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58 lines
1.5 KiB
58 lines
1.5 KiB
package langchain
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// This is a wrapper to statisfy the GRPC service interface
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// It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
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import (
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"fmt"
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"github.com/go-skynet/LocalAI/pkg/grpc/base"
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pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
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"github.com/go-skynet/LocalAI/pkg/langchain"
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)
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type LLM struct {
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base.Base
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langchain *langchain.HuggingFace
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model string
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}
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func (llm *LLM) Load(opts *pb.ModelOptions) error {
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llm.langchain, _ = langchain.NewHuggingFace(opts.Model)
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llm.model = opts.Model
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return nil
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}
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func (llm *LLM) Predict(opts *pb.PredictOptions) (string, error) {
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o := []langchain.PredictOption{
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langchain.SetModel(llm.model),
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langchain.SetMaxTokens(int(opts.Tokens)),
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langchain.SetTemperature(float64(opts.Temperature)),
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langchain.SetStopWords(opts.StopPrompts),
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}
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pred, err := llm.langchain.PredictHuggingFace(opts.Prompt, o...)
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if err != nil {
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return "", err
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}
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return pred.Completion, nil
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}
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func (llm *LLM) PredictStream(opts *pb.PredictOptions, results chan string) error {
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o := []langchain.PredictOption{
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langchain.SetModel(llm.model),
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langchain.SetMaxTokens(int(opts.Tokens)),
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langchain.SetTemperature(float64(opts.Temperature)),
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langchain.SetStopWords(opts.StopPrompts),
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}
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go func() {
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res, err := llm.langchain.PredictHuggingFace(opts.Prompt, o...)
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if err != nil {
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fmt.Println("err: ", err)
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}
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results <- res.Completion
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close(results)
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}()
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return nil
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}
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