Integrate a sophisticated AI model for enhanced natural language processing and generation:
const { pipeline } = require('@huggingface/inference');
const tf = require('@tensorflow/tfjs-node');
class AILanguageProcessor {
constructor() {
this.generator = pipeline('text-generation');
this.classifier = pipeline('text-classification');
this.summarizer = pipeline('summarization');
}
async generateText(prompt, maxLength = 100) {
const result = await this.generator(prompt, { max_length: maxLength });
return result[0].generated_text;
}
async classifyText(text) {
const result = await this.classifier(text);
return result[0].label;
}
async summarizeText(text, maxLength = 100) {
const result = await this.summarizer(text, { max_length: maxLength });
return result[0].summary_text;
}
}
class AIStoryEnhancer {
constructor(aiLanguageProcessor) {
this.aiLanguageProcessor = aiLanguageProcessor;
this.model = null;
}
async loadModel() {
this.model = await tf.loadLayersModel('file://path/to/your/model/model.json');
}
async enhanceStoryElement(element, context) {
const enhancedElement = await this.aiLanguageProcessor.generateText(
`Enhance the following story element in the context of ${context}: ${element}`
);
return this.postProcessEnhancement(enhancedElement);
}
postProcessEnhancement(enhancedElement) {
// Apply any necessary post-processing to the AI-generated enhancement
return enhancedElement.trim();
}
async generateDialogue(character1, character2, context) {
const dialogue = await this.aiLanguageProcessor.generateText(
`Generate a dialogue between ${character1.name} and ${character2.name} in the context of ${context}`
);
return this.structureDialogue(dialogue, character1, character2);
}
structureDialogue(rawDialogue, character1, character2) {
// Parse and structure the raw dialogue into a more usable format
const lines = rawDialogue.split('\n');
return lines.map(line => {
const [speaker, text] = line.split(':');
return {
speaker: speaker.trim() === character1.name ? character1 : character2,
text: text.trim()
};
});
}
}
// Integrate AI enhancements into StoryGenerator
class StoryGenerator {
constructor(plotManager, characterManager, worldBuilder, narrativeStructureManager, themeManager, aiStoryEnhancer) {
// ... existing constructor ...
this.aiStoryEnhancer = aiStoryEnhancer;
}
async generateStory(storyParameters) {
// ... existing story generation logic ...
for (const event of generatedStory.events) {
event.description = await this.aiStoryEnhancer.enhanceStoryElement(event.description, event.context);
if (event.type === 'dialogue') {
event.dialogue = await this.aiStoryEnhancer.generateDialogue(event.participants[0], event.participants[1], event.context);
}
}
return generatedStory;
}
}
Implement a visualization tool for story structure, character relationships, and theme strength:
const d3 = require('d3');
const jsdom = require('jsdom');
const { JSDOM } = jsdom;
class StoryVisualizer {
constructor(storyData) {
this.storyData = storyData;
this.dom = new JSDOM('<!DOCTYPE html><body></body>');
this.document = this.dom.window.document;
}
createStoryStructureVisualization() {
const svg = d3.select(this.document.body)
.append('svg')
.attr('width', 800)
.attr('height', 600);
const plotPoints = this.storyData.events.map((event, index) => ({
x: index * 50,
y: event.tension * 5,
description: event.description
}));
svg.selectAll('circle')
.data(plotPoints)
.enter()
.append('circle')
.attr('cx', d => d.x)
.attr('cy', d => 600 - d.y)
.attr('r', 5)
.attr('fill', 'blue');
svg.append('path')
.datum(plotPoints)
.attr('fill', 'none')
.attr('stroke', 'blue')
.attr('stroke-width', 2)
.attr('d', d3.line()
.x(d => d.x)
.y(d => 600 - d.y)
);
return this.dom.serialize();
}
createCharacterRelationshipVisualization() {
const svg = d3.select(this.document.body)
.append('svg')
.attr('width', 800)
.attr('height', 600);
const simulation = d3.forceSimulation(this.storyData.characters)
.force('link', d3.forceLink(this.storyData.relationships).id(d => d.name))
