PythonAIBrain
Make your first AI Assistant in Python. No complex setup, no advanced coding. Just install, configure, and run!
Installation
Install the PythonAIBrain package:
pip install pythonaibrain==1.1.8
Modules
- Camera
- TTS (Text To Speech)
- PTT (PDF To Text)
- ITT (Image To Text)
- MethAI
- Search
- Memory
- Context
- Brain
- Advance Brain
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()
Camera(root)
root.mainloop()
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')
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')
tts.say(voice='zira')
tts.say(voice= 'alex')
tts.say(voice= 'samantha')
tts.say(voice= 'english')
By default, tts.say()
uses the male voice of windows so agrest with your device type, also see the TTS doc.
PTT (PDF To Text)
Extracts text from a PDF or image.
Example
import pyaitk
from pyaitk import PTT
ptt = PTT(path='example.pdf')
print(ptt)
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)
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')
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()
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)}')
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')
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.
Python AI Modules Summary
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 |
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()
Visit PyPI for installation and more details.
Start building your AI assistant today with PythonAIBrain!
Try to ask your doubt with AI releated to this package!