pythonaibrain 1.1.8

PythonAIBrain is a versatile, plug-and-play Python package designed to help you build offline intelligent AI assistants and applications effortlessly. With modules covering speech recognition, text-to-speech, image generation, natural language understanding, and more, PythonAIBrain lets you create powerful AI solutions without deep expertise or complex setup. Whether you’re a beginner or an experienced developer, get ready to bring your AI ideas to life quickly and efficiently.

PythonAIBrain

Make your first AI Assistant in Python. No complex setup, no advanced coding. Just install, configure, and run!

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Installation

Install the PythonAIBrain package:

pip install pythonaibrain==1.1.8

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Modules

• Camera
• TTS (Text To Speech)
• PTT (PDF To Text)
• ITT (Image To Text)
• MethAI
• Search
• Memory
• Context
• Brain
• Advance Brain

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Camera Module

The pyaitk toolkit supports Camera to click photos and make videos. It can save photos/videos and send them to PyAI for processing.

Example: Start your camera

import pyaitk
from pyaitk import Camera
import tkinter as tk

root = tk.Tk()          # Create GUI
Camera(root)            # Start camera and pass root as master
root.mainloop()         # Run the GUI

Or simply:

from pyaitk.Camera import Start
Start()

Or via Brain module:

from pyaitk import Brain

brain = Brain()
brain.load()
brain.process_messages('Click Photo')

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TTS (Text To Speech)

Converts text to speech in male or female voice.

Example

import pyaitk
from pyaitk import TTS

tts = TTS(text='Hello World')
tts.say(voice='david')    # Male voice in windows
tts.say(voice='zira')  # Female voice in windows
tts.say(voice= 'alex') # Male voice in macos
tts.say(voice= 'samantha') # Female voice in macos
tts.say(voice= 'english') # for linux

By default, tts.say() uses the male voice of windows so agrest with your device type, also see the TTS doc.

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PTT (PDF To Text)

Extracts text from a PDF or image.

Example

import pyaitk
from pyaitk import PTT

ptt = PTT(path='example.pdf')  # Provide your file path
print(ptt)                     # Extracted text output

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Context Module

Extracts answers from a given text context.

Example

import pyaitk
from pyaitk import Contexts

context = '''
Patanjali Ayurved is an Indian company. It was founded by Baba Ramdev and Acharya Balkrishna in 2006.
'''

question = 'Who founded Patanjali Ayurved?'
contexts = Contexts()
answer = contexts.ask(context=context, question=question)
print(answer)

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Brain Module

A simple AI brain module that classifies input messages and extracts entities like name, location, and age.

Message types classified

• Question
• Answer
• Command
• Shutdown
• Make Directory
• Statement
• Name
• Know
• Start

Notes:

• Shutdown and Start commands require terminal support and do not work on Android or iOS.
• Make Directory creates folders on your device.
• Statement is any plain text that is not a command/question.
• Name detects if a message contains a person's name.

How to create intents.json

{
  "intents": [
    {
      "tag": "greeting",
      "patterns": ["Hi", "Hello", "Hey", "What's up?", "Howdy"],
      "responses": ["Hello! How can I help you today?", "Hey there!", "Hi! What can I do for you?"]
    },
    {
      "tag": "bye",
      "patterns": ["Bye", "See you soon", "Take care"],
      "responses": ["Bye! Have a great day", "See you"]
    }
  ]
}

Save this as a .json file and provide it to the Brain module.

Usage

from pyaitk import Brain

brain = Brain(intents_path='intents.json')  # or Brain() with default
brain.train()
brain.save()
message = input('Message: ')
message_type = brain.predict_message_type(message=message)

if message_type in ['Question', 'Answer']:
    print(f'Answer: {brain.process_messages(message=message)}')

Note : train and save the file when use first time or change the default intents.json with your intents.json otherwise use load function by writting,

brain.load() # it returns bool

And also don't forgot to load otherwise it through an error Or,

from pyaitk import Brain

brain = Brain()
brain.load()
message = input('Message: ')
message_type = brain.predict_message_type(message=message)

if message_type in ['Question', 'Answer']:
    print(f'Answer: {brain.process_messages(message=message)}')

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Advance Brain Module

An advanced version of the Brain module with smarter classification and better entity recognition.

Usage

from pyaitk import AdvanceBrain

advance_brain = AdvanceBrain(intents_path='intents.json')  # or AdvanceBrain()

message = input('Message: ')
message_type = advance_brain.predict_message_type(message=message)

if message_type in ['Question', 'Answer']:
    print(f'Answer: {advance_brain.process_messages(message=message)}')

Same limitations apply as Brain module for commands.

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Python AI Modules Summary

Module Name	Description
Brain	Basic AI brain using .json knowledge base
AdvanceBrain	Advanced AI brain with better understanding
TTS	Text to speech
STT	Speech to text
MathAI	Use to solve complex math problems
ITT	Image to text extraction
Camera	Capture photos and videos
Context	Get answers from text contexts

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Built-in AI Assistant - PyBrain

If you prefer not to code your own AI, use the built-in PyBrain GUI or web assistant.

GUI

import PyAgent
PyAgent.App()

Web Server

from PyAgent import PYAS
PYAS.app.run(debug=False)

Or

from PyAgent import Server
server = Server()
server.run()

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Visit PyPI for installation and more details.

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Start building your AI assistant today with PythonAIBrain! Try to ask your doubt with AI releated to this package!