.force('charge', d3.forceManyBody())
.force('center', d3.forceCenter(400, 300));
const link = svg.append('g')
.selectAll('line')
.data(this.storyData.relationships)
.enter().append('line')
.attr('stroke-width', d => Math.sqrt(d.strength));
const node = svg.append('g')
.selectAll('circle')
.data(this.storyData.characters)
.enter().append('circle')
.attr('r', 5)
.attr('fill', 'red');
simulation.on('tick', () => {
link
.attr('x1', d => d.source.x)
.attr('y1', d => d.source.y)
.attr('x2', d => d.target.x)
.attr('y2', d => d.target.y);
node
.attr('cx', d => d.x)
.attr('cy', d => d.y);
});
return this.dom.serialize();
}
createThemeStrengthVisualization() {
const svg = d3.select(this.document.body)
.append('svg')
.attr('width', 800)
.attr('height', 600);
const themeData = Array.from(this.storyData.themes.entries());
const x = d3.scaleBand()
.range([0, 800])
.domain(themeData.map(d => d[0]))
.padding(0.1);
const y = d3.scaleLinear()
.range([600, 0])
.domain([0, d3.max(themeData, d => d[1].strength)]);
svg.selectAll('rect')
.data(themeData)
.enter()
.append('rect')
.attr('x', d => x(d[0]))
.attr('y', d => y(d[1].strength))
.attr('width', x.bandwidth())
.attr('height', d => 600 - y(d[1].strength))
.attr('fill', 'green');
return this.dom.serialize();
}
}
Create a React-based user interface for interacting with the advanced features:
// App.js
import React, { useState, useEffect } from 'react';
import axios from 'axios';
import StoryStructureVisualization from './components/StoryStructureVisualization';
import CharacterRelationshipVisualization from './components/CharacterRelationshipVisualization';
import ThemeStrengthVisualization from './components/ThemeStrengthVisualization';
import StoryGenerator from './components/StoryGenerator';
import CharacterManager from './components/CharacterManager';
import ConflictManager from './components/ConflictManager';
function App() {
const [storyData, setStoryData] = useState(null);
useEffect(() => {
fetchStoryData();
}, []);
const fetchStoryData = async () => {
const response = await axios.get('/api/story-data');
setStoryData(response.data);
};
return (
<div className="App">
<h1>StoryForge Advanced Features</h1>
{storyData && (
<>
<StoryStructureVisualization data={storyData.events} />
<CharacterRelationshipVisualization data={storyData.characters} relationships={storyData.relationships} />
<ThemeStrengthVisualization data={storyData.themes} />
<StoryGenerator onGenerate={fetchStoryData} />
<CharacterManager characters={storyData.characters} onUpdate={fetchStoryData} />
<ConflictManager conflicts={storyData.conflicts} onResolve={fetchStoryData} />
</>
)}
</div>
);
}
// StoryGenerator.js
import React, { useState } from 'react';
import axios from 'axios';
function StoryGenerator({ onGenerate }) {
const [storyParameters, setStoryParameters] = useState({
genre: '',
setting: '',
mainCharacter: '',
plotType: ''
});
const handleInputChange = (e) => {
setStoryParameters({ ...storyParameters, [e.target.name]: e.target.value });
};
const handleSubmit = async (e) => {
e.preventDefault();
await axios.post('/api/generate-story', storyParameters);
onGenerate();
};
return (
<form onSubmit={handleSubmit}>
<input name="genre" value={storyParameters.genre} onChange={handleInputChange} placeholder="Genre" />
<input name="setting" value={storyParameters.setting} onChange={handleInputChange} placeholder="Setting" />
<input name="mainCharacter" value={storyParameters.mainCharacter} onChange={handleInputChange} placeholder="Main Character" />
<input name="plotType" value={storyParameters.plotType} onChange={handleInputChange} placeholder="Plot Type" />
<button type="submit">Generate Story</button>
</form>
);
}
// CharacterManager.js
import React from 'react';
import axios from 'axios';
function CharacterManager({ characters, onUpdate }) {
const addExperience = async (characterName, experience) => {
await axios.post(`/api/characters/${characterName}/experience`, { event: experience });
onUpdate();
