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I built an AI Data Scientist – Open AI Assistants API with Python and Streamlit Tutorial

Open AI Ushers in New Era: Assistant API, Poetry, Streamlit & Config Function

  • Open AI has announced the Assistant API
  • This does not mean data science is ending, rather, it is ushering in a new era where AI can be used to enhance data science
  • The API includes capabilities such as persistent threads and improved function calls
  • POetry is used to manage packages and dependencies, and Streamlit is used to craft UI
  • A config function was written to set up configurations for the user, allowing them to select an assistant or create a new one.

New Virtual Assistant Application Enhances User Experience

  • The code creates an application which allows the user to create, update and interact with a virtual assistant
  • A function was created to delete files and add additional options for uploading files
  • An error was identified and fixed along with adding logic into the existing assistance, creating a file uploader, calling an API to update the assistant, and appending the file ID to the session state
  • A while loop was created which will stop when the status of run in session state is completed, allowing messages from the threads to be printed out in the app.

GPT-Powered Application: An Analysis of its Capabilities

  • The application powered by GPT can render messages in a chatbot format, present charts, and create beautiful visualizations
  • It can access and analyze data files with ease
  • The app is capable of complex analysis and making predictions
  • A model was run which showed potential, despite being slow to respond
  • KM’s clustering was used to group the data into five clusters
  • There is much more this app can do.

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