change model to 'Xenova/LaMini-Cerebras-256M', update results text with check

sketch.js

@@ -20,13 +20,13 @@ async function textGenTask(pre, prompt){
   let INPUT = prompt
 
   // PICK MODEL 
-  let MODEL = 'Xenova/distilgpt2'
+  let MODEL = 'Xenova/LaMini-Cerebras-256M'
   // const = modelsList = ['Xenova/LaMini-Cerebras-256M', 'Xenova/TinyLlama-1.1B-Chat-v1.0', 'Xenova/distilgpt2', 'Xenova/bloom-560m']
 
   const pipe = await pipeline('text-generation', MODEL)
 
   // RUN INPUT THROUGH MODEL, 
-  var out = await pipe(INPUT, { top_k: 30, max_new_tokens: 100 })
+  var out = await pipe(INPUT, { max_new_tokens: 60 })
   // setting hyperparameters
   // max_new_tokens: 256, top_k: 50, temperature: 0.7, do_sample: true,
 
@@ -134,25 +134,28 @@ new p5(function (p5){
     submitButton.size(170)
     submitButton.class('submit')
     submitButton.mousePressed(displayResults)
-    let outHeader = p5.createElement('h3',"Results") 
+    let outHeader = p5.createElement('h3',"Results")
   }
 
   async function displayResults(){
     console.log('submitButton pressed')
 
-    PROMPT_INPUT = pField.value() // updates prompt if it's changed
-    console.log("latest prompt: ", PROMPT_INPUT)
+    // look for a paragraph element to put the results in; if it doesn't exist, create it
+    let outText = document.querySelector("#results") 
+    if (outText == null) {
+      p5.createP('...').id('results')
+    }
 
-    // let fillIn = await fillInTask(PROMPT_INPUT)
-    // let outs = await getOutputs(fillIn)
+    PROMPT_INPUT = pField.value() // grab update to the prompt if it's been changed
+    console.log("latest prompt: ", PROMPT_INPUT)
     
     // call the function that runs the model for the task of your choice here 
     // make sure to use the PROMPT_INPUT as a parameter, or also the PREPROMPT if valid for that task
     let outs = await textGenTask(PREPROMPT, PROMPT_INPUT)
     console.log(outs)
-  
-    let outText = p5.createP('...')
-    await outText.html(outs, 'false') // true appends text instead of replaces
+
+    // insert the model outputs into the paragraph
+    await outText.html(outs, 'true') // true replaces text instead of appends?
   }
 
 });