generate

generate

The generate function creates various types of content using AI.

Import

from pyai import generate

Basic Usage

# Generate content
content = generate("blog post about Python")

# With type specification
email = generate("thank you email", type="email")

# Async version
content = await generate.async_("product description")

Parameters

Parameter	Type	Default	Description
prompt	str	required	Description of content to generate
type	str	None	Content type: "email", "blog", "code", "story"
tone	str	"professional"	Tone: "formal", "casual", "professional"
length	str	"medium"	Length: "short", "medium", "long"
format	str	None	Output format: "markdown", "html", "plain"

Content Types

Type	Description
email	Professional emails
blog	Blog posts and articles
code	Code snippets
story	Creative stories
report	Business reports
documentation	Technical docs

Examples

Generate Email

from pyai import generate

email = generate(
    "thank customer for purchase",
    type="email",
    tone="friendly"
)
print(email)

Generate Blog Post

blog = generate(
    "introduction to machine learning",
    type="blog",
    length="long",
    format="markdown"
)

Generate Documentation

docs = generate(
    "API documentation for user authentication",
    type="documentation"
)

Generate Code

code = generate(
    "Python function to validate email addresses",
    type="code"
)

Async Usage

import asyncio
from pyai import generate

async def main():
    content = await generate.async_(
        "product launch announcement",
        type="email"
    )
    print(content)

asyncio.run(main())

Templates

# Use predefined templates
content = generate.from_template(
    "newsletter",
    topic="Monthly Update",
    highlights=["Feature A", "Feature B"]
)

See Also

• ask - Question answering
• code - Code operations
• translate - Translation