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In this Python Chatbot Tutorial, we will build a chatbot using the Natural Language Toolkit (NLTK) and Tensorflow libraries in Python. This how to create chatbot using python video will use NLTK to preprocess text data and Tensorflow to build a neural network for generating responses. In the tutorial, we will use intents.json file to define the different intents (or categories) that the chatbot is trained to recognize and respond to.
Here we start with:
00:00:00 Introduction to Python chatbot tutorial
00:00:18 Simplilearn PCP in AI and ML course
00:01:03 Quiz Question
00:02:45 Setting up Virtual Environment
00:04:12 Setting up the intents.json file
00:06:05 Install Required Libraries
00:09:35 Import Required Libraries
00:14:23 Initialize Variables
00:21:16 Create training data
00:28:46 Designing a neural network model
00:40:49 Creating a chatbot.py python file for implementing our chatbot
00:44:35 Import Libraries in chatbot python file
00:47:11 Load the pretrained data
00:49:15 Defining functions
01:03:10 Defining the main program
What is a Chatbot?
A chatbot is a computer program designed to simulate human conversation. Chatbots can be used for a wide range of purposes, from answering customer service inquiries to providing recommendations for products and services.
Link to source code files: https://github.com/abhisarahuja/create_chatbot_using_python.git
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⏩ Check out the Python training videos: https://youtube.com/playlist?list=PLGevxjyhYfA7bPQFIBwnxLvmB0EIe0Hot
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️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You’ll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
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Skills Covered
– ChatGPT
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– Python
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