The development of the Medical Chatbot using Llama 2 signifies a significant advancement in AI-driven healthcare solutions. By providing accurate and timely medical information, the chatbot aims to empower users in navigating their health concerns while improving overall accessibility to healthcare services .
Project repo: https://github.com/
conda create -n mchatbot2 python=3.9 -y
conda activate mchatbot2
pip install -r requirements.txt
PINECONE_API_KEY = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
PINECONE_API_ENV = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
Download the quantize model from the link provided in model folder & keep the model in the model directory:
## Download the Llama 2 Model:
llama-2-7b-chat.ggmlv3.q4_0.bin
## From the following link:
https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/tree/main
# run the following command
python store_index.py
# Finally run the following command
python app.py
Now,
open up localhost:
- Python
- LangChain
- Flask
- Meta Llama2
- Pinecone