0xkojiWhat is Gradio?
Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere!
import gradio as gr
def greet(name):
return "Hello " + name + "!"
demo = gr.Interface(fn=greet, inputs="text", outputs="text")
demo.launch()
import gradio as gr
def load_css():
with open('style.css', 'r') as file:
css_content = file.read()
return css_content
def greet(name):
return "Hello " + name + "!"
demo = gr.Interface(fn=greet, inputs="text", outputs="text", css=load_css())
demo.launch()
Add load_css function to load style.css file. Then add a css file to the same folder.
button {
background: red;
color: #ffffff;
}
The tricky part is that we sometimes need to use !important to override properties. That is needed because Gradio itself uses a js framework, Svelte so Gradio UI components have their style.
