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import { ChatCompletionMessageParam } from 'openai/resources';
import { openai } from './setup';
import { ClientOptions, OpenAI } from 'openai';
export enum CustomizationType {
PRES_TRAIL_SLIDE = 'trails',
}
interface PromptInfo {
description: string;
features: { name: string; description: string; values?: string[] }[];
}
const prompts: { [key: string]: PromptInfo } = {
trails: {
description:
'We are customizing the properties and transition of a slide in a presentation. You are given the current properties of the slide in a json with the fields [title, presentation_transition, presentation_effect, config_zoom, presentation_effectDirection], as well as the prompt for how the user wants to change it. Return a json with the required fields: [title, presentation_transition, presentation_effect, config_zoom, presentation_effectDirection] by applying the changes in the prompt to the current state of the slide.',
features: [],
},
};
export const addCustomizationProperty = (type: CustomizationType, name: string, description: string, values?: string[]) => {
values ? prompts[type].features.push({ name, description, values }) : prompts[type].features.push({ name, description });
};
export const gptSlideProperties = ['title', 'presentation_transition', 'presentation_effect', 'presentation_effectDirection', 'presEffectTiming', 'config_zoom'];
const setupPresSlideCustomization = () => {
addCustomizationProperty(CustomizationType.PRES_TRAIL_SLIDE, 'title', 'is the title/name of the slide.');
addCustomizationProperty(CustomizationType.PRES_TRAIL_SLIDE, 'presentation_transition', 'is a number in milliseconds for how long it should take to transition/move to a slide.');
addCustomizationProperty(CustomizationType.PRES_TRAIL_SLIDE, 'presentation_effect', 'is an effect applied to the slide when we transition to it.', ['None', 'Zoom', 'Fade in', 'Bounce', 'Flip', 'Rotate', 'Roll']);
addCustomizationProperty(CustomizationType.PRES_TRAIL_SLIDE, 'presentation_effectDirection', 'is what direction the effect is applied.', ['Enter from left', 'Enter from right', 'Enter from bottom', 'Enter from Top', 'Enter from center']);
addCustomizationProperty(
CustomizationType.PRES_TRAIL_SLIDE,
'presEffectTiming',
"is a json object of the format: {type: string, stiffness: number, damping: number, mass: number}. Type is always “custom”. Controls the spring-based timing of the presentation effect animation. Stiffness, damping, and mass control the physics-based properties of spring animations. This is used to create a more natural looking timing, bouncy effects, etc. Use spring physics to adjust these parameters to match the user's description of how they want to animate the effect."
);
addCustomizationProperty(CustomizationType.PRES_TRAIL_SLIDE, 'config_zoom', 'is a number from 0 to 1.0 indicating the percentage we should zoom into the slide.');
};
setupPresSlideCustomization();
export const gptTrailSlideCustomization = async (inputText: string, properties: any) => {
console.log('properties', properties);
let prompt = prompts.trails.description;
prompts.trails.features.forEach(feature => {
prompt += feature.name + ' ' + feature.description;
if (feature.values) {
prompt += `Its only possible values are [${feature.values.join(', ')}].`;
}
});
// prompt +=
// 'title is the title/name of the slide. presentation_transition is a number in milliseconds for how long it should take to transition/move to a slide. presentation_effect is an effect applied to the slide when we transition to it. Its only possible values are: [None, Fade in, Flip, Rotate, Bounce, Roll]. presentation_effectDirection is what direction the effect is applied. Its only possible values are: [Enter from left, Enter from right, Enter from bottom, Enter from Top, Enter from center]. config_zoom is a number from 0 to 1.0 indicating the percentage we should zoom into the slide.';
prompt += 'Set unchanged values to null. Please only return the json with these keys and their values.';
console.log('messages', [
{ role: 'system', content: prompt },
{ role: 'user', content: `Prompt: ${inputText}, Current properties: ${JSON.stringify(properties)}` },
]);
try {
const response = await openai.chat.completions.create({
model: 'gpt-4',
messages: [
{ role: 'system', content: prompt },
{ role: 'user', content: `Prompt: ${inputText}, Current properties: ${JSON.stringify(properties)}` },
],
temperature: 0,
max_tokens: 1000,
});
return response.choices[0].message?.content;
} catch (err) {
console.log(err);
return 'Error connecting with API.';
}
};
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