Script Generator

AI → Gold
đź’° $2000

Generates lesson scripts from brief prompts.

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Overview: Script Generator Module

The Script Generator is a powerful AI-driven module designed to automate the creation of lesson scripts from brief prompts. This tool leverages advanced natural language processing (NLP) algorithms to generate structured, engaging, and educational content tailored to your needs.

Purpose

The primary purpose of the Script Generator is to simplify the process of creating lesson plans or teaching materials by converting concise input prompts into detailed, well-organized scripts. Whether you’re developing training programs, online courses, or workshop materials, this module saves time while ensuring high-quality output.

Benefits

Usage Scenarios

The Script Generator is versatile and can be applied in numerous contexts:

  1. Content Creation: Develop lesson plans, tutorials, or training materials for diverse subjects.
  2. Instructional Design: Automate the generation of teaching scripts for online courses or workshops.
  3. Personalized Learning: Create customized learning paths for individual students or groups.
  4. Rapid Prototyping: Quickly generate draft content to test ideas or concepts before finalizing.

Features

By streamlining the creation of educational content, the Script Generator empowers developers to focus on innovation and delivery while ensuring consistent quality in their teaching materials.

Key Features of the Script Generator Module

1. AI-Powered Script Generation

The module leverages advanced AI models to create detailed lesson scripts from user-provided prompts. This feature automates the content creation process, saving developers significant time and effort.

2. Natural Language Understanding (NLU)

Incorporates NLU technology to interpret user prompts accurately. It ensures that even vague or ambiguous requests are translated into coherent lesson plans, enhancing usability for non-technical users.

3. Customizable Output Format

Users can choose between formats like Markdown and JSON, making it easy to integrate generated scripts into various applications and systems.

4. Multi-Language Support

Supports multiple languages, allowing developers to create content for diverse audiences without additional configuration.

5. Integration with APIs

Facilitates integration with third-party services via APIs, enabling features like embedding videos or interactive elements directly into lesson plans.

6. Version Control Tracking

Tracks changes in script versions, aiding collaboration and understanding of content evolution over time.

7. Interactive Editing

Provides an interface for direct editing of generated scripts, offering flexibility and allowing users to refine content without starting from scratch.

Summary

Each feature is designed to address specific needs in educational software development, providing efficiency, customization, and scalability. These features collectively make the Script Generator a versatile tool for developers aiming to quickly create and adapt lesson plans across various platforms and languages.

Script Generator Documentation

Overview

The Script Generator is an AI-powered tool designed to automate the creation of lesson scripts based on user-provided prompts. This documentation provides code examples for integrating the Script Generator into your applications.


Endpoints

FastAPI Endpoint Example

from fastapi import FastAPI, Depends, HTTPException
from fastapi.middleware.cors import CORSMiddleware
import logging
from pydantic import BaseModel

app = FastAPI()

# Configure CORS
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_methods=["*"],
    allow_headers=["*"],
)

# Set up logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class ScriptRequest(BaseModel):
    id: str | None
    prompt: str

@app.post("/generate-script")
async def generate_script(request_data: ScriptRequest, db_session: Session = Depends(get_db)):
    """
    Generates a lesson script based on the provided prompt.
    
    Args:
        request_data (ScriptRequest): The request body containing the prompt and optional ID.
        
    Returns:
        dict: Generated script data with id and content.
    """
    try:
        logger.info(f"Generating script for prompt: {request_data.prompt}")
        # Simulated script generation
        script_content = f"Lesson Script: {request_data.prompt}"
        
        return {
            "id": request_data.id if request_data.id else str(uuid.uuid4()),
            "content": script_content
        }
    except Exception as e:
        logger.error(f"Error generating script: {str(e)}")
        raise HTTPException(status_code=500, detail=str(e))

if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=8000)

