python-tgpt 0.1.0

Interact with AI without API key

python-tgpt

AI for all

>>> import tgpt
>>> bot = tgpt.TGPT()
>>> bot.chat('Hello there')
"  Hello! It's nice to meet you. Is there something I can help you with or would you like to chat?"
>>> 

This project enables seamless interaction with LLaMA AI without requiring an API Key.

The name python-tgpt draws inspiration from its parent project tgpt, which operates on golang. Through this Python adaptation, users can effortlessly engage with LLaMA's capabilities, fostering a smoother AI interaction experience.

Features

• 🗨️ Enhanced conversational chat experience
• 💾 Capability to save prompts and responses (Conversation)
• 🔄 Ability to load previous conversations
• ⌨️ Command-line interface
• 🐍 Python package
• 🌊 Stream and non-stream response
• 🚀 Ready to use (No API key required)

Prerequisites

• Python>=3.9

Installation and Usage

Installation

Choose one of the following methods to get started.

1. From PyPI:

   pip install --upgrade python-tgpt
   

2. Directly from the source:

   pip install git+https://github.com/Simatwa/python-tgpt.git
   

3. Clone and Install:

   git clone https://github.com/Simatwa/python-tgpt.git
   cd python-tgpt
   pip install .
   

Usage

This package offers a convenient command-line interface.

• For a quick response:

  python -m tgpt generate "<Your prompt>"
  

• For interactive mode:

  python -m tgpt interactive "<Kickoff prompt (though not mandatory)>"
  

You can also simply use tgpt instead of python -m tgpt.

Starting from version 0.0.6, generate is the default command. Therefore, something like this will still work: tgpt "<Your prompt>".

Developer Docs

1. Generate a quick response

from tgpt import TGPT
bot = TGPT()
resp = bot.chat('<Your prompt>')
print(resp)
# Output : How may I help you.

2. Get back whole response

from tgpt import TGPT
bot = TGPT()
resp = bot.ask('<Your Prompt')
print(resp)
# Output
"""
{'completion': "I'm so excited to share with you the incredible experiences...", 'stop_reason': None, 'truncated': False, 'stop': None, 'model': 'llama-2-13b-chat', 'log_id': 'cmpl-3NmRt5A5Djqo2jXtXLBwJ2', 'exception': None}
"""

Stream Response

Just add parameter stream with value true.

1. Text Generated only

from tgpt import TGPT
bot = TGPT()
resp = bot.chat('<Your prompt>', stream=True)
for value in resp:
    print(value)
# output
"""
How may
How may I help 
How may I help you
How may I help you today?
"""

2. Whole Response

from tgpt import TGPT
bot = TGPT()
resp = bot.ask('<Your Prompt>', stream=True)
for value in resp:
    print(value)
# Output
"""
{'completion': "I'm so", 'stop_reason': None, 'truncated': False, 'stop': None, 'model': 'llama-2-13b-chat', 'log_id': 'cmpl-3NmRt5A5Djqo2jXtXLBwxx', 'exception': None}

{'completion': "I'm so excited to share with.", 'stop_reason': None, 'truncated': False, 'stop': None, 'model': 'llama-2-13b-chat', 'log_id': 'cmpl-3NmRt5A5Djqo2jXtXLBwxx', 'exception': None}

{'completion': "I'm so excited to share with you the incredible ", 'stop_reason': None, 'truncated': False, 'stop': None, 'model': 'llama-2-13b-chat', 'log_id': 'cmpl-3NmRt5A5Djqo2jXtXLBwxx', 'exception': None}

{'completion': "I'm so excited to share with you the incredible experiences...", 'stop_reason': None, 'truncated': False, 'stop': None, 'model': 'llama-2-13b-chat', 'log_id': 'cmpl-3NmRt5A5Djqo2jXtXLBwxx', 'exception': None}
"""

To obtain more tailored responses, consider utilizing optimizers using the optimizer parameter. Its values can be set to either code or system_command.

from tgpt import TGPT
bot = TGPT()
resp = bot.ask('<Your Prompt>', optimizer='code')
print(resp)

Note: Commencing from v0.1.0, the default mode of interaction is conversational. This mode enhances the interactive experience, offering better control over the chat history. By associating previous prompts and responses, it tailors conversations for a more engaging experience.

You can still disable the mode:

bot = tgpt.TGPT(is_conversation=False)

Utilize the --disable-conversation flag in the console to achieve the same functionality.

Acknowledgements

1. tgpt
2. You