{"id":33523,"date":"2024-01-29T07:30:28","date_gmt":"2024-01-29T07:30:28","guid":{"rendered":"https:\/\/dudleyboys.xyz\/adil\/?p=33523"},"modified":"2024-08-07T08:11:24","modified_gmt":"2024-08-07T08:11:24","slug":"easily-build-ai-based-chatbots-in-python","status":"publish","type":"post","link":"https:\/\/dudleyboys.xyz\/adil\/easily-build-ai-based-chatbots-in-python\/","title":{"rendered":"Easily build AI-based chatbots in Python"},"content":{"rendered":"<p><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_69 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #282828;color:#282828\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #282828;color:#282828\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/dudleyboys.xyz\/adil\/easily-build-ai-based-chatbots-in-python\/#How_to_Create_a_AI_Chatbot_in_Python_with_Kommunicate\" title=\"How to Create a AI Chatbot in Python with Kommunicate\">How to Create a AI Chatbot in Python with Kommunicate<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/dudleyboys.xyz\/adil\/easily-build-ai-based-chatbots-in-python\/#Its_never_too_late_or_early_to_start_something\" title=\"It&#8217;s never too late or early to start something\">It&#8217;s never too late or early to start something<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/dudleyboys.xyz\/adil\/easily-build-ai-based-chatbots-in-python\/#Generative_AI_Latest_breakthroughs_and_developments_%E2%80%93_S_P_Global\" title=\"Generative AI: Latest breakthroughs and developments &#8211; S&#038;P Global\">Generative AI: Latest breakthroughs and developments &#8211; S&#038;P Global<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/dudleyboys.xyz\/adil\/easily-build-ai-based-chatbots-in-python\/#Build_A_Convolutional_Neural_Network_CNN_From_Scratch_Using_Python\" title=\"Build A Convolutional Neural Network (CNN) From Scratch Using Python\">Build A Convolutional Neural Network (CNN) From Scratch Using Python<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/dudleyboys.xyz\/adil\/easily-build-ai-based-chatbots-in-python\/#Python_Questions\" title=\"Python Questions\">Python Questions<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1><span class=\"ez-toc-section\" id=\"How_to_Create_a_AI_Chatbot_in_Python_with_Kommunicate\"><\/span>How to Create a AI Chatbot in Python with Kommunicate<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<\/p>\n<p><img decoding=\"async\" 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width=\"304px\" alt=\"ai chatbot python\"\/><\/p>\n<p><p>In the above snippet of code, we have  defined a variable that is an instance of the class &#8220;ChatBot&#8221;. The first parameter, &#8216;name&#8217;, represents the name of the Python chatbot. Another parameter called &#8216;read_only&#8217; accepts a Boolean value that disables (TRUE) or enables (FALSE) the ability of the bot to learn after the training.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"305px\" alt=\"ai chatbot python\"\/><\/p>\n<p><p>Python Chatbot Project Machine Learning-Explore chatbot implementation steps in detail to learn how to build a chatbot in python from scratch. We then create a simple command-line interface for the chatbot that asks the user for input, calls the \u2018predict_answer\u2019 function to get the answer, and prints the answer to the console. We then create training data and labels, and build a neural network model using the Keras Sequential API.<\/p>\n<\/p>\n<p><h2><span class=\"ez-toc-section\" id=\"Its_never_too_late_or_early_to_start_something\"><\/span>It&#8217;s never too late or early to start something<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/p>\n<p><p>After becoming a Team Lead, he focused on the development of Enterprise CRM systems and teaching students the know-how of the IT industry. Having gained acclaim as a Mentor, Andrii gathered a number of his former students to join in his efforts to create Softermii. No, the<\/p>\n<p>pricing for ChatGPT API<\/p>\n<p>is $0.002 per 1000 tokens, equivalent to around 750 words.<\/p>\n<\/p>\n<div style='border: black dotted 1px;padding: 14px;'>\n<h3><span class=\"ez-toc-section\" id=\"Generative_AI_Latest_breakthroughs_and_developments_%E2%80%93_S_P_Global\"><\/span>Generative AI: Latest breakthroughs and developments &#8211; S&#038;P Global<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Generative AI: Latest breakthroughs and developments.<\/p>\n<p>Posted: Wed, 25 Oct 2023 09:40:26 GMT [<a href=\"https:\/\/news.google.com\/rss\/articles\/CBMieWh0dHBzOi8vd3d3LnNwZ2xvYmFsLmNvbS9tYXJrZXRpbnRlbGxpZ2VuY2UvZW4vbmV3cy1pbnNpZ2h0cy9yZXNlYXJjaC9nZW5lcmF0aXZlLWFpLWxhdGVzdC1icmVha3Rocm91Z2hzLWFuZC1kZXZlbG9wbWVudHPSAQA?oc=5\" rel=\"nofollow noopener\" target=\"_blank\">source<\/a>]<\/p>\n<\/div>\n<p><p>Corpus can be created or designed either manually or by using the accumulated data over time through the chatbot. Take the first step by<\/p>\n<p>contacting us, dive into AI chatbot<\/p>\n<p>development, and witness how neural networks impact your business. A transformer bot has more potential for self-development than a bot using logic adapters.<\/p>\n<\/p>\n<p><h2><span class=\"ez-toc-section\" id=\"Build_A_Convolutional_Neural_Network_CNN_From_Scratch_Using_Python\"><\/span>Build A Convolutional Neural Network (CNN) From Scratch Using Python<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/p>\n<p><p>LSTM networks are better at processing sentences than RNNs thanks to the use of keep\/delete\/update gates. However, LSTMs process text slower than RNNs because they implement heavy computational mechanisms inside these gates. Written by Jamila Cocchiola who has always been fascinated with technology and its impact on the world. The technologies that emerged while she was in high school showed her all the ways software could be used to connect people, so she learned how to code so she could make her own! She went on to make a career out of developing software and apps before deciding to become a teacher to help students see the importance, benefits, and fun of computer science.