{"id":262240,"date":"2023-10-19T15:51:42","date_gmt":"2023-10-19T15:51:42","guid":{"rendered":"https:\/\/siit.co\/guestposts\/?p=262240"},"modified":"2024-02-02T07:45:49","modified_gmt":"2024-02-02T07:45:49","slug":"how-to-develop-smart-chatbots-using-python","status":"publish","type":"post","link":"https:\/\/siit.co\/guestposts\/how-to-develop-smart-chatbots-using-python\/","title":{"rendered":"How to Develop Smart Chatbots Using Python: Examples of Developing AI- and ML-Driven Chatbots"},"content":{"rendered":"<p><h1>How to Build Your AI Chatbot with NLP in Python?<\/h1>\n<\/p>\n<p>&lt;img class=&#039;wp-post-image&#039; style=&#039;margin-left:auto;margin-right:auto&#039; src=&quot;image\/jpeg;base64,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<a 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&#8221; width=&#8221;308px&#8221; alt=&#8221;chatbot with python&#8221; \/&gt;<\/p>\n<p><p>Let\u2019s use the Tkinter library, which comes with a lot of other useful GUI libraries. Here, we go through the patterns, use the nltk.word_tokenize() function to break the sentence into words and add each word to the word list. In the below image, I have used the Tkinter in python to create a GUI. Please note that if you are using Google Colab then Tkinter will not work. You have to use your local system\/PC to use the Tkinter library.<\/p>\n<\/p>\n<ul>\n<li>Our chatbot is going to work on top of data that will be fed to a large language model (LLM).<\/li>\n<li>In other words, a chatbot simulates a human-like conversation in order to perform a specific task for an end user.<\/li>\n<li>So, if you are looking for building chatbots in Python, you have come to the right place.<\/li>\n<li>Regardless of IDE you must install the correct libraries and python version in your development environment for this to work.<\/li>\n<li>Using cloud storage solutions can provide flexibility and ensure that your chatbot can handle increasing amounts of data as it learns and interacts with users.<\/li>\n<li>The chatbot&#8217;s answer database is often generated from prior interactions.<\/li>\n<\/ul>\n<p><p>The Chatbots which is being proposed for Human Resource is Artificial Intelligence based Chatbot for major measurement profiling of contenders for the explicit task. The learning technique used for the Chatbot here is diverse neural framework exhibit for setting up the Chabot to make it continuously like human enlistment authority. \u2014Human-Computer Speech is gaining momentum as a technique of computer interaction. There has been a recent upsurge in speech based search engines and assistants such as Siri, Google Chrome and Cortana. This type of programme is called a Chatbot, which is the focus of this study. These papers are representative of the significant improvements in Chatbots in the last decade.<\/p>\n<\/p>\n<p><h2>Python time sleep() \u2013 One Stop Solution for time.sleep() Method<\/h2>\n<\/p>\n<p><p>In this step of the tutorial on how to build a chatbot in Python, we will create a few easy functions that will convert the user\u2019s input query to arrays and predict the relevant tag for it. Our code for  the Python Chatbot will then allow the machine to pick one of the responses corresponding to that tag and submit it as output. No doubt, chatbots are our new friends and are projected to be a continuing technology trend in AI.<\/p>\n<\/p>\n<p><p>ChatterBot is a Python library used to create chatbots that generate automated responses to users\u2019 input by using machine learning algorithms. ChatterBot is a Python library that is developed to provide automated responses to user inputs. It makes utilization of a combination of Machine Learning algorithms in order to generate multiple types of responses. This feature enables developers to construct chatbots using Python that can communicate with humans and provide relevant and appropriate responses.<\/p>\n<\/p>\n<p><h2>What is the smartest chatbot?<\/h2>\n<\/p>\n<p><p>They enable companies to provide customer support and another plethora of things. That is, if you ask chat GPT, for example, what\u2019s the weather like in  Arizona? You\u2019re gonna have to send it the first prompt, \u201cHow\u2019s the weather in Arizona?<\/p>\n<\/p>\n<p><p>Python is one such language that comes with extensive library support and all the required packages for developing stable Chatbots. Python will be a good headstart if you are a novice in programming and want to build a Chatbot. To create the Chatbot, you must first be familiar with the Python programming language and must have some skills in coding, without which the task becomes a little challenging. You will learn about the origin and history of chatbots, their types and applications, their architecture, and their mechanism.<\/p>\n<\/p>\n<p><h2>Simple ChatBot build by using Python<\/h2>\n<\/p>\n<p><p>The ChatterBot library comes with some corpora that you can use to train your chatbot. However, at the time of writing, there are some issues if you try to use these resources straight out of the box. In the previous step, you built a chatbot that you could interact with from your command line. The chatbot started from a clean slate and wasn\u2019t very interesting to talk to. After data cleaning, you\u2019ll retrain your chatbot and give it another spin to experience the improved performance.<\/p>\n<\/p>\n<p><a href=\"https:\/\/www.metadialog.com\/\"><\/p>\n<figure><img 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' alt='https:\/\/www.metadialog.com\/' class='aligncenter' style='margin-left:auto;margin-right:auto' width='403px' \/><\/figure>\n<p><\/a><\/p>\n<p><p>It analyses the conversation and selects the best response from the library. In recent years, there has been a tremendous increase in on-demand messaging, which has changed how customers communicate <a href=\"https:\/\/www.metadialog.com\/blog\/build-ai-chatbot-with-python\/\">with brands.<\/a> More and more firms are using chatbots in their workflows to provide greater customer care. Businesses frequently need help with the high expenses of customer service operations. Python chatbots overcome this issue by providing round-the-clock automated service.<\/p>\n<\/p>\n<p><p>Python has an impressive library, and you can also find multiple frameworks for creating chatbots. It is a leading platform that offers developers to create python programs using human language data. In my  NLTK\u2019s nltk.chat module to construct Mat the Matcha bot which describes the benefits of matcha green tea to the user. However, I had made another Chatbot that exploited NLP immensely and I\u2019ll be referring to that method first.