![]() ![]() src/app.py: This file contains the code of the chatbot.requirements.txt: This file contains a list of Python packages required by the project.They're used by Poetry to create a virtual environment. poetry.lock and pyproject.toml: These files contain the project's specifications and dependencies.These are the most relevant files and directories in the project: Your project structure should look like this: chatbot-code-interpreter You should now have a virtual environment set up with the necessary libraries and a local copy of the repository. Open src/.env-example, add your OpenAI secret key in the corresponding variable, and save the file as.Using venv and pip: Create a virtual environment and install the dependencies listed in requirements.txt: python3.10 -m venv.Using Poetry: Create the virtual environment in the same directory as the project and install the dependencies: poetry config virtualenvs.in-project true.From the root folder of the project, install the dependencies:.Clone the project's repository: git clone.Set Up Your Local Environmentīefore you begin, you must first set up a few things. Next, you'll set up your local environment. The code snippet is executed on the browser using Pyodide, and the result is displayed to the user.The API responds with a code snippet that helps answer the question.That question, along with a predefined prompt, is sent to the OpenAI API.A user asks a question about a preloaded dataset.The chatbot you'll build will work as follows: But it is more than adequate to process small to medium datasets, which is what you'll do in this tutorial. ![]() There are some restrictions to what you can do with Pyodide, such as the fact that not every package is compatible with it and that the maximum memory it can manage is 2GB. Pyodide is a CPython port to WebAssembly/Emscripten that lets Python to run in the browser. We're fortunate, however, because what we're doing in this tutorial isn't as complex as Replit. Companies like Replit must manage extremely complex infrastructures in order to provide users with online IDEs. Security and scalability are two major challenges in developing a user-facing chatbot that's capable of executing code. In addition, you must create an account at OpenAI.
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