Gradio Integration

Gradio is a Python library for building ML demos and web interfaces. It provides pre-built components for creating chat interfaces, image classifiers, and other AI-powered UIs with minimal code.

Gradio apps can integrate LLM API through the OpenAI Python SDK for chat and text generation features.

Prerequisites

An LLM API account with an API key
Gradio installed or accessible

Setup

Get Your LLM API Key

Log in to your LLM API dashboard
Click Create Key to Start
Copy your new API key immediately — it will only be shown once
Store the key securely (e.g., in a password manager or .env file)

LLM API is an OpenAI-compatible gateway that gives you access to dozens of AI models through a single API key and endpoint.

Use LLM API in Gradio Apps

Install dependencies:

pip install gradio openai

Build a Gradio chat interface with LLM API:

import gradio as gr
from openai import OpenAI
client = OpenAI(
api_key="your-llm-api-key-here",
base_url="https://api.llmapi.ai/v1"
)
def chat(message, history):
response = client.chat.completions.create(
model="openai/gpt-4o",
messages=[{"role":"user","content":message}]
)
return response.choices[0].message.content
gr.ChatInterface(chat).launch()

Run: python app.py

Test the Integration

Verify that Gradio can successfully communicate with LLM API by sending a test request. All requests will now be routed through LLM API.

Gradio's ChatInterface component works out of the box with LLM API for rapid prototyping.

Benefits of Using LLM API with Gradio

Multi-Provider Access: Use models from OpenAI, Anthropic, Google, and more through a single API
Cost Control: Track and limit your AI spending with detailed usage analytics
Unified Billing: One account for all providers instead of managing multiple API keys
Caching: Reduce costs with response caching for repeated requests

View all available models on the models page.