Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/echosingh/fastmedicalbot

Fast Medical chatbot tell you queries about every desiase
https://github.com/echosingh/fastmedicalbot

biomistral llm medical-chatbot notebook-jupyter step-by-step-guide

Last synced: 2 days ago
JSON representation

Fast Medical chatbot tell you queries about every desiase

Host: GitHub
URL: https://github.com/echosingh/fastmedicalbot
Owner: EchoSingh
License: mit
Created: 2024-05-23T19:44:02.000Z (6 months ago)
Default Branch: main
Last Pushed: 2024-07-24T03:38:35.000Z (4 months ago)
Last Synced: 2024-07-24T05:32:21.911Z (4 months ago)
Topics: biomistral, llm, medical-chatbot, notebook-jupyter, step-by-step-guide
Language: Jupyter Notebook
Homepage:
Size: 11.1 MB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

# 🩺 FAST MEDICAL Chatbot

![Medical Bot](https://cdn.dribbble.com/users/29678/screenshots/2407580/media/34ee4b818fd4ddb3a616c91ccf4d9cfc.png)

![Result](https://github.com/aditya26062003/FastMedicalBot/blob/main/result1.png)
## Get Answers in Seconds

This repository contains a medical chatbot powered by the Medical-Llama3-8B model. The chatbot is designed to assist users with medical queries using a conversational retrieval chain.

## Features

- Utilizes the `Medical-Llama3-8B` model for medical information.
- Incorporates document embeddings and a vector store for improved information retrieval.
- Provides a user-friendly interface with Gradio.
- Customizable model parameters through the Gradio interface.

## Setup

### Prerequisites

- Python 3.7 or higher
- CUDA-compatible GPU (for running the model efficiently)

### Installation

1. Clone the repository:

```bash
git clone https://github.com/EchoSingh/medical-chatbot.git
cd medical-chatbot
```

2. Install the required packages:

```bash
pip install -r requirements.txt
```

3. Install the `bitsandbytes`, `transformers`, and `accelerate` packages:

```bash
pip install --upgrade bitsandbytes transformers accelerate -i https://pypi.org/simple/
```

### Using the Model

`Biomistral'.

## Usage

1. Run the Jupyter cell code.

2. Open the provided link to access the Gradio interface.

### Example Usage

Here's an example of how to use the chatbot:

- Type your question in the provided textbox.
- Adjust the parameters like `Max New Tokens`, `Temperature`, and `Context Length` as needed.
- Get the response from the chatbot displayed in a scrollable box.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Acknowledgments

- The `Biomistral`
- [Gradio](https://gradio.app/) for providing a user-friendly interface for machine learning models