package lib import ( "bytes" "context" "errors" "io" "log" "net/http" "os" "strings" "github.com/replicate/replicate-go" ) func ReplicateTextGeneration(prompt string) (string, error) { client, clientError := replicate.NewClient(replicate.WithTokenFromEnv()) if clientError != nil { return "", clientError } input := replicate.PredictionInput{ "prompt": prompt, } 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 } test, ok := prediction.([]interface{}) if !ok { return "", errors.New("there was an error generating the image based on this prompt... this usually happens when the generated image violates safety requirements") } 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{ "prompt": prompt, "refiner": "expert_ensemble_refiner", "num_inference_steps": 69, "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 } test, ok := prediction.([]interface{}) if !ok { return nil, errors.New("there was an error generating the image based on this prompt... this usually happens when the generated image violates safety requirements") } imgUrl, ok := test[0].(string) if !ok { return nil, errors.New("there was an error generating the image based on this prompt... this usually happens when the generated image violates safety requirements") } 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 }