Python Code to Read two Strings & Concatenate the StringsĢ1. Python code to Check if a given String is PalindromeĢ0. Python code to Find the Frequency of Odd & Even Numbers in the given Listġ9. ![]() Python code to get transpose matrix of a given Matrixġ8. Python code to Compute the Product of Two Matricesġ7. Python code for Addition and subtraction of two matrices using lists.ġ6. Python code to delete an Element from a Specified Position in a given listġ5. Python Code to Insert an Element at a Specified Position in a given listġ4. ![]() Python Code to separate Even & Odd Elements of a list in 2 Separate listsġ3. Python code to find the largest two numbers in a given listġ2. Python code to Calculate sum and average of a list of Numbersġ1. Python code to print program name and arguments passed through command lineġ0. Python code to extract the last two digits of a numberĩ. Python code to print sum of first 100 Natural NumbersĨ. Python code to reverse an integer numberħ. Python code to return the elements on odd positions in a list.Ĥ. Python code that takes a number & returns a list of its digitsĦ. Python Code to return the largest and smallest element in a list.ģ. Python Code to remove redundant data from a list.Ģ. ![]() With this knowledge, you can now build your own chatbot and integrate it into your business or personal projects.ġ. We’ve also included a chatbot project in Python with source code to help you get started. In this guide, we’ve covered the basics of building a chatbot with Python, including the pre-requisites, required libraries, virtual environment setup, chatbot design, and implementation. It includes a GUI interface built using the tkinter library, and can respond to a variety of user input, including greetings, questions, and statements. This project is a rule-based chatbot that uses NLTK for natural language processing. To help you get started with building your own chatbot, here’s a chatbot project in Python with source code: Chatbot Project in Python with Source Code: The response is then sent back to the client using the emit function. When the user submits their input, the handle_user_input function is called, which calls the generate_response function to generate a response to the user input. We’ve also defined a route that renders an HTML template, which contains a text input and a button for the user to submit their input. In the code above, we’ve defined a Flask application and initialized a SocketIO instance. Here’s the code for implementing the chatbot:įrom flask_socketio import SocketIO, emit Flask is a micro web framework for building web applications, and Flask-SocketIO is a library that enables real-time communication between the server and the client. Now that we’ve designed the chatbot, let’s implement it using Flask and Flask-SocketIO. If the input text contains the keyword “hello,” the chatbot responds with “Hi there!” If the input text contains the keyword “how are you,” the chatbot responds with “I am doing well, thank you!” If the input text contains the keyword “what can you do,” the chatbot responds with “I can answer your questions and provide assistance.” For any other input, the chatbot responds with “I am sorry, I do not understand your question.” In the example above, we’ve defined a function generate_response that takes an input text and generates a response based on certain keywords. Response = 'I am sorry, I do not understand your question.' Response = 'I can answer your questions and provide assistance.' # Define a function to generate a response to user input You can install these libraries using the pip package manager.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |