LocalAI/tests/e2e-aio/e2e_test.go
Ettore Di Giacinto c9adc5680c
fix(aio): make image-gen for GPU functional, update docs (#1895)
* readme: update quickstart

* aio(gpu): fix dreamshaper

* tests(aio): allow to run tests also against an endpoint

* docs: split content

* tests: less verbosity

---------

Co-authored-by: Dave <dave@gray101.com>
2024-03-25 21:04:32 +00:00

153 lines
4.1 KiB
Go

package e2e_test
import (
"context"
"fmt"
"io"
"net/http"
"os"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
"github.com/sashabaranov/go-openai"
)
var _ = Describe("E2E test", func() {
Context("Generating", func() {
BeforeEach(func() {
//
})
// Check that the GPU was used
AfterEach(func() {
//
})
Context("text", func() {
It("correctly", func() {
model := "gpt-4"
resp, err := client.CreateChatCompletion(context.TODO(),
openai.ChatCompletionRequest{
Model: model, Messages: []openai.ChatCompletionMessage{
{
Role: "user",
Content: "How much is 2+2?",
},
}})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1), fmt.Sprint(resp))
Expect(resp.Choices[0].Message.Content).To(Or(ContainSubstring("4"), ContainSubstring("four")), fmt.Sprint(resp.Choices[0].Message.Content))
})
})
Context("images", func() {
It("correctly", func() {
resp, err := client.CreateImage(context.TODO(),
openai.ImageRequest{
Prompt: "test",
Size: openai.CreateImageSize512x512,
//ResponseFormat: openai.CreateImageResponseFormatURL,
},
)
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Data)).To(Equal(1), fmt.Sprint(resp))
Expect(resp.Data[0].URL).To(ContainSubstring("png"), fmt.Sprint(resp.Data[0].URL))
})
})
Context("embeddings", func() {
It("correctly", func() {
resp, err := client.CreateEmbeddings(context.TODO(),
openai.EmbeddingRequestStrings{
Input: []string{"doc"},
Model: openai.AdaEmbeddingV2,
},
)
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Data)).To(Equal(1), fmt.Sprint(resp))
Expect(resp.Data[0].Embedding).ToNot(BeEmpty())
})
})
Context("vision", func() {
It("correctly", func() {
model := "gpt-4-vision-preview"
resp, err := client.CreateChatCompletion(context.TODO(),
openai.ChatCompletionRequest{
Model: model, Messages: []openai.ChatCompletionMessage{
{
Role: "user",
MultiContent: []openai.ChatMessagePart{
{
Type: openai.ChatMessagePartTypeText,
Text: "What is in the image?",
},
{
Type: openai.ChatMessagePartTypeImageURL,
ImageURL: &openai.ChatMessageImageURL{
URL: "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
Detail: openai.ImageURLDetailLow,
},
},
},
},
}})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1), fmt.Sprint(resp))
Expect(resp.Choices[0].Message.Content).To(Or(ContainSubstring("wooden"), ContainSubstring("grass")), fmt.Sprint(resp.Choices[0].Message.Content))
})
})
Context("text to audio", func() {
It("correctly", func() {
res, err := client.CreateSpeech(context.Background(), openai.CreateSpeechRequest{
Model: openai.TTSModel1,
Input: "Hello!",
Voice: openai.VoiceAlloy,
})
Expect(err).ToNot(HaveOccurred())
defer res.Close()
_, err = io.ReadAll(res)
Expect(err).ToNot(HaveOccurred())
})
})
Context("audio to text", func() {
It("correctly", func() {
downloadURL := "https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav"
file, err := downloadHttpFile(downloadURL)
Expect(err).ToNot(HaveOccurred())
req := openai.AudioRequest{
Model: openai.Whisper1,
FilePath: file,
}
resp, err := client.CreateTranscription(context.Background(), req)
Expect(err).ToNot(HaveOccurred())
Expect(resp.Text).To(ContainSubstring("This is the"), fmt.Sprint(resp.Text))
})
})
})
})
func downloadHttpFile(url string) (string, error) {
resp, err := http.Get(url)
if err != nil {
return "", err
}
defer resp.Body.Close()
tmpfile, err := os.CreateTemp("", "example")
if err != nil {
return "", err
}
defer tmpfile.Close()
_, err = io.Copy(tmpfile, resp.Body)
if err != nil {
return "", err
}
return tmpfile.Name(), nil
}