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Financial-Chatbot-Llama2

End-to-end finance chatbot using Meta Llama2


Steps to Run the Project

1. Clone this repository:

git clone https://github.com/arrshsh/Medical-Chatbot-Llama2.git
cd Medical-Chatbot-Llama2

2. Set up Conda environment

conda create -n mchatbot python=3.8 -y
conda activate chatbot

3. Install dependencies

pip install -r requirements.txt

4. Configure .env

Create a .env file in the root directory and add these: PINECONE_API_KEY="your_api_key_here" PINECONE_API_ENV="your_env_here"

5. Downlaod the Llama2 model and place it in model/ folder

Follow this link:

https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/tree/main

6. Generate Pinecone index:

python store_index.py

7. Launch the Flask app:

python app.py

8. Open localhost:5000 in your browser

Landing Page

Tech Stack:

  • Python
  • LangChain
  • Flask
  • Meta Llama2
  • Pinecone

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End to end medical chatbot using Meta Llama2

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