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OpenAI Responses API EASY Beginners Tutorial in 14 Mins!

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OpenAI Responses API EASY Beginners Tutorial in 14 Mins!

AI Summary

Summary of OpenAI’s New Responses API

  1. Introduction to Responses API
    • OpenAI released the Responses API, replacing the Chat Completions API.
    • It supports file search and computer control, features missing in the previous API.
    • Future support for code interpreters is expected.
  2. Creating a Basic Chatbot
    • Users can create a simple chatbot using Python.
    • Required packages: openai, geopy, gradio.
    • Python must be installed; generate an API key from platform.openai.com.
    • Example code snippets provided to build a chatbot and interact with the API using input instead of messages.
  3. Enhancing User Interaction
    • Integrating Gradio to create a user interface for the chatbot.
    • Example commands to perform tasks and generate chatbot responses.
  4. Image Analysis Chatbot
    • Guidance on coding a chatbot that analyzes images, identifying elements like sports teams from pictures.
  5. Inbuilt Tools Usage
    • How to integrate built-in tools for functionality, such as web search and file search.
    • Instructions for querying uploaded PDF files.
  6. Creating Custom Tools
    • Step-by-step instructions to create custom tools for specific tasks, like retrieving weather information.
    • Multiple API calls demonstrated for fetching and processing data.
  7. Streaming Responses
    • Utilizing streaming for real-time response generation in applications enhances user engagement.
    • Example of implementing streaming responses with user inputs.
  8. Conclusion & Other Resources
    • Link to Nvidia GTC conference for more learning opportunities.
    • Encouragement to watch additional videos for advanced programming and AI agent development.

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