LLM-Drug-Interaction-Checker

A Streamlit-based application that uses Large Language Models (LLMs) from Hugging Face to detect potential drug-drug interactions and side effects. This app allows users to input medications and provides detailed information on interactions and side effects, aiding in safe medication usage.

Features

• Detects drug-drug interactions based on user input.
• Uses free foundation models from Hugging Face (e.g., GPT-2, GPT-J, BioGPT).
• Simple UI powered by Streamlit for user-friendly interaction.

Tech Stack

• Streamlit: Fast and easy app deployment.
• Hugging Face Transformers: Utilized for language models.
• Python: Backend logic.
• Hugging Face Models: GPT-2, GPT-J, or healthcare-specific models like BioGPT.

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/LLM-Drug-Interaction-Checker.git
   cd LLM-Drug-Interaction-Checker

2. Install the required packages:

   pip install -r requirements.txt

3. Run the Streamlit app:

   streamlit run app.py
   
   

Usage

• After running the app, navigate to the local URL provided by Streamlit.
• Input the medications you want to check for interactions, separated by commas.
• Press the "Check Interactions" button to get results on potential drug-drug interactions and side effects.