From a566129971f1a29b1d42679befa27c63b73a7167 Mon Sep 17 00:00:00 2001 From: bobzel Date: Tue, 27 Aug 2024 17:43:27 -0400 Subject: move chat tag labels to tags_chat and updated tagsView --- .../collections/collectionFreeForm/ImageLabelBox.tsx | 15 +++++++-------- 1 file changed, 7 insertions(+), 8 deletions(-) (limited to 'src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx') diff --git a/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx b/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx index 5d3154e3c..e419e522c 100644 --- a/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx +++ b/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx @@ -163,7 +163,7 @@ export class ImageLabelBox extends ViewBoxBaseComponent() { // Converts the images into a Base64 format, afterwhich the information is sent to GPT to label them. const imageInfos = this._selectedImages.map(async doc => { - if (!doc[DocData].tags) { + if (!doc[DocData].tags_chat) { const [name, type] = ImageCast(doc[Doc.LayoutFieldKey(doc)]).url.href.split('.'); return CollectionCardView.imageUrlToBase64(`${name}_o.${type}`).then(hrefBase64 => !hrefBase64 ? undefined : @@ -174,7 +174,7 @@ export class ImageLabelBox extends ViewBoxBaseComponent() { (await Promise.all(imageInfos)).forEach(imageInfo => { if (imageInfo) { - imageInfo.doc[DocData].tags = (imageInfo.doc[DocData].tags as List) ?? new List(); + imageInfo.doc[DocData].tags_chat = (imageInfo.doc[DocData].tags_chat as List) ?? new List(); const labels = imageInfo.labels.split('\n'); labels.forEach(label => { @@ -184,8 +184,7 @@ export class ImageLabelBox extends ViewBoxBaseComponent() { .replace(/^\d+\.\s*|-|f\*/, '') .replace(/^#/, '') .trim(); - imageInfo.doc[DocData][label] = true; - (imageInfo.doc[DocData].tags as List).push(label); + (imageInfo.doc[DocData].tags_chat as List).push(label); }); } }); @@ -200,8 +199,8 @@ export class ImageLabelBox extends ViewBoxBaseComponent() { this.startLoading(); for (const doc of this._selectedImages) { - for (let index = 0; index < (doc[DocData].tags as List).length; index++) { - const label = (doc[DocData].tags as List)[index]; + for (let index = 0; index < (doc[DocData].tags_chat as List).length; index++) { + const label = (doc[DocData].tags_chat as List)[index]; const embedding = await gptGetEmbedding(label); doc[DocData][`tags_embedding_${index + 1}`] = new List(embedding); } @@ -214,7 +213,7 @@ export class ImageLabelBox extends ViewBoxBaseComponent() { // For each image, loop through the labels, and calculate similarity. Associate it with the // most similar one. this._selectedImages.forEach(doc => { - const embedLists = numberRange((doc[DocData].tags as List).length).map(n => Array.from(NumListCast(doc[DocData][`tags_embedding_${n + 1}`]))); + const embedLists = numberRange((doc[DocData].tags_chat as List).length).map(n => Array.from(NumListCast(doc[DocData][`tags_embedding_${n + 1}`]))); const bestEmbedScore = (embedding: Opt) => Math.max(...embedLists.map((l, index) => (embedding && similarity(Array.from(embedding), l)!) || 0)); const {label: mostSimilarLabelCollect} = this._labelGroups.map(label => ({ label, similarityScore: bestEmbedScore(labelToEmbedding.get(label)) })) @@ -321,7 +320,7 @@ export class ImageLabelBox extends ViewBoxBaseComponent() { await DocumentView.showDocument(doc, { willZoomCentered: true }); }}>
this._props.addDocTab(doc, OpenWhere.addRightKeyvalue)}> - {(doc[DocData].tags as List).map(label => { + {(doc[DocData].tags_chat as List).map(label => { return (
{label} -- cgit v1.2.3-70-g09d2