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"""Storybook Generator Application.
This application generates a children's storybook using the OpenAI API.
The user can select a theme, specify the main character's name, and choose a
setting. The app generates a 10-page storybook with images.
The tech stack is: Python, Flask, HTMX, and bootstrap. All of the code is in
this single file.
"""
# : out storybook
# : dep flask
# : dep openai
import flask
import json
import openai
import os
import pydantic
import sys
import unittest
app = flask.Flask(__name__)
app.secret_key = os.urandom(24)
def main() -> None:
"""Run the Flask application."""
if sys.argv[1] == "test":
test()
else:
move()
def move() -> None:
"""Run the application."""
app.run()
def test() -> None:
"""Run the unittest suite manually."""
suite = unittest.TestSuite()
tests = [StorybookTestCase, StoryTestCase]
suite.addTests([
unittest.defaultTestLoader.loadTestsFromTestCase(tc) for tc in tests
])
unittest.TextTestRunner(verbosity=2).run(suite)
@app.route("/")
def index() -> str:
"""Render the main page."""
return flask.render_template_string(f"""
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Storybook Generator</title>
<link href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css"
rel="stylesheet">
<script src="https://unpkg.com/htmx.org@1.3.3"></script>
</head>
<body>
<div class="container mt-5">
<h1 class="text-center">Storybook Generator</h1>
<form hx-post="{flask.url_for("generate_story")}" hx-target="#story"
class="mt-4">
<div class="form-group">
<label for="theme">Select Theme:</label>
<select class="form-control" id="theme" name="theme">
<option value="Christian">Christian</option>
<option value="Secular">Secular</option>
</select>
</div>
<div class="form-group">
<label for="character">Main Character's Name:</label>
<input type="text" class="form-control" id="character"
name="character" required>
</div>
<div class="form-group">
<label for="setting">Select Setting:</label>
<select class="form-control" id="setting" name="setting">
<option value="rural">Rural</option>
<option value="urban">Urban</option>
<option value="beach">Beach</option>
<option value="forest">Forest</option>
</select>
</div>
<button type="submit" class="btn btn-primary">
Generate Story
</button>
</form>
<div id="story" class="mt-5"></div>
</div>
</body>
</html>
""")
class Page(pydantic.BaseModel):
"""Represents a single page in the storybook."""
model_config = pydantic.ConfigDict(arbitrary_types_allowed=True)
text: str
image_prompt: str
image_url: str | None
def load_image(page: Page) -> Page:
"""Load an image for a given page using the OpenAI API."""
if page.image_url is not None:
return page
prompt = page.image_prompt
client = openai.OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
image_response = client.images.generate(
prompt=prompt,
n=1,
size="256x256",
)
page.image_url = image_response.data[0].url
# Handle if image is None
return page
class Story(pydantic.BaseModel):
"""Represents a story with multiple pages."""
model_config = pydantic.ConfigDict(arbitrary_types_allowed=True)
theme: str
character: str
setting: str
moral: str
pages: list[Page] | None = None
def system_prompt() -> str:
"""Generate the system prompt for the OpenAI API."""
return (
"You are an author and illustrator of childrens books. "
"Each book is 10 pages long. "
"All output must be in valid JSON. "
"Don't add explanation or markdown formatting beyond the JSON. "
"In your output, include the text on the page and a description of the "
"image to be generated with an AI image generator."
)
def user_prompt(story: Story) -> str:
"""Generate the user prompt based on the story details."""
return " ".join([
"Write a story with the following details.",
"Output must be in valid JSON where each page is an array of text and"
"image like the following example:",
"""[{"text": "<text of the story>",""",
""""image": "<description of illustration>"}...],""",
f"Character: {story.character}\n",
f"Setting: {story.setting}\n",
f"Theme: {story.theme}\n",
f"Moral: {story.moral}\n",
])
def _openai_generate_text(story: Story) -> openai.types.chat.ChatCompletion:
"""Generate story text using the OpenAI API."""
messages: list[
openai.types.chat.ChatCompletionUserMessageParam
| openai.types.chat.ChatCompletionSystemMessageParam
] = [
{"role": "system", "content": system_prompt()},
{"role": "user", "content": user_prompt(story)},
]
client = openai.OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
return client.chat.completions.create(
model="gpt-4o-mini",
messages=messages,
max_tokens=1500,
)
def generate_text(story: Story) -> Story:
"""Generate the text for a story and update its pages.
Raises:
ValueError: If the content is None or JSON parsing fails.
"""
response = _openai_generate_text(story)
content = response.choices[0].message.content
if content is None:
error_message = "No content in response"
raise ValueError(error_message)
try:
response_messages = json.loads(content)
except (json.JSONDecodeError, ValueError) as e:
error_message = f"Failed to parse story JSON: {e}"
raise ValueError(error_message) from e
story.pages = [
Page(text=msg["text"], image_prompt=msg["image"], image_url=None)
for msg in response_messages
]
return story
@app.route("/generate/story", methods=["POST"])
def generate_story() -> str:
"""Generate a story based on user input."""
story = Story(
theme=flask.request.form["theme"],
character=flask.request.form["character"],
setting=flask.request.form["setting"],
moral="Honor thy mother and father", # request.form["moral"],
)
story = generate_text(story)
if story.pages is None:
return "<p>error: no story pages found</p>"
flask.session["story"] = story.model_dump_json()
return "".join(
f"<div class='card mb-3'>"
f"<img src='/static/placeholder.png' data-src='"
f"{flask.url_for('generate_image', n=i)}'"
f"class='card-img-top' hx-trigger='load' hx-swap='outerHTML' "
f"""hx-get='{flask.url_for("generate_image", n=i)}' alt='Loading...'>"""
f"<div class='card-body'>"
f"<p class='card-text'>{page.text}</p></div></div>"
for i, page in enumerate(story.pages)
)
@app.route("/generate/image/<int:n>", methods=["GET"])
def generate_image(n: int) -> str:
"""Generate an image for a specific page in the story."""
story_data = flask.session.get("story")
if story_data is None:
return "<p>error: no story data found</p>"
try:
story = Story.model_validate_json(story_data)
except pydantic.ValidationError as e:
return f"<p>error: story validation failed: {e}</p>"
if story.pages is not None and 0 <= n < len(story.pages):
page = load_image(story.pages[n])
return f"<img src='{page.image_url}' class='card-img-top'>"
return "<p>Image not found</p>"
class StoryTestCase(unittest.TestCase):
"""Unit test case for the Story class and related functions."""
def test_story_creation(self) -> None:
"""Test the creation of a story and its text generation."""
s = Story(
theme="Christian",
character="Lia and her pet bunny",
setting="A suburban park",
moral="Honor thy mother and father",
)
s = generate_text(s)
self.assertIsNotNone(s.pages)
self.assertEqual(len(s.pages), 10) # type: ignore[arg-type]
class StorybookTestCase(unittest.TestCase):
"""Unit test case for the Storybook application."""
def setUp(self) -> None:
"""Set up the test client."""
self.app = app.test_client()
def test_index_page(self) -> None:
"""Test that the index page loads successfully."""
response = self.app.get("/")
self.assertEqual(response.status_code, 200)
self.assertIn(b"Storybook Generator", response.data)
def test_generate_story(self) -> None:
"""Test the story generation endpoint."""
response = self.app.post(
"/generate/story",
data={
"theme": "Christian",
"character": "Alice",
"setting": "forest",
},
)
self.assertEqual(response.status_code, 200)
self.assertIn(b"<div class='card mb-3'>", response.data)
if __name__ == "__main__":
main()
|
