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Use huggingface models to create an intelligent and scalable chatbot

Project description

Genius Chatbot

Version: 0.15.0

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
-b --batch-token Number of tokens per batch
-c --chunks Number of chunks to use
-d --directory Directory for chromadb and model storage
-e --embeddings-model Embeddings model to use
-j --json Export to JSON
-p --prompt Prompt for chatbot
-q --mute-stream Mute stream of generation
-m --model Copy GPT4All .bin file from the Model Explorer
-p --prompt Prompt for chatbot
-s --hide-source Hide source of answer
-t --max-token-limit Maximum token to generate
-x --model-engine GPT4All or LlamaCPP

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  \
    --model "wizardlm-13b-v1.1-superhot-8k.ggmlv3.q4_0.bin" \
    --prompt "Chatbots are cool because they" \
    --model-engine "GPT4All" \
    --assimilate "/directory/of/documents" \
    --json

Install Instructions

Install Python Package

Windows Prerequisites:

Visual Studio Code 2022

Ubuntu Prerequisites:

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

Build Instructions

Build Python Package

sudo chmod +x ./*.py
sudo pip install .
python3 setup.py bdist_wheel --universal
# Test Pypi
twine upload --repository-url https://test.pypi.org/legacy/ dist/* --verbose -u "Username" -p "Password"
# Prod Pypi
twine upload dist/* --verbose -u "Username" -p "Password"

Project details


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