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='margin-left:auto;margin-right:auto' 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\" width=\"307px\" alt=\"chatbot with python\" \/><\/p>\n<p><p>However, from there, chatbots have evolved immensely with the help of groundbreaking technologies, including artificial intelligence, natural language processing, and machine learning. A chatbot is a computer program that is designed to simulate a human conversation. In 2019, chatbots were able to handle nearly 69% of chats from start to finish &#8211; a huge jump from the year 2017 when they could process just 20% of requests. In this chapter we will address the problem of building conversational agents or chatbots from corpora for domain-specific educational purposes.<\/p>\n<\/p>\n<p><h2>Build a Simple Chatbot in Python<\/h2>\n<\/p>\n<p><p>You already helped it grow by training the chatbot with preprocessed conversation data from a WhatsApp chat export. In this section, you put everything back together and trained your chatbot with the cleaned corpus from your WhatsApp conversation chat export. At this point, you can already have fun conversations with your chatbot, even though they may be somewhat nonsensical. Depending on the amount and quality of your training data, your chatbot might already be more or less useful. You\u2019ll achieve that by preparing WhatsApp chat data and using it to train the chatbot. Beyond learning from your automated training, the chatbot will improve over time as it gets more exposure to questions and replies from user interactions.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='margin-left:auto;margin-right:auto' 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\" width=\"303px\" alt=\"chatbot with python\" \/><\/p>\n<p><p>Python&#8217;s dominance in the chatbot scene stems from its vast ecosystem of tools and frameworks designed for natural language processing and machine learning. Pre-built tools for tasks like tokenization, part-of-speech tagging, and named entity recognition are available from libraries such as NLTK (Natural Language Toolkit) and spaCy. These technologies allow programmers to concentrate on higher-level logic and functionality. To create a conversational chatbot, you could use platforms like Dialogflow that help you design chatbots at a high level.<\/p>\n<\/p>\n<p><p>We will load the trained model and then use a graphical user interface to predict the bot\u2019s response. We use a special recurrent neural network (LSTM) to figure out which category the user\u2019s message fits into, and then we pick a random response from the list of responses. When it comes to making good customer relationships, chatbots can be a very useful tool. In this step, we will create a simple sequential NN model using one input layer (input shape will be the length of the document), one hidden layer, an output layer, and two dropout layers. In the tech industry, meeting consumer expectations is critical.<\/p>\n<\/p>\n<div style='border: black dashed 1px;padding: 12px'>\n<h3>Learn to Program an AI Chatbot for Your Business in This $30 Course &#8211; Entrepreneur<\/h3>\n<p>Learn to Program an AI Chatbot for Your Business in This $30 Course.<\/p>\n<p>Posted: Sun, 30 Jul 2023 07:00:00 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMib2h0dHBzOi8vd3d3LmVudHJlcHJlbmV1ci5jb20vc2NpZW5jZS10ZWNobm9sb2d5L2xlYXJuLXRvLXByb2dyYW0tYW4tYWktY2hhdGJvdC1mb3IteW91ci1idXNpbmVzcy1pbi10aGlzLzQ1NjM5MNIBAA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<p><p>Python\u2019s Tkinter is a library in Python which is used to create a GUI-based application. In the above image, we have created a bow (bag of words) for each sentence. Basically, a bag of words is a simple representation of each text in a sentence as the bag of its words. Tokenize or Tokenization is used to split a large sample of text or sentences into words.<\/p>\n<\/p>\n<ul>\n<li>And you can see here that a response has this message object, which is essentially a dictionary that has the role assistant because that\u2019s the response we got and the content.<\/li>\n<li>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.<\/li>\n<li>You can see that there is the user content, and then we get this one from OpenAI, which has the response as well as the role assistant.<\/li>\n<li>If so, we might incorporate the dataset into our chatbot&#8217;s design or provide it with unique chat data.<\/li>\n<li>After running the code, you can interact with the chatbot in the terminal itself.<\/li>\n<\/ul>\n<p><p>We are using the Python programming language and the Flask framework to create the webhook. You can choose to use as many logic adapters as you would like. The TimeLogicAdapter returns the current time when the input statement asks for it. The MathematicalEvaluation adapter solves math problems that use basic operations, and BestMatch adapter which finds the best response to the input.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='margin-left:auto;margin-right:auto' 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width=\"307px\" alt=\"chatbot with python\" \/><\/p>\n<p><p>Regardless of IDE you must install the correct libraries and python version in your development environment for this to work. That said, there are many online tutorials on how to get started with Python. Once you have your chatbot built, you&#8217;ll need to host it somewhere so people can interact with it.<\/p>\n<\/p>\n<p><p>Read more about <a href=\"https:\/\/www.metadialog.com\/\">https:\/\/www.metadialog.com\/<\/a> here.<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>How to Build Your AI Chatbot with NLP in Python? &lt;img class=&#039;wp-post-image&#039; style=&#039;margin-left:auto;margin-right:auto&#039; src=&quot;image\/jpeg;base64,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 city chiefs crocs kansas state jersey adidas yeezy women college football&#8230;<\/p>\n","protected":false},"author":2803,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":["post-262240","post","type-post","status-publish","format-standard","hentry","category-education"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - 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