89 lines
2.6 KiB
Python
89 lines
2.6 KiB
Python
"""
|
|
Usage:
|
|
python3 -m sglang.launch_server --model-path liuhaotian/llava-v1.5-7b --tokenizer-path llava-hf/llava-1.5-7b-hf --port 30000
|
|
python3 test_httpserver_llava.py
|
|
|
|
Output:
|
|
The image features a man standing on the back of a yellow taxi cab, holding
|
|
"""
|
|
|
|
import argparse
|
|
import asyncio
|
|
import json
|
|
|
|
import aiohttp
|
|
import requests
|
|
|
|
|
|
async def send_request(url, data, delay=0):
|
|
await asyncio.sleep(delay)
|
|
async with aiohttp.ClientSession() as session:
|
|
async with session.post(url, json=data) as resp:
|
|
output = await resp.json()
|
|
return output
|
|
|
|
|
|
async def test_concurrent(args):
|
|
url = f"{args.host}:{args.port}"
|
|
|
|
response = []
|
|
for i in range(8):
|
|
response.append(
|
|
send_request(
|
|
url + "/generate",
|
|
{
|
|
"text": "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions. USER: <image>\nDescribe this picture ASSISTANT:",
|
|
"image_data": "example_image.png",
|
|
"sampling_params": {
|
|
"temperature": 0,
|
|
"max_new_tokens": 64,
|
|
},
|
|
},
|
|
)
|
|
)
|
|
|
|
rets = await asyncio.gather(*response)
|
|
for ret in rets:
|
|
print(ret["text"])
|
|
|
|
|
|
def test_streaming(args):
|
|
url = f"{args.host}:{args.port}"
|
|
|
|
response = requests.post(
|
|
url + "/generate",
|
|
json={
|
|
"text": "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions. USER: <image>\nDescribe this picture ASSISTANT:",
|
|
"image_data": "example_image.png",
|
|
"sampling_params": {
|
|
"temperature": 0,
|
|
"max_new_tokens": 128,
|
|
},
|
|
"stream": True,
|
|
},
|
|
stream=True,
|
|
)
|
|
|
|
prev = 0
|
|
for chunk in response.iter_lines(decode_unicode=False):
|
|
chunk = chunk.decode("utf-8")
|
|
if chunk and chunk.startswith("data:"):
|
|
if chunk == "data: [DONE]":
|
|
break
|
|
data = json.loads(chunk[5:].strip("\n"))
|
|
output = data["text"].strip()
|
|
print(output[prev:], end="", flush=True)
|
|
prev = len(output)
|
|
print("")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument("--host", type=str, default="http://127.0.0.1")
|
|
parser.add_argument("--port", type=int, default=30000)
|
|
args = parser.parse_args()
|
|
|
|
asyncio.run(test_concurrent(args))
|
|
|
|
test_streaming(args)
|