/templates\/master.yaml\"><span style=\"font-weight: 400;\">CloudFormation<\/span><\/a><span style=\"font-weight: 400;\">\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">In the Lex Bot Configuration Parameters section:<\/span><\/li>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">For BotName, type your bot\u2019s name.<\/span><span style=\"font-weight: 400;\"><\/span><span style=\"font-weight: 400;\"><img loading=\"lazy\" src=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/pasted-image-0-1.png\" width=\"788\" height=\"121\" alt=\"\" class=\"wp-image-4203 alignnone size-full\" srcset=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/pasted-image-0-1.png 788w, https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/pasted-image-0-1-480x74.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 788px, 100vw\" \/><\/span><span style=\"font-weight: 400;\"><\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Set EnableCognitoLogin to true to enable integrated user login otherwise false.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><img loading=\"lazy\" src=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/pasted-image-0-2.png\" width=\"824\" height=\"108\" alt=\"\" class=\"wp-image-4204 alignnone size-full\" srcset=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/pasted-image-0-2.png 824w, https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/pasted-image-0-2-480x63.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 824px, 100vw\" \/><\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">In the Web Application Parameters section, complete each of the parameters.<\/span><span style=\"font-weight: 400;\"><br \/> <\/span><span style=\"font-weight: 400;\">Note: It\u2019s essential that you use your site\u2019s origin for WebAppParentOrigin.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">After AWS CloudFormation launches the stack (the status is CREATE_COMPLETE), you will see a link on the Outputs tab in the <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">SnippetUrl output value:<br \/> <\/span><span style=\"font-weight: 400;\"><img loading=\"lazy\" src=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/chatbot-ui-3-1.gif\" width=\"600\" height=\"476\" alt=\"\" class=\"wp-image-4205 alignnone size-full\" \/><\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Browse to the SnippetUrl page, where you will see a code snippet similar to the following that you can paste into your application:<b><br \/> <\/b><\/span><span style=\"font-weight: 400;\"><b><img loading=\"lazy\" src=\"https:\/\/www.genesesolution.com\/bd\/wp-content\/uploads\/sites\/4\/2020\/06\/chatbot-ui-4.gif\" width=\"800\" height=\"153\" alt=\"\" class=\"wp-image-4206 alignnone size-full\" \/><\/b><\/span><span style=\"font-weight: 400;\">All in all, the session was a fruitful one with the attending officials showing great interest in implementing the ideas to develop and retain talents in our country Nepal. Lastly, one major thing that makes the webinar more exciting and fruitful was participants were very interactive and the intercommunication between the participants and the facilitators was very smooth and effective which resulted in a great impact on learning for all the attendees. In a nutshell, the webinar was a complete success as the response from the event was overwhelming with enthusiastic participants enrolled and was able to attract the attendees of varied career levels and was commended as fruitful by most of the attendees.<\/span>\n<p><span style=\"font-weight: 400;\"><b>Video (Creating a chatbot with Amazon Lex)<\/b><\/span><\/p>\n<\/li>\n<\/ul>\n<\/ol>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_video src=&#8221;https:\/\/youtu.be\/RhLCjrPqjtE&#8221; _builder_version=&#8221;4.4.6&#8243;][\/et_pb_video][\/et_pb_column_inner][\/et_pb_row_inner][\/et_pb_column][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_sidebar area=&#8221;sidebar-1&#8243; _builder_version=&#8221;3.15&#8243;][\/et_pb_sidebar][\/et_pb_column][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; specialty=&#8221;on&#8221; _builder_version=&#8221;3.22&#8243;][et_pb_column type=&#8221;3_4&#8243; specialty_columns=&#8221;3&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_row_inner admin_label=&#8221;Row&#8221; _builder_version=&#8221;3.25&#8243; custom_margin=&#8221;|||4px||&#8221;][et_pb_column_inner saved_specialty_column_type=&#8221;3_4&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.4.6&#8243;] A webinar and demo session on Amazon Lex was held on 26th April 2020 starting from 8:30 pm to 10:30 pm NPT. A chatbot is an application that conducts a conversation via text or speech to simulate the [&hellip;]<\/p>\n","protected":false},"author":191,"featured_media":4190,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","_links_to":"","_links_to_target":""},"categories":[70,76],"tags":[17,61],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v16.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Amazon Lex Chatbot<\/title>\n<meta name=\"description\" content=\"A webinar and demo session on Amazon Lex chatbot was held on 19th April 2020 starting from 8:30 pm to 10:30 pm NPT.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.genesesolution.com\/bd\/blog\/amazon-lex\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" 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