- Last updated October 15, 2024
- In AI News
The new Python package, openai-gradio, provides seamless integration between Gradio’s easy-to-use UI and OpenAI’s robust machine learning models, making it easier for developers to create powerful AI tools.

Gradio, an open-source Python library that allows developers to quickly create user-friendly web interfaces for machine learning models, APIs, and Python functions, has launched a solution for building machine learning applications powered by OpenAI’s API.
The new Python package, openai-gradio, provides seamless integration between Gradio’s easy-to-use UI and OpenAI’s robust machine learning models, making it easier for developers to create powerful AI tools.
Developers can install the package using a simple pip command, pip install openai-gradio, which enables the integration of OpenAI models like GPT-4-turbo into Gradio interfaces with minimal effort. After saving the OpenAI API key, developers can write Python code that connects Gradio UIs to OpenAI models, instantly generating interactive apps.
One of the most notable features of this integration is its customisation potential. Developers can set their own input and output components, adjust titles, descriptions, and even pre-load example queries. For instance, a developer could set up an interface asking GPT-4-turbo to “Explain quantum gravity to a 5-year-old” or inquire about the number of “R”s in the word “strawberry,” showcasing the tool’s versatility in real-world applications.
Furthermore, the openai-gradio package allows users to build more complex applications. With Gradio’s “Blocks” feature, developers can combine multiple models within a single web-based interface, providing options like switching between GPT-4-turbo and GPT-3.5-turbo in different tabs, giving flexibility and enhanced functionality to end users.
The openai-gradio integration supports all chat models provided by OpenAI, making it a comprehensive tool for those seeking to build AI-powered applications. A known issue includes occasional authentication errors, which can be resolved by manually setting the API key in the Python session.
With this new package, Gradio continues their mission of democratising AI technology, ensuring that creating machine learning applications is simpler and more accessible than ever. Developers are encouraged to explore the openai-gradio library to leverage the full capabilities of OpenAI’s models through Gradio’s intuitive interface.
Siddharth Jindal
Siddharth is a media graduate who loves to explore tech through journalism and putting forward ideas worth pondering about in the era of artificial intelligence.
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