A Step-by-Step Guide with OpenAI’s Assistant and Code Interpreter API

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This repository contains the code for building and deploying an AI Assistant using OpenAI’s API, which includes capabilities for processing and analyzing data with a powerful code interpreter. This AI Assistant is designed to interact with backend systems, providing data-driven insights and automated responses based on natural language queries.

https://github.com/mohamadawaisy/CodeInterpreter-Assistant

Features

  • AI Assistant Initialization: Set up an AI assistant that can execute code, analyze data, and provide actionable insights.
  • Data File Management: Upload and manage files directly through the OpenAI API, allowing the AI to work with specific datasets.
  • Advanced Data Analysis: Use the code interpreter tool to process data queries and return results including diagrams, charts, and CSV files.
  • Logging and Error Handling: Incorporate sophisticated logging for debugging and monitoring the assistant’s operations.

Getting Started

Prerequisites

  • Python 3.8 or later
  • OpenAI API key

Installation

  1. Clone the repository:

    git clone https://github.com/mohamadawaisy/CodeInterpreter-Assistant.git
cd CodeInterpreter-Assistant

  2. Install the required dependencies:

    pip install -r requirements.txt

Configuration

  1. Create a config.json file in the root directory with your OpenAI API key:

    {
    "openai_api_key": "your_openai_api_key"
}

Usage

  1. Import the DataAssistant class:

    from data_assistant.assistant import DataAssistant

  2. Initialize the DataAssistant:

    assistant = DataAssistant("path_to_your_data_file.csv")

  3. Interact with the AI Assistant:

    # Ask a question
response = assistant.ask_question("What insights can you provide about recent sales data?")
print(response)

# Follow-up question
follow_up_question = "Can you break down the sales by product category?"
follow_up_response = assistant.follow_up_question(follow_up_question)
print(follow_up_response)

# Advanced Data Analysis
analysis_result = assistant.ask_question("Generate a sales forecast for the next quarter.")
print(analysis_result)

Contributing

Contributions are welcome! Fork the repository and submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For any inquiries or support, please open an issue on the GitHub repository.

Project Link: https://github.com/mohamadawaisy/CodeInterpreter-Assistant

Article: A Step-by-Step Guide with OpenAI’s Assistant and Code Interpreter API | by Muhamad Awaisy | Jun, 2024 | Medium

Linkedin: Muhamad Awaisy - Navan | LinkedIn