Gradio is an open-source python library for building interactive web applications to showcase machine learning models, APIs, and python functions. The sambanova-gradio package extends Gradio’s capabilities by simplifying SambaNova model integration. It provides a user-friendly interface for developers to connect SambaNova models to their applications.
The sambanova-gradio package has two dependencies: OpenAI and Gradio. It streamlines the setup process with a built-in registry function, sambanova_gradio.registry, which facilitates seamless connections to various models. The registry function accepts a model ID as the name parameter. Executing the script automatically generates an application interface using the specified model.;
For implementation details and additional configurations, see the GitHub repository.
Installation
Follow these steps to integrate SambaNova models with Gradio.
Install the sambanova-gradio package by running the command below to install the required package.
pip install sambanova-gradio
Set Your SambaNova API Key by saving your API key as an environment variable, as shown below.
export SAMBANOVA_API_KEY=<your token>
Create a Gradio interface
Use the sambanova_gradio.registry function to build and launch your Gradio application, as shown below.
Running this Python script will launch a Gradio interface connected to the Meta-Llama-3.3-70B-Instruct model.
import gradio as gr
import sambanova_gradio
gr.load(
name='Meta-Llama-3.3-70B-Instruct',
src=sambanova_gradio.registry,
).launch()
Customize your interface
You can personalize the interface by modifying the model, input/output components, and additional settings to gr.Interface, as shown below.
import gradio as gr
import sambanova_gradio
gr.load(
name='Meta-Llama-3.3-70B-Instruct',
src=sambanova_gradio.registry,
title='Sambanova-Gradio Integration',
description="Chat with Meta-Llama-3.1-405B-Instruct model.",
examples=["Explain quantum gravity to a 5-year old.", "How many R are there in the word Strawberry?"]
).launch()
Example screenshot
The following interface was generated using the above code snippet.
See more examples of Gradio applications in our SambaNova HuggingFace space.