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import { gradioDoc } from "./gradioDoc.mts" | |
export function getGradioApp(prompt: string) { | |
const prefix = "# In app.py:\n```" | |
const instructions = [ | |
{ | |
role: "system", | |
content: [ | |
`You are a Python developer, expert at crafting Gradio applications to deploy to Hugging Face.`, | |
`Here is an example of a minimal Gradio application:`, | |
gradioDoc | |
].filter(item => item).join("\n") | |
}, | |
{ | |
role: "user", | |
content: `Please write, file by file, the source code for a Gradio project. | |
You are allowed to use (if necessary) the following Python modules: | |
- numpy | |
- gradio (version 3.39.0) | |
- matplotlib | |
Don't forget to write a README.md with the following header: | |
\`\`\` | |
--- | |
license: apache-2.0 | |
title: <app name> | |
sdk: gradio | |
sdk_version: 3.39.0 | |
app_file: app.py | |
emoji: 👀 | |
colorFrom: green | |
colorTo: blue | |
--- | |
\`\`\` | |
The app is about: ${prompt}`, | |
} | |
] | |
return { prefix, files: [], instructions } | |
} |