Build a Code-Executing AI Chatbot with Mistral & Matplotlib

What We’re Building

In this tutorial, we will build an AI chatbot capable of generating and executing Python code to tweak Matplotlib plots. The chatbot will be built using the Mistral API, utilizing specialized models for code generation. By the end of this project, the chatbot will be able to understand natural language requests, generate the corresponding Python code, and execute it to produce the desired plot modifications in real-time.

This project is ideal for developers looking to get hands-on experience with AI-driven code execution and interactive Python web applications. The chatbot will utilize Codestral, a model specifically optimized for code generation, ensuring higher accuracy for data visualization tasks.

Setup and Installation

To get started, we need to install the latest versions of the necessary Python packages. We will use `panel` for the UI and the unified `mistralai` client for API communications.

pip install panel mistralai python-dotenv

Next, configure your environment variables in a `.env` file to securely manage your API credentials.

# .env file
MISTRAL_API_KEY="your_api_key_here"

Step 1:...

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