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# Copyright (c) Alibaba, Inc. and its affiliates.
import os
from openai import OpenAI
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
def infer(client, model: str, messages):
query = messages[0]['content']
print(f'query: {query}')
resp = client.completions.create(model=model, prompt=query, max_tokens=64, temperature=0)
response = resp.choices[0].text
print(f'response: {response}')
# or (The two calling methods are equivalent.)
resp = client.chat.completions.create(model=model, messages=messages, max_tokens=64, temperature=0)
response = resp.choices[0].message.content
print(f'response: {response}')
return response
def run_client(host: str = '127.0.0.1', port: int = 8000):
client = OpenAI(
api_key='EMPTY',
base_url=f'http://{host}:{port}/v1',
)
model = client.models.list().data[0].id
print(f'model: {model}')
messages = [{'role': 'user', 'content': '浙江 -> 杭州\n安徽 -> 合肥\n四川 ->'}]
infer(client, model, messages)
if __name__ == '__main__':
from swift.llm import run_deploy, DeployArguments
# NOTE: In a real deployment scenario, please comment out the context of run_deploy.
with run_deploy(
DeployArguments(
model='Qwen/Qwen2.5-1.5B', verbose=False, log_interval=-1, infer_backend='pt',
use_chat_template=False)) as port:
run_client(port=port)
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