| # Copyright (c) ModelScope Contributors. All rights reserved. | |
| import os | |
| from openai import OpenAI | |
| os.environ['CUDA_VISIBLE_DEVICES'] = '0' | |
| def infer(client, model: str, messages): | |
| resp = client.chat.completions.create(model=model, messages=messages) | |
| classify = resp.choices[0].message.content | |
| print(f'messages: {messages}') | |
| print(f'classify: {classify}') | |
| return classify | |
| 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': 'What is the capital of China?', | |
| }, { | |
| 'role': 'assistant', | |
| 'content': 'Beijing', | |
| }] | |
| infer(client, model, messages) | |
| if __name__ == '__main__': | |
| from swift import DeployArguments, run_deploy | |
| with run_deploy( | |
| DeployArguments( | |
| model='/your/seq_cls/checkpoint-xxx', | |
| task_type='seq_cls', | |
| infer_backend='vllm', | |
| num_labels=2, | |
| verbose=False, | |
| log_interval=-1)) as port: | |
| run_client(port=port) | |