Sarah Ciston
commited on
Commit
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d3ccb32
1
Parent(s):
cb1ef38
form check
Browse files
sketch.js
CHANGED
@@ -27,33 +27,33 @@ var PROMPT = `${promptInput}`
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// for num of inputs put in list
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var inputArray = [`${maskInputA}`, `${maskInputB}`, `${maskInputC}`]
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async function runModel(){
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}
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// Reference the elements that we will need
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@@ -214,17 +214,23 @@ new p5(function(p5){
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promptButton = p5.createButton("GO").position(0, 340);
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promptButton.position(0, 340);
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promptButton.elt.style.fontSize = "15px";
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promptButton.mousePressed(
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promptInput.changed(
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maskInputA.changed(
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maskInputB.changed(
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maskInputC.changed(
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// describe(``)
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// TO-DO alt-text description
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}
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// var result = promptButton.mousePressed(runModel) = function(){
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// // listens for the button to be clicked
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// // run the prompt through the model here
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// for num of inputs put in list
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var inputArray = [`${maskInputA}`, `${maskInputB}`, `${maskInputC}`]
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// async function runModel(){
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// // Chat completion API
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// const out = await inference.chatCompletion({
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// model: MODELNAME,
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// // model: "google/gemma-2-9b",
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// messages: [{ role: "user", content: PREPROMPT + PROMPT }],
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// max_tokens: 100
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// });
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// // let out = await pipe(PREPROMPT + PROMPT)
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// // let out = await pipe(PREPROMPT + PROMPT, {
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// // max_new_tokens: 250,
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// // temperature: 0.9,
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// // // return_full_text: False,
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// // repetition_penalty: 1.5,
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// // // no_repeat_ngram_size: 2,
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// // // num_beams: 2,
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// // num_return_sequences: 1
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// // });
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// console.log(out)
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// var result = await out.choices[0].message.content
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// // var result = await out[0].generated_text
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// console.log(result);
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// return result
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// }
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// Reference the elements that we will need
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promptButton = p5.createButton("GO").position(0, 340);
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promptButton.position(0, 340);
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promptButton.elt.style.fontSize = "15px";
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promptButton.mousePressed(test)
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promptInput.changed(test)
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maskInputA.changed(test)
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maskInputB.changed(test)
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maskInputC.changed(test)
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// describe(``)
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// TO-DO alt-text description
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}
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function test(){
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console.log('did something')
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console.log(PROMPT)
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console.log(inputArray)
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}
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// var result = promptButton.mousePressed(runModel) = function(){
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// // listens for the button to be clicked
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// // run the prompt through the model here
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