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"""
Test the OpenAI compatible server
Launch:
python3 launch_openai_api_test_server.py --multimodal
"""
import openai
from fastchat.utils import run_cmd
openai.api_key = "EMPTY" # Not support yet
openai.base_url = "http://localhost:8000/v1/"
def encode_image(image):
import base64
from io import BytesIO
import requests
from PIL import Image
if image.startswith("http://") or image.startswith("https://"):
response = requests.get(image)
image = Image.open(BytesIO(response.content)).convert("RGB")
else:
image = Image.open(image).convert("RGB")
buffered = BytesIO()
image.save(buffered, format="PNG")
img_b64_str = base64.b64encode(buffered.getvalue()).decode("utf-8")
return img_b64_str
def test_list_models():
model_list = openai.models.list()
names = [x.id for x in model_list.data]
return names
def test_chat_completion(model):
image_url = "https://picsum.photos/seed/picsum/1024/1024"
base64_image_url = f"data:image/jpeg;base64,{encode_image(image_url)}"
# No Image
completion = openai.chat.completions.create(
model=model,
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "Tell me about alpacas."},
],
}
],
temperature=0,
)
print(completion.choices[0].message.content)
print("=" * 25)
# Image using url link
completion = openai.chat.completions.create(
model=model,
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What’s in this image?"},
{"type": "image_url", "image_url": {"url": image_url}},
],
}
],
temperature=0,
)
print(completion.choices[0].message.content)
print("=" * 25)
# Image using base64 image url
completion = openai.chat.completions.create(
model=model,
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What’s in this image?"},
{"type": "image_url", "image_url": {"url": base64_image_url}},
],
}
],
temperature=0,
)
print(completion.choices[0].message.content)
print("=" * 25)
def test_chat_completion_stream(model):
image_url = "https://picsum.photos/seed/picsum/1024/1024"
messages = [
{
"role": "user",
"content": [
{"type": "text", "text": "What’s in this image?"},
{"type": "image_url", "image_url": {"url": image_url}},
],
}
]
res = openai.chat.completions.create(
model=model, messages=messages, stream=True, temperature=0
)
for chunk in res:
try:
content = chunk.choices[0].delta.content
if content is None:
content = ""
except Exception as e:
content = chunk.choices[0].delta.get("content", "")
print(content, end="", flush=True)
print()
def test_openai_curl():
run_cmd(
"""curl http://localhost:8000/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "llava-v1.5-7b",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "What’s in this image?"
},
{
"type": "image_url",
"image_url": {
"url": "https://picsum.photos/seed/picsum/1024/1024"
}
}
]
}
],
"max_tokens": 300
}'
"""
)
print()
if __name__ == "__main__":
models = test_list_models()
print(f"models: {models}")
for model in models:
print(f"===== Test {model} ======")
test_chat_completion(model)
test_chat_completion_stream(model)
test_openai_curl()
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