anyllm 0.0.26

Description:

anyllm 0.0.26

🔥 PⒶutoBot 🔥
Private AutoGPT Robot - Your private task assistant with GPT!


🔥 Chat to your offline LLMs on CPU Only. 100% private, no data leaves your execution environment at any point.
🔥 Ask questions to your documents without an internet connection. Engine developed based on PrivateGPT.
🔥 Automate tasks easily with PAutoBot plugins. Easy for everyone.
🔥 Easy coding structure with Next.js and Python. Easy to understand and modify.
🔥 Built with LangChain, GPT4All, Chroma, SentenceTransformers, PrivateGPT.


The supported extensions are:

.csv: CSV,
.docx: Word Document,
.doc: Word Document,
.enex: EverNote,
.eml: Email,
.epub: EPub,
.html: HTML File,
.md: Markdown,
.msg: Outlook Message,
.odt: Open Document Text,
.pdf: Portable Document Format (PDF),
.pptx : PowerPoint Document,
.ppt : PowerPoint Document,
.txt: Text file (UTF-8),

I. Installation and Usage
1. Installation

Python 3.8 or higher.
Install PAutoBot:

pip install pautobot

2. Usage

Run the app:

python -m pautobot.app

or just:
pautobot


Go to http://localhost:5678/ to see the user interface. You can choose one of the two modes:

Chat Only
Documents Q&A


Upload some documents to the app (see the supported extensions above). You can try docs/python3.11.3_lite.zip for a quick start. This zip file contains 45 files from the Python 3.11.3 documentation.
Force ingesting documents with Ingest Data button.

You can also run PAutoBot publicly to your network or change the port with parameters. Example:
pautobot --host 0.0.0.0 --port 8080

II. Development
1. Clone the source code
git clone https://github.com/nrl-ai/pautobot
cd pautobot

2. Run your backend

Python 3.8 or higher.
To install Pautobot from source, from pautobot source code directory, run:

pip install -e .


Run the app:

python -m pautobot.app


Go to http://localhost:5678/ to see the user interface.

2. Run your frontend

Install the dependencies:

cd frontend
npm install


Run the app:

npm run dev


Go to http://localhost:3000/ to see the user interface. Use this address to develop the frontend.