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Use huggingface models to create an intelligent and scalable chatbot

Project description

Genius Chatbot

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Version: 1.3.0

Chatbot that uses any desired hugging face model or allows for scalable intelligence based on hardware limitations

Usage:

Short Flag Long Flag Description
-h --help See Usage
-a --assimilate Assimilate knowledge from media provided in directory
--batch-token Number of tokens per batch
--chromadb-directory Number of chunks to use
--chunks Number of chunks to use
-e --embeddings-model Embeddings model to use
--hide-source Hide source of answer
-j --json Export to JSON
--openai-token OpenAI Token
--openai-api OpenAI API Url
--pgvector-user PGVector user
--pgvector-password PGVector password
--pgvector-host PGVector host
--pgvector-port PGVector port
--pgvector-database PGVector database
--pgvector-driver PGVector driver
-p --prompt Prompt for chatbot
--mute-stream Mute stream of generation
-m --model Copy GPT4All .bin file from the Model Explorer
--max-token-limit Maximum token to generate
--model-directory Directory to store models locally
--model-engine GPT4All LlamaCPP, or OpenAI

Example:

Your very first time running should assimilate up to 3 documents to establish the Chroma Database. This will unlock prompting

genius-chatbot --assimilate "/directory/of/documents"
genius-chatbot --prompt "What is the 10th digit of Pi?"
genius-chatbot --prompt "Chatbots are cool because they" \
    --model "wizardlm-13b-v1.1-superhot-8k.ggmlv3.q4_0.bin" \
    --model-engine "GPT4All" \
    --assimilate "/directory/of/documents" \
    --json

Install Instructions

Install Python Package

Windows Prerequisites:

Visual Studio Code 2022

winget install -e --id Kitware.CMake

Ubuntu Prerequisites:

apt install -y pandoc
python -m pip install genius-chatbot

Repository Owners:

GitHub followers GitHub User's stars

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