From the course: Build with AI: LLM-Powered Data Analysis App with Python and Streamlit
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Execute AI-generated Python code
From the course: Build with AI: LLM-Powered Data Analysis App with Python and Streamlit
Execute AI-generated Python code
- [Instructor] Our system instruction currently asks GPT to give us Python code to analyze our data, but we have to copy and paste and run it manually. That's not the magical experience we want for our users. In this video, we'll parse GPT's code responses and execute them automatically. We'll also touch on the security implications, as this feature is powerful but needs to be handled carefully. First, let's understand what we're dealing with. When GPT returns code, it wraps it in markdown code blocks. We need to extract the code between these markers, execute the code and display the visualization results. To change this in app.py, in our Main chat interface, right here, and after chat input. The next code block we're going to write is about GPT trying to execute any code in the response. After we get a response from GPT and display it with markdown, we'll check if there's any code to execute. If our Python code is in the markdown file returned, then we'll do the following. Since the…
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