medical-chatbot

End-to-end-Medical-Chatbot-hugging-face-embeddings-mistral

How to run?

STEPS:

Clone the repository

Project repo: https://github.com/devs6186/medical-chatbot.git

STEP 01- Create a conda environment after opening the repository

conda create -n mchatbot python=3.10 -y

conda activate mchatbot

STEP 02- install the requirements

pip install -r requirements.txt

Create a .env file in the root directory and add your Pinecone credentials as follows:

PINECONE_API_KEY = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
MISTRAL_API_KEY = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
FLASK_SECRET_KEY= "XXXXXXXXXXXXXXXXXXXXXXXXXXXXX"

Download the quantize model from the link provided in model folder & keep the model in the model directory:

model_name='sentence-transformers/all-MiniLM-L6-v2'

```bash
# run the following command
python store_index.py

# Finally run the following command
python app.py

Now,

open up localhost:

Techstack Used:

• Python
• LangChain
• Flask
• Mistral
• Pinecone