README.md

metadata

title: Career Coach Agent
emoji: 🧑‍💼
colorFrom: blue
colorTo: indigo
sdk: docker
app_port: 7860
python_version: 3.12.3
short_description: AI career coaching assistant powered by Mixtral-8x7B.
tags:
  - career
  - ai
  - langchain
  - gradio
  - smolagents
  - fastapi
  - coaching

Career Coach AI Assistant

A FastAPI and Gradio-based AI assistant that helps users with career development, powered by Mixtral-8x7B-Instruct and LangChain.

Features

• Interactive chat interface built with Gradio
• Career-focused AI assistant using Mixtral-8x7B-Instruct model
• FastAPI backend with RESTful endpoints
• LangChain integration for advanced prompt handling and tool usage
• System prompts and templates managed through YAML configuration

Project Structure

career-coach-agent/
├── app.py              # Main FastAPI application with agent setup
├── Gradio_UI.py        # Gradio interface implementation
├── prompts.yaml        # System prompts and templates
├── main.py            # Application entry point
└── README.md          # This file

Requirements

• Python 3.12+
• FastAPI
• Gradio
• LangChain
• Hugging Face Hub API token

Environment Variables

Required environment variables:

HUGGINGFACEHUB_API_TOKEN=your_huggingface_token

Installation

1. Clone the repository:

git clone <repository-url>
cd career-coach-agent

2. Install dependencies:

pip install fastapi gradio langchain langchain_huggingface pydantic python-multipart uvicorn

3. Set up your Hugging Face API token as an environment variable.

Running the Application

Start the application:

uvicorn main:app --reload

The application will be available at:

• Web Interface: http://localhost:8000
• API Documentation: http://localhost:8000/docs
• Alternative API Documentation: http://localhost:8000/redoc

API Endpoints

/agent/query (POST)

Submit queries to the AI assistant.

Request body:

{
    "query": "string",
    "thread_id": "string (optional)",
    "context": {} (optional)
}

Features

AI Assistant

• Career planning and goal setting
• Professional development advice
• Job search strategies
• Skill development recommendations
• Industry insights and trends

Technical Features

• Real-time chat interface
• Timezone-aware responses
• Session management
• Error handling
• CORS support
• Interactive documentation

Architecture

• FastAPI: Handles HTTP requests and API endpoints
• Gradio: Provides the web interface
• LangChain: Manages the AI agent and tools
• Mixtral-8x7B-Instruct: Powers the AI responses
• YAML Configuration: Manages system prompts and templates

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

[Add your license here]