Do It Yourself – Website Tutorials
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In this video we tried to Build a simple chat bot using Flask with Python Knowledge. Its not like building and running on your IDLE but with Chatbot Interface using HTML, CSS, Js.
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If you need HTML File where we used in this video. Send “Hi I want HTML File for Chatbot with Flask” to [email protected]. You will get your file in reply. Above message is must, so that we’ll know which file to send. Thank you.
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This video is all about how python can be used in various applications. The key aspects you will learn in this video,
00:09 Introduction
00:46 What is an API [Application Programming Interface]
02:19 How Flask can be used in Python Programming
02:51 Difference between Flask and Django
03:27 Important API Operations [CRUD Operations]
05:55 How to Build an API for Chatbot using Python Software
08:44 How to Import Flask
09:53 How to Create a Python File by making a directory with dos commands
19:36 Creating Chatbot with flask
20:28 Creating another directory to store your HTML files
25:44 Installing ChatterBot Package version 1.0.1
26:43 Creating custom YML files
27:58 Corpus explained
29:16 Creating our own Corpus
33:50 Training our Data with the help of Chatterbot
37:22 Creating Conversations on YML formats in Chatterbot corpus
43:46 Creating another application for fetching data from URL
46:58 Creating HTML page for user interface of Chatbot with some Java Script
01:08:15 Executing and Training our Python File
01:08:56 Chatbot created using Flask Framework
01:09:18 Testing our Chatbot
Our Previous Tutorials on Python. Don’t miss.
Web Scraping using Python
How to send Automated Emails using simple Python Code
Face recognition with Python
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We always used to believe in student-centric methods. Every student, if trained in a Real-Time environment can achieve more in their careers. Hence, CodeGnan offers courses where students can access live environments and nourish themselves in the best way possible in order to increase their “CodeGnan”.
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CodeGnan offers courses in new technologies and makes sure students understand the flow of work from each and every perspective in a Real-Time environment.
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