Interact with AI without API key
Project description
python-tgpt
>>> from pytgpt.leo import LEO
>>> bot = LEO()
>>> 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 free LLMs 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 a number of free LLMs available as well as OpenAI's Chapytgpt models, 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)
- ⛓️ Chained requests via proxy
- 🤖 Pass awesome-chapytgpt prompts easily
- 🧠 Multiple LLM providers
Providers
These are simply the hosts of the LLMs, which include:
- Leo - Brave
- FakeOpen
- Koboldai
- OpenGPTs
- OpenAI (API key required)
- WebChatGPT - OpenAI (Session ID required)
- Bard - Google (Session ID required)
Prerequisites
- Python>=3.9 (Optional)
Installation and Usage
Installation
Download binaries for your system from here.
Alternatively, you can install non-binaries. (Recommended)
Choose one of the following methods to get started.
-
From PyPI:
pip install --upgrade python-tgpt
-
Directly from the source:
pip install git+https://github.com/Simatwa/python-tgpt.git
-
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.
Note :
leo
is the default provider.
-
For a quick response:
python -m pytgpt generate "<Your prompt>"
-
For interactive mode:
python -m pytgpt interactive "<Kickoff prompt (though not mandatory)>"
Make use of flag --provider
postfixed with the provider name of your choice. e.g --provider koboldai
You can also simply use pytgpt
instead of python -m pytgpt
.
Starting from version 0.2.7, running $ pytgpt
without any other command or option will automatically enter the interactive
mode. Otherwise, you'll need to explicitly declare the desired action, for example, by running $ pytgpt generate
.
Developer Docs
- Generate a quick response
from pytgpt.leo import LEO
bot = LEO()
resp = bot.chat('<Your prompt>')
print(resp)
# Output : How may I help you.
- Get back whole response
from pytgpt.leo import LEO
bot = LEO()
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
.
- Text Generated only
from pytgpt.leo import LEO
bot = LEO()
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?
"""
- Whole Response
from pytgpt.leo import LEO
bot = LEO()
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}
"""
Note : All providers have got a common class methods.
Openai
import pytgpt.openai as openai
bot = openai.OPENAI("<OPENAI-API-KEY>")
print(bot.chat("<Your-prompt>"))
Koboldai
import pytgpt.koboldai as koboldai
bot = koboldai.KOBOLDAI()
print(bot.chat("<Your-prompt>"))
Fakeopen
import pytgpt.fakeopen as fakeopen
bot = fakeopen.FAKEOPEN()
print(bot.chat("<Your-prompt>"))
Opengpt
import pytgpt.opengpt as opengpt
bot = opengpt.OPENGPT()
print(bot.chat("<Your-prompt>"))
Bard
import pytgpt.bard as bard
bot = bard.BARD('<Path-to-bard.google.com.cookies.json>')
print(bot.chat("<Your-prompt>"))
To obtain more tailored responses, consider utilizing optimizers using the optimizer
parameter. Its values can be set to either code
or system_command
.
optimizer
parameter. Its values can be set to either code
or system_command
.from pytgpt.leo import LEO
bot = LEO()
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 = koboldai.KOBOLDAI(is_conversation=False)
Utilize the --disable-conversation
flag in the console to achieve the same functionality.
Warning : Bard and WebChatGPT autohandles context due to the obvious reason; the
is_conversation
parameter is not necessary at all hence not required when initializing the respective classes.
For more usage info run $ pytgpt --help
Acknowledgements
- tgpt
- You
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