React UI Example

import React, { useState } from 'react';

function ScriptGenerator() {
  const [prompt, setPrompt] = useState('');
  const [result, setResult] = useState('');

  const handleSubmit = async (e) => {
    e.preventDefault();
    try {
      const response = await fetch('/generate-script', {
        method: 'POST',
        headers: {
          'Content-Type': 'application/json',
        },
        body: JSON.stringify({ prompt }),
      });
      
      if (!response.ok) {
        throw new Error('Failed to generate script');
      }
      
      const data = await response.json();
      setResult(data.content);
    } catch (error) {
      console.error(error);
    }
  };

  return (
    <div className="container">
      <h1>Script Generator</h1>
      <form onSubmit={handleSubmit}>
        <textarea 
          value={prompt}
          onChange={(e) => setPrompt(e.target.value)}
          placeholder="Enter your prompt here..."
          className="input"
          rows={4}
        />
        <button type="submit" className="btn">Generate Script</button>
      </form>
      
      {result && (
        <div className="output">
          <h3>Generated Script:</h3>
          <pre>{result}</pre>
        </div>
      )}
    </div>
  );
}

export default ScriptGenerator;

Data Schema

from pydantic import BaseModel
from typing import Optional, Union

class ScriptRequest(BaseModel):
    id: Optional[str] = None
    prompt: str
    
    class Config:
        json_schema_extra = {
            "example": {
                "id": "123",
                "prompt": "Create a 5-minute lesson on basic Python syntax"
            }
        }

# Example usage:
request_data = ScriptRequest(
    id="456", 
    prompt="Develop a step-by-step tutorial for AI basics"
)

Examples

API Call

curl -X POST "http://localhost:8000/generate-script" \
     -H "Content-Type: application/json" \
     -d '{"prompt": "Create a 10-minute lesson on React fundamentals"}'

Expected Response

{
    "id": "789",
    "content": "Lesson Script: Create a 10-minute lesson on React fundamentals"
}

Summary

The Script Generator provides an efficient way to automate lesson script creation. The FastAPI endpoint handles the generation logic, while the React component offers a user-friendly interface. The Pydantic model ensures data validation and documentation clarity.

Script Generator Module Documentation

Overview

The Script Generator module leverages AI to create lesson scripts from user prompts. Designed for developers, it offers flexibility in integrating with other modules and provides robust configuration options.


  1. Prompt Parser: Analyzes input prompts and refines them for clarity.
  2. Content Generator: Produces various content types like text, images, or code snippets.
  3. Data Storage: Manages storage solutions such as local files or cloud databases.
  4. User Interface: Facilitates interaction through dashboards or APIs.
  5. Module Logger: Logs interactions for debugging and tracking.

Use Cases

  1. Lesson Script Creation: Generate tailored lesson scripts based on user input.
  2. Multimedia Integration: Create scripts that include images, videos, or audio.
  3. Interactive Learning: Develop dynamic content with embedded quizzes and exercises.
  4. Bulk Generation: Produce multiple scripts simultaneously for different topics.
  5. Third-Party Content Integration: Source content from external APIs within generated scripts.

Integration Tips

  1. Environment Setup: Use environment variables or configuration files to set API keys and preferences.
  2. Code Examples:
    from script_generator import ScriptGenerator
    sg = ScriptGenerator(api_key='your_key')
    script = sg.generate_script(prompt='Explain quantum computing.')
    print(script)
    
  3. Error Handling: Implement try-except blocks to manage generation failures.
  4. Asynchronous Processing:
    async def generate_scripts(prompts):
        await asyncio.gather(*[generate_script(prompt) for prompt in prompts])
    
  5. Resource Management: Optimize memory usage and ensure efficient resource allocation.

Configuration Options

OptionDescriptionDefault ValueConstraints
api_keyAPI key for authentication.NoneRequired
script_formatOutput format (text, markdown, HTML).textValid formats: text, markdown, HTML
max_retriesNumber of retry attempts for failed generations.3Range: 1-10
temperatureControls randomness in generation (0-1 scale).0.7Range: 0-1
output_directoryPath to store generated scripts.’./scripts’Valid directory path
cache_enabledEnable caching of generated scripts.FalseBoolean
max_cache_sizeMaximum number of cached scripts.100Range: 1-1000
async_modeEnable asynchronous script generation.FalseBoolean

Performance Considerations

This documentation provides a comprehensive guide for developers integrating the Script Generator module.