zero2story / interfaces /plot_gen_ui.py
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import re
import gradio as gr
from interfaces import utils
from modules import palmchat
def _add_side_character(
enable, prompt, cur_side_chars,
name, age, mbti, personality, job
):
if enable:
prompt = prompt + f"""
side character #{cur_side_chars}
- name: {name},
- job: {job},
- age: {age},
- mbti: {mbti},
- personality: {personality}
"""
cur_side_chars = cur_side_chars + 1
return prompt, cur_side_chars
async def plot_gen(
temperature,
genre, place, mood,
side_char_enable1, side_char_enable2, side_char_enable3,
name1, age1, mbti1, personality1, job1,
name2, age2, mbti2, personality2, job2,
name3, age3, mbti3, personality3, job3,
name4, age4, mbti4, personality4, job4,
):
cur_side_chars = 1
prompt = f"""Write a title and an outline of a novel based on the background information below in Ronald Tobias's plot theory. The outline should follow the "rising action", "crisis", "climax", "falling action", and "denouement" plot types. Each should be filled with a VERY detailed and descriptive at least two paragraphs of string. Randomly choose if the story goes optimistic or tragic.
background information:
- genre: string
- where: string
- mood: string
main character
- name: string
- job: string
- age: string
- mbti: string
- personality: string
JSON output:
{{
"title": "string",
"outline": {{
"rising action": "paragraphs of string",
"crisis": "paragraphs of string",
"climax": "paragraphs of string",
"falling action": "paragraphs of string",
"denouement": "paragraphs of string"
}}
}}
background information:
- genre: {genre}
- where: {place}
- mood: {mood}
main character
- name: {name1}
- job: {job1}
- age: {age1}
- mbti: {mbti1}
- personality: {personality1}
"""
prompt, cur_side_chars = _add_side_character(
side_char_enable1, prompt, cur_side_chars,
name2, job2, age2, mbti2, personality2
)
prompt, cur_side_chars = _add_side_character(
side_char_enable2, prompt, cur_side_chars,
name3, job3, age3, mbti3, personality3
)
prompt, cur_side_chars = _add_side_character(
side_char_enable3, prompt, cur_side_chars,
name4, job4, age4, mbti4, personality4
)
prompt = prompt + "JSON output:\n"
print(f"generated prompt:\n{prompt}")
parameters = {
'model': 'models/text-bison-001',
'candidate_count': 1,
'temperature': temperature,
'top_k': 40,
'top_p': 1,
'max_output_tokens': 4096,
}
response_json = await utils.retry_until_valid_json(prompt, parameters=parameters)
return (
response_json['title'],
f"## {response_json['title']}",
response_json['outline']['rising action'],
response_json['outline']['crisis'],
response_json['outline']['climax'],
response_json['outline']['falling action'],
response_json['outline']['denouement'],
)
async def first_story_gen(
title,
rising_action, crisis, climax, falling_action, denouement,
genre, place, mood,
side_char_enable1, side_char_enable2, side_char_enable3,
name1, age1, mbti1, personality1, job1,
name2, age2, mbti2, personality2, job2,
name3, age3, mbti3, personality3, job3,
name4, age4, mbti4, personality4, job4,
cursors, cur_cursor
):
cur_side_chars = 1
prompt = f"""Write the chapter title and the first few paragraphs of the "rising action" plot based on the background information below in Ronald Tobias's plot theory. Also, suggest three choosable actions to drive current story in different directions. The first few paragraphs should be filled with a VERY MUCH detailed and descriptive at least two paragraphs of string.
REMEMBER the first few paragraphs should not end the whole story and allow leaway for the next paragraphs to come.
The whole story SHOULD stick to the "rising action -> crisis -> climax -> falling action -> denouement" flow, so REMEMBER not to write anything mentioned from the next plots of crisis, climax, falling action, and denouement yet.
background information:
- genre: string
- where: string
- mood: string
main character
- name: string
- job: string
- age: string
- mbti: string
- personality: string
overall outline
- title: string
- rising action: string
- crisis: string
- climax: string
- falling action: string
- denouement: string
JSON output:
{{
"chapter_title": "string",
"paragraphs": ["string", "string", ...],
"actions": ["string", "string", "string"]
}}
background information:
- genre: {genre}
- where: {place}
- mood: {mood}
main character
- name: {name1}
- job: {job1},
- age: {age1},
- mbti: {mbti1},
- personality: {personality1}
"""
prompt, cur_side_chars = _add_side_character(
side_char_enable1, prompt, cur_side_chars,
name2, job2, age2, mbti2, personality2
)
prompt, cur_side_chars = _add_side_character(
side_char_enable2, prompt, cur_side_chars,
name3, job3, age3, mbti3, personality3
)
prompt, cur_side_chars = _add_side_character(
side_char_enable3, prompt, cur_side_chars,
name4, job4, age4, mbti4, personality4
)
prompt = prompt + f"""
overall outline
- title: {title}
- rising action: {rising_action}
- crisis: {crisis}
- climax: {climax}
- falling action: {falling_action}
- denouement: {denouement}
JSON output:
"""
print(f"generated prompt:\n{prompt}")
parameters = {
'model': 'models/text-bison-001',
'candidate_count': 1,
'temperature': 1,
'top_k': 40,
'top_p': 1,
'max_output_tokens': 4096,
}
response_json = await utils.retry_until_valid_json(prompt, parameters=parameters)
chapter_title = response_json["chapter_title"]
pattern = r"Chapter\s+\d+\s*[:.]"
chapter_title = re.sub(pattern, "", chapter_title)
cursors.append({
"title": chapter_title,
"plot_type": "rising action",
"story": "\n\n".join(response_json["paragraphs"])
})
return (
f"### {chapter_title} (\"rising action\")",
"\n\n".join(response_json["paragraphs"]),
cursors,
cur_cursor,
gr.update(interactive=True),
gr.update(interactive=True),
gr.update(value=response_json["actions"][0], interactive=True),
gr.update(value=response_json["actions"][1], interactive=True),
gr.update(value=response_json["actions"][2], interactive=True),
)