Upload ms-swift/examples/deploy/client/llm/chat/openai_client.py with huggingface_hub

ms-swift/examples/deploy/client/llm/chat/openai_client.py

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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):
+    resp = client.chat.completions.create(model=model, messages=messages, max_tokens=512, temperature=0)
+    query = messages[0]['content']
+    response = resp.choices[0].message.content
+    print(f'query: {query}')
+    print(f'response: {response}')
+    return response
+
+
+# streaming
+def infer_stream(client, model: str, messages):
+    gen = client.chat.completions.create(model=model, messages=messages, stream=True, temperature=0)
+    print(f'messages: {messages}\nresponse: ', end='')
+    for chunk in gen:
+        print(chunk.choices[0].delta.content, end='', flush=True)
+    print()
+
+
+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}')
+
+    query = 'Where is the capital of Zhejiang?'
+    messages = [{'role': 'user', 'content': query}]
+    response = infer(client, model, messages)
+    messages.append({'role': 'assistant', 'content': response})
+    messages.append({'role': 'user', 'content': 'What delicious food is there?'})
+    infer_stream(client, model, messages)
+
+
+if __name__ == '__main__':
+    from swift.llm import run_deploy, DeployArguments
+    with run_deploy(DeployArguments(model='Qwen/Qwen2.5-1.5B-Instruct', verbose=False, log_interval=-1)) as port:
+        run_client(port=port)