130 lines
3.0 KiB
Go
130 lines
3.0 KiB
Go
/*
|
|
Copyright 2024 The Dapr Authors
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
*/
|
|
package huggingface
|
|
|
|
import (
|
|
"context"
|
|
"reflect"
|
|
|
|
"github.com/dapr/components-contrib/conversation"
|
|
"github.com/dapr/components-contrib/metadata"
|
|
"github.com/dapr/kit/logger"
|
|
kmeta "github.com/dapr/kit/metadata"
|
|
|
|
"github.com/tmc/langchaingo/llms"
|
|
"github.com/tmc/langchaingo/llms/huggingface"
|
|
)
|
|
|
|
type Huggingface struct {
|
|
llm llms.Model
|
|
|
|
logger logger.Logger
|
|
}
|
|
|
|
func NewHuggingface(logger logger.Logger) conversation.Conversation {
|
|
h := &Huggingface{
|
|
logger: logger,
|
|
}
|
|
|
|
return h
|
|
}
|
|
|
|
const defaultModel = "meta-llama/Meta-Llama-3-8B"
|
|
|
|
func (h *Huggingface) Init(ctx context.Context, meta conversation.Metadata) error {
|
|
m := conversation.LangchainMetadata{}
|
|
err := kmeta.DecodeMetadata(meta.Properties, &m)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
model := defaultModel
|
|
if m.Model != "" {
|
|
model = m.Model
|
|
}
|
|
|
|
llm, err := huggingface.New(
|
|
huggingface.WithModel(model),
|
|
huggingface.WithToken(m.Key),
|
|
)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
h.llm = llm
|
|
|
|
if m.CacheTTL != "" {
|
|
cachedModel, cacheErr := conversation.CacheModel(ctx, m.CacheTTL, h.llm)
|
|
if cacheErr != nil {
|
|
return cacheErr
|
|
}
|
|
|
|
h.llm = cachedModel
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
func (h *Huggingface) GetComponentMetadata() (metadataInfo metadata.MetadataMap) {
|
|
metadataStruct := conversation.LangchainMetadata{}
|
|
metadata.GetMetadataInfoFromStructType(reflect.TypeOf(metadataStruct), &metadataInfo, metadata.ConversationType)
|
|
return
|
|
}
|
|
|
|
func (h *Huggingface) Converse(ctx context.Context, r *conversation.ConversationRequest) (res *conversation.ConversationResponse, err error) {
|
|
messages := make([]llms.MessageContent, 0, len(r.Inputs))
|
|
|
|
for _, input := range r.Inputs {
|
|
role := conversation.ConvertLangchainRole(input.Role)
|
|
|
|
messages = append(messages, llms.MessageContent{
|
|
Role: role,
|
|
Parts: []llms.ContentPart{
|
|
llms.TextPart(input.Message),
|
|
},
|
|
})
|
|
}
|
|
|
|
opts := []llms.CallOption{}
|
|
|
|
if r.Temperature > 0 {
|
|
opts = append(opts, conversation.LangchainTemperature(r.Temperature))
|
|
}
|
|
|
|
resp, err := h.llm.GenerateContent(ctx, messages, opts...)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
outputs := make([]conversation.ConversationResult, 0, len(resp.Choices))
|
|
|
|
for i := range resp.Choices {
|
|
outputs = append(outputs, conversation.ConversationResult{
|
|
Result: resp.Choices[i].Content,
|
|
Parameters: r.Parameters,
|
|
})
|
|
}
|
|
|
|
res = &conversation.ConversationResponse{
|
|
Outputs: outputs,
|
|
}
|
|
|
|
return res, nil
|
|
}
|
|
|
|
func (h *Huggingface) Close() error {
|
|
return nil
|
|
}
|