Welcome to the Medical Chatbot Assistant project! This repository contains a powerful and efficient medical chatbot built using the LLaMA 2 model, Hugging Face embeddings, and Pinecone vector database. The chatbot is designed to assist users with medical inquiries, providing reliable and accurate responses.
MIT License
Welcome to the Medical Chatbot Assistant project! This repository contains a powerful and efficient medical chatbot built using the LLaMA 2 model, Hugging Face embeddings, and Pinecone vector database. The chatbot is designed to assist users with medical inquiries, providing reliable and accurate responses.
https://github.com/user-attachments/assets/5f284cde-532f-4c96-9258-1b2760d254ee
https://github.com/user-attachments/assets/751fa823-1140-45a4-82b5-5181e8fabb69
Clone the repository:
git clone https://github.com/muhammadadilnaeem/Medical-Chatbot-Assistant-Using-Llama2-and-HuggingFace-Embeddings-and-Pinecone-Vector-db.git
cd Medical-Chatbot-Assistant-Using-Llama2-and-HuggingFace-Embeddings-and-Pinecone-Vector-db
Install dependencies:
pip install -r requirements.txt
Set up environment variables:
Create a .env
file in the root directory and add your API keys and configuration settings:
HUGGINGFACE_API_KEY=your_huggingface_api_key
PINECONE_API_KEY=your_pinecone_api_key
Run the application:
python app.py
This project is licensed under the MIT License. See the LICENSE file for more details.
For any questions or inquiries, please reach out to me at [email protected].