Medical Chatbot: A Medical Chatbot

Description

Medical Chatbot is a conversational AI chatbot designed to provide information about medical conditions, symptoms, and treatments. It is built using Python, Streamlit for the frontend, FastAPI for the backend, and LangChain/LangGraph for the conversational logic.

Features

• Interactive Chat Interface: A user-friendly web interface for interacting with the chatbot.
• Medical Information: Provides information on a wide range of medical topics.
• Disclaimer: Includes a disclaimer in every response to advise users to consult with a healthcare professional.
• Clear Conversation History: Allows users to clear the conversation history.
• Download Conversation: Download your chat as a text file with a timestamped filename for easy organization.
• Symptom Checker: Enter symptoms and get possible conditions.
• Feedback Submission: Submit feedback on chatbot answers.
• View Conversation History: See all previous conversations in the session.

Getting Started

Prerequisites

• Python 3.7+
• An OpenAI API key

Installation

1. Clone the repository:

   git clone <repository_url>
   cd Medical Chatbot

2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

3. Install the dependencies:

   pip install -r requirements.txt

4. Set up your OpenAI API key: Create a .env file in the root directory of the project and add your OpenAI API key as follows:

   OPENAI_API_KEY="your_openai_api_key"
   

Running the Application

1. Start the backend server:

   python main.py

2. In a new terminal, start the frontend application:

   streamlit run frontend.py

3. **Open your web browser and navigate to http://localhost:8501

Project Structure

.
├── api.py              # Defines the FastAPI backend application.
├── frontend.py         # Defines the Streamlit frontend application.
├── graph.py            # Defines the LangGraph conversational graph.
├── main.py             # The entry point for the backend server.
├── nodes.py            # Contains the nodes for the LangGraph graph.
├── requirements.txt    # Lists the Python dependencies for the project.
├── state.py            # Defines the conversation state.
└── README.md           # This file.

Dependencies

• fastapi
• uvicorn
• langchain
• langchain-openai
• streamlit
• requests
• langgraph

Disclaimer

This chatbot is an AI assistant and not a real doctor. Please consult with a healthcare professional for any medical advice. The information provided by this chatbot is for informational purposes only and should not be considered as medical advice.

MediBot