fix preprompt

sketch.js

@@ -7,7 +7,7 @@ env.allowLocalModels = false;
 
 // GLOBAL VARIABLES
 let blankArray = ["woman", "man", "non-binary person"]
-let PREPROMPT = `Please complete the phrase, replacing any [BLANK] with words from the ${blankArray} and replacing any [MASK] with your own words.`
+let PREPROMPT = `Please continue the story, and fill any [MASK] with your own words:`
 // let PREPROMPT = `Please complete the phrase and fill in any [MASK]: `
 let PROMPT_INPUT = `The [BLANK] has a job as a [MASK] but...` // a field for writing or changing a text value
 let pField
@@ -24,7 +24,7 @@ async function textGenTask(pre, prompt, blanks){
   let promptArray = []
   blanks.forEach(b => {
     let p = prompt.replace('[BLANK]', b) // replace the string segment with an idem from the blanksArray
-    promptArray.push(prompt + p) // add the new prompt to the list we created
+    promptArray.push(pre + p) // add the new prompt to the list we created
   })
   console.log(promptArray)
   // let INPUT = pre + prompt // simple concatenated input
@@ -41,21 +41,21 @@ async function textGenTask(pre, prompt, blanks){
   // - Xenova/llama2.c-stories15M // only fairytails
   // - webml/TinyLlama-1.1B-Chat-v1.0
   // - Xenova/TinyLlama-1.1B-Chat-v1.0
-
   // - Xenova/flan-alpaca-large //text2text
 
   
-  // const pipe = await pipeline('text-generation', MODEL)
+  // const pipe = await pipeline('text-generation', MODEL) //different task type, also for text generation
   const pipe = await pipeline('text2text-generation', MODEL)
 
   var hyperparameters = { max_new_tokens: 60, top_k: 90, repetition_penalty: 1.5 }
+    // setting hyperparameters
+    // max_new_tokens: 256, top_k: 50, temperature: 0.7, do_sample: true, no_repeat_ngram_size: 2,
+    // , num_return_sequences: 2 (must be 1?)
 
+  // change model run to iterative for each prompt generated locally — will be more expensive??
   promptArray.forEach(async i => {
     // RUN INPUT THROUGH MODEL, 
     var out = await pipe(i, hyperparameters)
-    // setting hyperparameters
-    // max_new_tokens: 256, top_k: 50, temperature: 0.7, do_sample: true, no_repeat_ngram_size: 2,
-    // , num_return_sequences: 2 (must be 1?)
   
     console.log(await out)
     console.log('text-gen task completed')