llama-stack-mirror/docs/source/inference-streaming.py
2024-10-31 15:45:47 -07:00

36 lines
940 B
Python

import asyncio
from llama_stack_client import LlamaStackClient
from llama_stack_client.lib.inference.event_logger import EventLogger
from llama_stack_client.types import UserMessage
from termcolor import cprint
async def run_main(stream: bool = True):
client = LlamaStackClient(
base_url=f"http://localhost:5000",
)
message = UserMessage(
content="hello world, write me a 2 sentence poem about the moon", role="user"
)
print(f"User>{message.content}", "green")
response = client.inference.chat_completion(
messages=[message],
model="Llama3.2-11B-Vision-Instruct",
stream=stream,
)
if not stream:
cprint(f"> Response: {response}", "cyan")
else:
async for log in EventLogger().log(response):
log.print()
models_response = client.models.list()
print(models_response)
if __name__ == "__main__":
asyncio.run(run_main())