87 lines
2.1 KiB
GLSL
Executable File
87 lines
2.1 KiB
GLSL
Executable File
#!/usr/bin/env -S v -n -w -gc none -cc tcc -d use_openssl -enable-globals run
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import incubaid.herolib.clients.jina
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mut jina_client := jina.new()!
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health := jina_client.health()!
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println('Server health: ${health}')
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// Create embeddings
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embeddings := jina_client.create_embeddings(
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input: ['Hello', 'World']
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model: .jina_embeddings_v3
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task: 'separation'
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) or { panic('Error while creating embeddings: ${err}') }
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println('Created embeddings: ${embeddings}')
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// Rerank
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rerank_result := jina_client.rerank(
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model: .reranker_v2_base_multilingual
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query: 'skincare products'
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documents: ['Product A', 'Product B', 'Product C']
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top_n: 2
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) or { panic('Error while reranking: ${err}') }
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println('Rerank result: ${rerank_result}')
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// Train
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train_result := jina_client.train(
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model: .jina_clip_v1
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input: [
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jina.TrainingExample{
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text: 'Sample text'
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label: 'positive'
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},
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jina.TrainingExample{
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image: 'https://picsum.photos/id/11/367/267'
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label: 'negative'
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},
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]
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) or { panic('Error while training: ${err}') }
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println('Train result: ${train_result}')
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// Classify
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classify_result := jina_client.classify(
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model: .jina_clip_v1
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input: [
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jina.ClassificationInput{
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text: 'A photo of a cat'
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},
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jina.ClassificationInput{
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image: 'https://picsum.photos/id/11/367/267'
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},
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]
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labels: ['cat', 'dog']
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) or { panic('Error while classifying: ${err}') }
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println('Classification result: ${classify_result}')
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// List classifiers
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classifiers := jina_client.list_classifiers() or { panic('Error fetching classifiers: ${err}') }
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println('Classifiers: ${classifiers}')
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// Delete classifier
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delete_result := jina_client.delete_classifier(classifier_id: classifiers[0].classifier_id) or {
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panic('Error deleting classifier: ${err}')
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}
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println('Delete result: ${delete_result}')
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// Create multi vector
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multi_vector := jina_client.create_multi_vector(
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input: [
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jina.MultiVectorTextDoc{
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text: 'Hello world'
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input_type: .document
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},
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jina.MultiVectorTextDoc{
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text: "What's up?"
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input_type: .query
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},
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]
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embedding_type: ['float']
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// dimensions: 96
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)!
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println('Multi vector: ${multi_vector}')
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