mirror of https://github.com/mudler/LocalAI.git
56 lines
1.4 KiB
Go
56 lines
1.4 KiB
Go
package openai
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import (
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"github.com/go-skynet/LocalAI/core/backend"
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"github.com/go-skynet/LocalAI/core/config"
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"github.com/go-skynet/LocalAI/core/schema"
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model "github.com/go-skynet/LocalAI/pkg/model"
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)
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func ComputeChoices(
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req *schema.OpenAIRequest,
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predInput string,
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config *config.BackendConfig,
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o *config.ApplicationConfig,
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loader *model.ModelLoader,
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cb func(string, *[]schema.Choice),
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tokenCallback func(string, backend.TokenUsage) bool) ([]schema.Choice, backend.TokenUsage, error) {
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n := req.N // number of completions to return
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result := []schema.Choice{}
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if n == 0 {
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n = 1
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}
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images := []string{}
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for _, m := range req.Messages {
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images = append(images, m.StringImages...)
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}
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// get the model function to call for the result
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predFunc, err := backend.ModelInference(req.Context, predInput, images, loader, *config, o, tokenCallback)
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if err != nil {
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return result, backend.TokenUsage{}, err
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}
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tokenUsage := backend.TokenUsage{}
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for i := 0; i < n; i++ {
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prediction, err := predFunc()
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if err != nil {
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return result, backend.TokenUsage{}, err
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}
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tokenUsage.Prompt += prediction.Usage.Prompt
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tokenUsage.Completion += prediction.Usage.Completion
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finetunedResponse := backend.Finetune(*config, predInput, prediction.Response)
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cb(finetunedResponse, &result)
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//result = append(result, Choice{Text: prediction})
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}
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return result, tokenUsage, err
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}
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