Acess the chatbot here :

Mental Health Chatbot

Table of Contents

• Features
• How It Works
• Getting Started
• Installation
• Usage
• Customization
• Contributing
• License

Features

• Conversational interface for mental health support
• Contextual understanding using LangChain and LLMs
• Example Jupyter notebooks for interactive experimentation
• Modular and extensible codebase for custom mental health scenarios
• Resource suggestions and wellness tips

How It Works

Getting Started

Prerequisites

• Python 3.8+
• pip
• Jupyter Notebook or JupyterLab

Installation

1. Clone the repository:
   bash

   1git clone https://github.com/chandrakant1212/mental-health-chatbot.git 2cd mental-health-chatbot
2. Create and activate a virtual environment (recommended):
   bash

   1python -m venv venv 2source venv/bin/activate # On Windows: venv\Scripts\activate
3. Install required libraries:
   You need to install the following libraries before running the notebook.
   pip install langchain_groq langchain_core langchain_community pypdf chromadb sentence-transformers torch gradio --upgrade
   Alternatively, you can install them all at once with:
   pip install langchain langchain-community langchain-groq chromadb sentence-transformers torch gradio pypdf --upgrade
   • langchain, langchain-core, langchain-community, langchain-groq: For managing conversation flows and integrating various language models.
   • chromadb: For vector storage and retrieval.
   • sentence-transformers: For embedding and semantic search.
   • torch: Required for some transformer models.
   • gradio: For building simple web UIs (optional, if you want a demo interface).
   • pypdf: For PDF parsing (if your chatbot uses document ingestion).
   Note: If you encounter issues with package versions, try upgrading (--upgrade or -U) or install specific versions as required by your environment.
4. (Optional) Set up environment variables:
   If you are using OpenAI, Groq, or another API, ensure you set your API key(s):
   bash

   1OPENAI_API_KEY=your-api-key-here 2TOGETHER_API_KEY=your-together-api-key-here
   Or create a .env file with:

   OPENAI_API_KEY=your-api-key-here
   GROQ_API_KEY=your-groq-api-key-here

Usage

1. Launch Jupyter Notebook:
   jupyter notebook
2. Open the provided notebook(s):
   • Explore the main notebook to interact with the chatbot.
   • Run the cells step by step to initialize the model and start chatting.
3. Customize Prompts or Chains:
   • Modify the prompt templates, chains, or components in the notebook to tailor the chatbot to specific mental health themes or requirements.

Customization

• Swap Language Models:
  You can use different LLM providers supported by LangChain (OpenAI, Groq, HuggingFace, etc.).
• Enhance Dialogue:
  Add new intents, resource links, or conversation routes for richer interactions.
• Integrate UI:
  This chatbot can be adapted into web or mobile apps using frameworks like Streamlit or Gradio.

Contributing

1. Fork the repository
2. Create your branch: git checkout -b feature/your-feature-name
3. Commit your changes: git commit -am 'Add new feature'
4. Push to the branch: git push origin feature/your-feature-name
5. Open a pull request

License