himbot/lib/replicate.go
2024-03-30 02:17:49 -06:00

142 lines
4.1 KiB
Go

package lib
import (
"bytes"
"context"
"errors"
"io"
"log"
"net/http"
"os"
"strings"
"github.com/replicate/replicate-go"
)
var ReplicatePromptPrefix = "Your designation is Himbot. You are an assistant bot designed to provide helpful responses with a touch of wit and sarcasm. Your responses should be natural and engaging, reflecting your unique personality. Avoid clichéd or overused expressions of sarcasm. Instead, focus on delivering information in a clever and subtly humorous way. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information."
func ReplicateTextGeneration(prompt string) (string, error) {
client, clientError := replicate.NewClient(replicate.WithTokenFromEnv())
if clientError != nil {
return "", clientError
}
input := replicate.PredictionInput{
"prompt": prompt,
"system_prompt": ReplicatePromptPrefix,
"max_new_tokens": 4096,
}
webhook := replicate.Webhook{
URL: "https://example.com/webhook",
Events: []replicate.WebhookEventType{"start", "completed"},
}
prediction, predictionError := client.Run(context.Background(), "meta/llama-2-70b-chat:2d19859030ff705a87c746f7e96eea03aefb71f166725aee39692f1476566d48", input, &webhook)
if predictionError != nil {
return "", predictionError
}
if prediction == nil {
return "", errors.New("there was an error generating a response based on this prompt... please reach out to @himbothyswaggins to fix this issue")
}
test, ok := prediction.([]interface{})
if !ok {
return "", errors.New("there was an error generating a response based on this prompt... please reach out to @himbothyswaggins to fix this issue")
}
strs := make([]string, len(test))
for i, v := range test {
str, ok := v.(string)
if !ok {
return "", errors.New("element is not a string")
}
strs[i] = str
}
result := strings.Join(strs, "")
return result, nil
}
func ReplicateImageGeneration(prompt string, filename string) (*bytes.Buffer, error) {
client, clientError := replicate.NewClient(replicate.WithTokenFromEnv())
if clientError != nil {
return nil, clientError
}
input := replicate.PredictionInput{
"width": 1024,
"height": 1024,
"prompt": prompt,
"refine": "expert_ensemble_refiner",
"num_outputs": 1,
"disable_safety_checker": true,
}
webhook := replicate.Webhook{
URL: "https://example.com/webhook",
Events: []replicate.WebhookEventType{"start", "completed"},
}
prediction, predictionError := client.Run(context.Background(), "stability-ai/sdxl:39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b", input, &webhook)
if predictionError != nil {
return nil, predictionError
}
if prediction == nil {
return nil, errors.New("there was an error generating the image based on this prompt... please reach out to @himbothyswaggins to fix this issue")
}
test, ok := prediction.([]interface{})
if !ok {
return nil, errors.New("there was an error generating the image based on this prompt... please reach out to @himbothyswaggins to fix this issue")
}
imgUrl, ok := test[0].(string)
if !ok {
return nil, errors.New("there was an error generating the image based on this prompt... please reach out to @himbothyswaggins to fix this issue")
}
imageRes, imageGetErr := http.Get(imgUrl)
if imageGetErr != nil {
return nil, imageGetErr
}
defer imageRes.Body.Close()
imageBytes, imgReadErr := io.ReadAll(imageRes.Body)
if imgReadErr != nil {
return nil, imgReadErr
}
// Save image to a temporary file
tmpfile, err := os.Create(filename)
if err != nil {
log.Fatal(err)
}
defer os.Remove(tmpfile.Name())
if _, err := tmpfile.Write(imageBytes); err != nil {
log.Fatal(err)
}
if err := tmpfile.Close(); err != nil {
log.Fatal(err)
}
// Upload the image to S3
_, uploadErr := UploadToS3(tmpfile.Name())
if uploadErr != nil {
log.Printf("Failed to upload image to S3: %v", uploadErr)
}
imageFile := bytes.NewBuffer(imageBytes)
return imageFile, nil
}