22085081bb
Co-authored-by: Ying Sheng <sqy1415@gmail.com> Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com> Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu> Co-authored-by: parasol-aser <3848358+parasol-aser@users.noreply.github.com> Co-authored-by: LiviaSun <33578456+ChuyueSun@users.noreply.github.com> Co-authored-by: Cody Yu <hao.yu.cody@gmail.com>
85 lines
2.5 KiB
Python
85 lines
2.5 KiB
Python
"""
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python3 -m sglang.launch_server --model-path liuhaotian/llava-v1.5-7b --tokenizer-path llava-hf/llava-1.5-7b-hf --port 30000
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Output:
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The image features a man standing on the back of a yellow taxi cab, holding
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"""
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import argparse
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import asyncio
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import json
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import time
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import aiohttp
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import requests
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async def send_request(url, data, delay=0):
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await asyncio.sleep(delay)
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async with aiohttp.ClientSession() as session:
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async with session.post(url, json=data) as resp:
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output = await resp.json()
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return output
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async def test_concurrent(args):
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url = f"{args.host}:{args.port}"
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response = []
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for i in range(8):
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response.append(
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send_request(
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url + "/generate",
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{
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"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:",
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"image_data": "/home/ubuntu/sglang/test/lang/image.png",
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": 16,
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},
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},
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)
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)
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rets = await asyncio.gather(*response)
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for ret in rets:
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print(ret["text"])
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def test_streaming(args):
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url = f"{args.host}:{args.port}"
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response = requests.post(
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url + "/generate",
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json={
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"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:",
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"image_data": "/home/ubuntu/sglang/test/lang/image.png",
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": 128,
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},
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"stream": True,
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},
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stream=True,
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)
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prev = 0
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for chunk in response.iter_lines(decode_unicode=False, delimiter=b"\0"):
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if chunk:
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data = json.loads(chunk.decode())
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output = data["text"].strip()
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print(output[prev:], end="", flush=True)
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prev = len(output)
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print("")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("--host", type=str, default="http://127.0.0.1")
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parser.add_argument("--port", type=int, default=30000)
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args = parser.parse_args()
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asyncio.run(test_concurrent(args))
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test_streaming(args)
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