<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Gradio-Lite: Serverless Gradio Running Entirely in Your Browser</title>
<meta name="description" content="Gradio-Lite: Serverless Gradio Running Entirely in Your Browser">
<script type="module" crossorigin src="https://cdn.jsdelivr.net/npm/@gradio/lite/dist/lite.js"></script>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@gradio/lite/dist/lite.css" />
<style>
html, body {
margin: 0;
padding: 0;
height: 100%;
}
</style>
</head>
<body>
<gradio-lite>
<gradio-file name="app.py" entrypoint>
import gradio as gr
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="codeparrot/codeparrot")
demo = gr.ChatInterface(pipe,
examples=["lion.jpg", "logo.png"],
)
demo.launch()
</gradio-file>
<gradio-file name="filters.py">
from skimage.color import rgb2gray
def as_gray(image):
return rgb2gray(image)
</gradio-file>
<gradio-file name="lion.jpg" url="https://raw.githubusercontent.com/gradio-app/gradio/main/gradio/test_data/lion.jpg" />
<gradio-file name="logo.png" url="https://raw.githubusercontent.com/gradio-app/gradio/main/guides/assets/logo.png" />
<gradio-requirements>
# Same syntax as requirements.txt
scikit-image
</gradio-requirements>
</gradio-lite>
</body>
</html>