Generate Text in Streaming#

Source NVIDIA/TensorRT-LLM.

 1### Generate Text in Streaming
 2import asyncio
 3
 4from tensorrt_llm import SamplingParams
 5from tensorrt_llm._tensorrt_engine import LLM
 6
 7
 8def main():
 9
10    # model could accept HF model name or a path to local HF model.
11    llm = LLM(model="TinyLlama/TinyLlama-1.1B-Chat-v1.0")
12
13    # Sample prompts.
14    prompts = [
15        "Hello, my name is",
16        "The president of the United States is",
17        "The capital of France is",
18        "The future of AI is",
19    ]
20
21    # Create a sampling params.
22    sampling_params = SamplingParams(temperature=0.8, top_p=0.95)
23
24    # Async based on Python coroutines
25    async def task(id: int, prompt: str):
26
27        # streaming=True is used to enable streaming generation.
28        async for output in llm.generate_async(prompt,
29                                               sampling_params,
30                                               streaming=True):
31            print(f"Generation for prompt-{id}: {output.outputs[0].text!r}")
32
33    async def main():
34        tasks = [task(id, prompt) for id, prompt in enumerate(prompts)]
35        await asyncio.gather(*tasks)
36
37    asyncio.run(main())
38
39    # Got output like follows:
40    # Generation for prompt-0: '\n'
41    # Generation for prompt-3: 'an'
42    # Generation for prompt-2: 'Paris'
43    # Generation for prompt-1: 'likely'
44    # Generation for prompt-0: '\n\n'
45    # Generation for prompt-3: 'an exc'
46    # Generation for prompt-2: 'Paris.'
47    # Generation for prompt-1: 'likely to'
48    # Generation for prompt-0: '\n\nJ'
49    # Generation for prompt-3: 'an exciting'
50    # Generation for prompt-2: 'Paris.'
51    # Generation for prompt-1: 'likely to nomin'
52    # Generation for prompt-0: '\n\nJane'
53    # Generation for prompt-3: 'an exciting time'
54    # Generation for prompt-1: 'likely to nominate'
55    # Generation for prompt-0: '\n\nJane Smith'
56    # Generation for prompt-3: 'an exciting time for'
57    # Generation for prompt-1: 'likely to nominate a'
58    # Generation for prompt-0: '\n\nJane Smith.'
59    # Generation for prompt-3: 'an exciting time for us'
60    # Generation for prompt-1: 'likely to nominate a new'
61
62
63if __name__ == '__main__':
64    main()