Forum Discussion
Integrating a Chatbot into My Storyline Project
Hi all, I'd like to integrate chatbots in my Storyline courses in the near future. I tried a little test with my ChatGPT API key. It doesn't work because I don't want to buy API tokens. Also, I read...
I've used the API to get this working within storyline using this code:
const player = GetPlayer();
// You should change the following 3 variables. Make sure that the text is enclosed by quotation marks.
const systemRequest = "XXXXX";
const userInputVariable = "Message_to_Colleague";
const aiOutputVariable = "gptresponse";
const colleagueChatVariable = "Colleague_Chat";
const userEntry = player.GetVar(userInputVariable);
const token = player.GetVar("OpenAI_API");
const auth = "Bearer " + token;
console.log("Authorization:", auth); // Log the entire Authorization header
function sendRequest() {
fetch("https://api.openai.com/v1/chat/completions", {
method: 'POST',
headers: {
'Authorization': auth,
'Content-Type': 'application/json'
},
body: JSON.stringify({
"model": "gpt-3.5-turbo",
"messages": [
{
"role": "system",
"content": systemRequest
},
{
"role": "user",
"content": userEntry
}
]
})
}).then(response => {
if (!response.ok) {
return response.json().then(err => {
throw new Error(`HTTP error! status: ${response.status}, message: ${err.error?.message || "Unknown error"}`);
});
}
return response.json();
}).then(data => {
console.log("Response Data:", data); // Log the response data
let aiText = data.choices[0].message.content;
player.SetVar(aiOutputVariable, aiText);
// Format and update the Colleague_Chat variable
let formattedMessage = "<b>Q: </b>" + userEntry + "<br><b>A: </b>" + aiText;
let currentChat = player.GetVar(colleagueChatVariable) || ""; // Get current chat history
let updatedChat = currentChat + "<br>" + formattedMessage; // Append new message
player.SetVar(colleagueChatVariable, updatedChat);
sendRequest();The slide is just a regular text input box, textbox and button plus the appropriate variables in storyline.
The API is populated from a seperate XML file that's uploaded to the VLE seperately. That gives us more control over how and when students can use the chatGPT function and combined with the resource being available only to a select set of students, it's pretty secure.
Thanks so much! I'm still new to JavaScript and putting together a separate XLM file is a bit above my head. I'll talk to tech. It would be better to have more control over it. Thank you for the script. I'll try it. Here's what I (and ChatGPT) came up with:
// Step 1: Capture the learner's SMART goal from the Storyline variable
var player = GetPlayer();
var userGoal = player.GetVar("GoalText"); // Replace 'GoalText' with the actual variable name in Storyline
// Step 2: OpenAI API setup
const apiKey = 'myKey'; // Replace this with your OpenAI API key once you have it
const apiUrl = 'https://api.openai.com/v1/chat/completions';
// Step 3: Prepare the data to send to OpenAI
const data = {
model: "gpt-4", // Model can be gpt-3.5-turbo or gpt-4 depending on your API access
messages: [
{
role: "system",
content: "You are an assistant that helps users write SMART goals. Provide feedback on Specific, Measurable, Achievable, Relevant, and Time-bound aspects of the goal. Please be succinct and ensure you can answer fully with the 500 max_limit tokens. Include a concise summary of your conclusions with a rating score of 1-5, with 5 being the highest quality."
},
{
role: "user",
content: `Here is the SMART goal: "${userGoal}". Please analyze and provide feedback on it.`
}
],
max_tokens: 500, // Limit the response length to avoid using too many tokens
temperature: 0.7 // Adjusts the creativity of the response (0.7 is a good balance)
};
// Step 4: Send the API request to OpenAI
fetch(apiUrl, {
method: 'POST',
headers: {
'Authorization': `Bearer ${apiKey}`,
'Content-Type': 'application/json'
},
body: JSON.stringify(data)
})
.then(response => response.json())
.then(data => {
// Step 5: Handle the response and set it to a Storyline variable
if (data && data.choices && data.choices.length > 0) {
var feedback = data.choices[0].message.content.trim(); // Extract feedback from the response
player.SetVar("AI_Feedback", feedback); // Store the feedback in a Storyline variable
} else {
player.SetVar("AI_Feedback", "No valid feedback received."); // In case no feedback is returned
}
})
.catch(error => {
console.error("Error:", error);
player.SetVar("AI_Feedback", "There was an error connecting to the AI service.");
});It's geared towards mentoring about a specific topic. I'd like to embed a chatbot that users can access on any page of the course and ask questions about the content. That's a much different animal.