};
return (
<div>
<h2>Character Manager</h2>
{characters.map(character => (
<div key={character.name}>
<h3>{character.name}</h3>
<button onClick={() => addExperience(character.name, { type: 'challenge', description: 'Overcame a difficult obstacle' })}>
Add Challenge Experience
</button>
</div>
))}
</div>
);
}
// ConflictManager.js
import React from 'react';
import axios from 'axios';
function ConflictManager({ conflicts, onResolve }) {
const resolveConflict = async (conflictId, resolutionStrategy) => {
await axios.post(`/api/conflicts/${conflictId}/resolve`, { resolutionStrategy });
onResolve();
};
return (
<div>
<h2>Conflict Manager</h2>
{conflicts.map(conflict => (
<div key={conflict.id}>
<h3>{conflict.type} Conflict</h3>
<p>Participants: {conflict.participants.join(', ')}</p>
<button onClick={() => resolveConflict(conflict.id, 'compromise')}>Resolve with Compromise</button>
<button onClick={() => resolveConflict(conflict.id, 'confrontation')}>Resolve with Confrontation</button>
</div>
))}
</div>
);
}
Implement a system for generating and managing dialogue between characters:
class DialogueGenerator {
constructor(aiLanguageProcessor, characterManager) {
this.aiLanguageProcessor = aiLanguageProcessor;
this.characterManager = characterManager;
}
async generateDialogue(character1, character2, context, length = 5) {
const prompt = this.createDialoguePrompt(character1, character2, context);
const rawDialogue = await this.aiLanguageProcessor.generateText(prompt, length * 50);
return this.structureDialogue(rawDialogue, character1, character2);
}
createDialoguePrompt(character1, character2, context) {
return `Generate a dialogue between ${character1.name} and ${character2.name} in the context of ${context}.
${character1.name}'s personality: ${character1.traits.join(', ')}.
${character2.name}'s personality: ${character2.traits.join(', ')}.`;
}
structureDialogue(rawDialogue, character1, character2) {
const lines = rawDialogue.split('\n');
return lines.map(line => {
const [speaker, text] = line.split(':');
return {
speaker: speaker.trim() === character1.name ? character1 : character2,
text: text.trim()
};
});
}
async generateResponse(speaker, listener, previousLine, context) {
const prompt = `${speaker.name} responds to "${previousLine}" said by ${listener.name} in the context of ${context}. ${speaker.name}'s personality: ${speaker.traits.join(', ')}.`;
const response = await this.aiLanguageProcessor.generateText(prompt, 50);
return { speaker, text: response.trim() };
}
}
// Integrate DialogueGenerator into StoryGenerator
class StoryGenerator {
constructor(plotManager, characterManager, worldBuilder, narrativeStructureManager, themeManager, aiStoryEnhancer, dialogueGenerator) {
// ... existing constructor ...
this.dialogueGenerator = dialogueGenerator;
}
async generateStory(storyParameters) {
// ... existing story generation logic ...
for (const event of generatedStory.events) {
if (event.type === 'dialogue') {
event.dialogue = await this.dialogueGenerator.generateDialogue(
event.participants[0],
event.participants[1],
event.context,
5 // generate 5 lines of dialogue
);
}
}
return generatedStory;
}
}
// Add a new API endpoint for generating dialogue
app.post('/api/generate-dialogue', authenticateToken, async (req, res) => {
try {
const { character1Id, character2Id, context, length } = req.body;
const character1 = characterManager.getCharacter(character1Id);
const character2 = characterManager.getCharacter(character2Id);
if (!character1 || !character2) {
return res.status(404).json({ error: 'One or both characters not found' });
}
const dialogue = await dialogueGenerator.generateDialogue(character1, character2, context, length);
res.json({ dialogue });
} catch (error) {
res.status(500).json({ error: error.message });
}
});
Note: These implementations significantly enhance StoryForge's capabilities:
Would you like to focus on any of these next steps, or should we explore another aspect of the StoryForge project?