Upload ms-swift/examples/deploy/client/llm/base/swift_client.py with huggingface_hub

ms-swift/examples/deploy/client/llm/base/swift_client.py

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+# Copyright (c) Alibaba, Inc. and its affiliates.
+import os
+from typing import List
+
+os.environ['CUDA_VISIBLE_DEVICES'] = '0'
+
+
+def infer_batch(engine: 'InferEngine', infer_requests: List['InferRequest']):
+    request_config = RequestConfig(max_tokens=64, temperature=0)
+
+    resp_list = engine.infer(infer_requests, request_config)
+
+    query0 = infer_requests[0].messages[0]['content']
+    print(f'query0: {query0}')
+    print(f'response0: {resp_list[0].choices[0].message.content}')
+
+
+def run_client(host: str = '127.0.0.1', port: int = 8000):
+    engine = InferClient(host=host, port=port)
+    print(f'models: {engine.models}')
+
+    infer_requests = [InferRequest(messages=[{'role': 'user', 'content': '浙江 -> 杭州\n安徽 -> 合肥\n四川 ->'}])]
+    infer_batch(engine, infer_requests)
+
+
+if __name__ == '__main__':
+    from swift.llm import InferEngine, InferRequest, InferClient, RequestConfig, 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)