Want to Build Your Own AI Chatbot? Try Pythonaibrain v1.1.8 in Python

#python #ai #tutorial #pythonaibrain

Want to Build Your Own AI Chatbot? Try Pythonaibrain v1.1.8 in Python

Author: Divyanshu Sinha
Tags: #python #ai #chatbot #pythonaibrain #tutorial

Want to Build Your Own AI?

If you’ve ever wanted to create a chatbot, Pythonaibrain v1.1.8 makes it super easy. Even if you’re new to AI, this Python toolkit lets you train, save, and run your own chatbot using simple intents.

In this tutorial, we’ll go step by step:

Install Pythonaibrain
Create intents for your chatbot
Train and save your AI
Run a fully interactive chatbot

By the end, you’ll have a chatbot ready to talk to anyone!

Step 1: Install Pythonaibrain

Open your terminal and run:

pip install pythonaibrain==1.1.8

Make sure you have Python 3.8 or higher installed.

Step 2: Create Your Chatbot Intents

Create a file named intents.json in your project folder. This is where you define what your chatbot can understand and respond to:

{
  "intents": [
    {
      "tag": "greeting",
      "patterns": ["Hi", "Hello", "Hey"],
      "responses": ["Hello!", "Hi there!", "Hey! How can I help you?"]
    },
    {
      "tag": "goodbye",
      "patterns": ["Bye", "See you", "Goodbye"],
      "responses": ["Goodbye!", "See you later!", "Take care!"]
    }
  ]
}

Tip: Each intent has a tag, patterns (user inputs), and responses (bot replies).

Step 3: Write the Chatbot Code

Create a Python file, e.g., chatbot.py, and add:

from pyaitk import Brain

# Initialize Brain object. Leave blank if your intents file is named 'intents.json', it will auto-detect and load.
brain = Brain()

# Train the model using the loaded intents
brain.train()

# Save the trained model for future use
brain.save()

# If the model is already trained, simply load it using:
# brain.load()
# This avoids retraining the model

# Prompt the user to enter their name
username = input("Your name : ")

while True:
    # Take user input (query) in a chat-like format
    query = input(f"{username} : ")

    # Process the user query and generate a response (returns a string)
    answer = brain.process_messages(query, False)

    # If the user types 'bye', exit the chat loop
    if query.lower() == "bye":
        print(f"Pythonaibrain : {answer}")
        break

    # Display the chatbot's response
    print(f"Pythonaibrain : {answer}")

Step 4: How It Works

Brain Initialization: Brain() automatically loads intents.json.
Training: brain.train() teaches the AI to recognize patterns and respond.
Saving: brain.save() stores the trained model for future use.
Chat Loop: Keeps asking the user for input until "bye" is typed.
Processing Messages: brain.process_messages(query, False) generates AI responses.