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), andresponses
(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 loadsintents.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.
Step 5: Try It Out
Run your Python file:
python chatbot.py
Then start chatting with your AI! Try saying Hi, Hello, or Bye, and watch how it responds intelligently.
Optional Enhancements
- Add more intents to handle more conversations.
- Integrate with a GUI (Tkinter or CustomTkinter) for a visual chatbot.
- Save conversations to a log file.
- Connect it with Telegram, Discord, or a web app.
Conclusion
Building your own AI chatbot is easier than ever with Pythonaibrain v1.1.8. You’ve learned how to:
- Define intents in JSON
- Train and save your chatbot
- Run an interactive chat loop
Now it’s your turn experiment, add more features, and make your AI smarter! 🚀
For more check it out Pythonaibrain v1.1.8
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