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CAI is a new open source AI framework that automates penetration testing tasks like scanning and exploitation up to 3,600× faster than humans.
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.
Make your first AI Assistant in Python. No complex setup, no advanced coding. Just install, configure, and run!
Install the PythonAIBrain package:
pip install pythonaibrain==1.1.8
The pyaitk
toolkit supports Camera to click photos and make videos. It can save photos/videos and send them to PyAI for processing.
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')
Converts text to speech in male or female voice.
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.
Extracts text from a PDF or image.
import pyaitk
from pyaitk import PTT
ptt = PTT(path='example.pdf') # Provide your file path
print(ptt) # Extracted text output
Extracts answers from a given text context.
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)
A simple AI brain module that classifies input messages and extracts entities like name, location, and age.
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.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.
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)}')
An advanced version of the Brain module with smarter classification and better entity recognition.
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)}')
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 |
If you prefer not to code your own AI, use the built-in PyBrain GUI or web assistant.
import PyAgent
PyAgent.App()
from PyAgent import PYAS
PYAS.app.run(debug=False)
Or
from PyAgent import Server
server = Server()
server.run()
Start building your AI assistant today with PythonAIBrain! Try to ask your doubt with AI releated to this package!
FAQs
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.
We found that pythonaibrain demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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