<\/p>\n<\/p>\n<ul>\n<li>A chatbot is an artificial intelligence that simulates a conversation with a user through apps or messaging.<\/li>\n<li>Natural Language Processing or NLP is a prerequisite for our project.<\/li>\n<li>In the next blog to\u00a0learn data science, we\u2019ll be looking at how to create a Dialog Flow\u00a0Chatbot\u00a0using\u00a0Google\u2019s Conversational AI Platform.<\/li>\n<li>Cosine similarity determines the similarity score between two vectors.<\/li>\n<li>Its versatility and an array of robust libraries make it the go-to language for chatbot creation.<\/li>\n<\/ul>\n<p><p>This is then converted into a sparse matrix where each row is a sentence, and the number of columns is equivalent <a href=\"https:\/\/www.metadialog.com\/blog\/build-ai-chatbot-with-python\/\" target=\"_blank\" rel=\"noopener\">to the number<\/a> of words in the vocabulary. Chatbots help businesses to scale up operations by allowing them to reach a large number of customers at the same time as well as provide 24\/7 service. They also offer personalized interactions to every customer which makes the experience more engaging.<\/p>\n<\/p>\n<p><p>At the beginning of the while loop, we&#8217;ll set it to false to indicate that it has not been found. In the if statement inside the for loop, we&#8217;ll set the keyword_found variable to true. Inside the while loop, we need to check if the user&#8217;s response contains a keyword the AI chatbot already knows. We&#8217;ll use a for loop to loop from the beginning to the end of the keywords list. If the keyword at the current position  in the list is in the user&#8217;s response, we&#8217;ll print the corresponding response from the responses list.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"302px\" alt=\"ai chatbot python\"\/><\/p>\n<p><p>If your data comes from elsewhere, then you can adapt the steps to fit your specific text format. Now that you\u2019ve created a working command-line chatbot, you\u2019ll learn how to train it so you can have slightly more interesting conversations. In this step, you\u2019ll set up a virtual environment and install the necessary dependencies.<\/p>\n<\/p>\n<p><h2><span class=\"ez-toc-section\" id=\"Python_Questions\"><\/span>Python Questions<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/p>\n<p><p>This gives us the methods to create and manipulate JSON data in Redis, which are not available with aioredis. In the .env file, add the following code \u2013 and make sure you update the fields with the credentials provided in your Redis Cluster. Also, create a folder named redis and add a new file named config.py. We will use the aioredis client to <a href=\"https:\/\/www.metadialog.com\/blog\/build-ai-chatbot-with-python\/\" target=\"_blank\" rel=\"noopener\">connect with the<\/a> Redis database. We&#8217;ll also use the requests library to send requests to the Huggingface inference API. During the trip between the producer and the consumer, the client can send multiple messages, and these messages will be queued up and responded to in order.<\/p>\n<\/p>\n<ul>\n<li>We want it to pull the token data in real-time, as we are currently hard-coding the tokens and message inputs.<\/li>\n<li>Some of the best chatbots available include Microsoft XiaoIce, Google Meena, and OpenAI&#8217;s GPT 3.<\/li>\n<li>No, the<\/p>\n<p>pricing for ChatGPT API<\/p>\n<p>is $0.002 per 1000 tokens, equivalent to around 750 words.<\/li>\n<li>Process of converting words into numbers by generating vector embeddings from the tokens generated above.<\/li>\n<\/ul>\n<p><p>Read more about <a href=\"https:\/\/www.metadialog.com\/\" target=\"_blank\" rel=\"noopener\">https:\/\/www.metadialog.com\/<\/a> here.<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>How to Create a AI Chatbot in Python with Kommunicate In the above snippet of code, we have defined a variable that is an instance of the class &#8220;ChatBot&#8221;. The first parameter, &#8216;name&#8217;, represents the name of the Python chatbot. Another parameter called &#8216;read_only&#8217; accepts a Boolean value that disables (TRUE) or enables (FALSE) the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[306],"tags":[],"class_list":["post-33523","post","type-post","status-publish","format-standard","hentry","category-ai-automation"],"_links":{"self":[{"href":"https:\/\/dudleyboys.xyz\/adil\/wp-json\/wp\/v2\/posts\/33523"}],"collection":[{"href":"https:\/\/dudleyboys.xyz\/adil\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dudleyboys.xyz\/adil\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dudleyboys.xyz\/adil\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dudleyboys.xyz\/adil\/wp-json\/wp\/v2\/comments?post=33523"}],"version-history":[{"count":1,"href":"https:\/\/dudleyboys.xyz\/adil\/wp-json\/wp\/v2\/posts\/33523\/revisions"}],"predecessor-version":[{"id":33524,"href":"https:\/\/dudleyboys.xyz\/adil\/wp-json\/wp\/v2\/posts\/33523\/revisions\/33524"}],"wp:attachment":[{"href":"https:\/\/dudleyboys.xyz\/adil\/wp-json\/wp\/v2\/media?parent=33523"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dudleyboys.xyz\/adil\/wp-json\/wp\/v2\/categories?post=33523"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dudleyboys.xyz\/adil\/wp-json\/wp\/v2\/tags?post=33523"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}