calahealthgpt / fastchat /serve /test_message.py
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"""Send a test message."""
import argparse
import json
import requests
from fastchat.model.model_adapter import get_conversation_template
def main():
model_name = args.model_name
if args.worker_address:
worker_addr = args.worker_address
else:
controller_addr = args.controller_address
ret = requests.post(controller_addr + "/refresh_all_workers")
ret = requests.post(controller_addr + "/list_models")
models = ret.json()["models"]
models.sort()
print(f"Models: {models}")
ret = requests.post(
controller_addr + "/get_worker_address", json={"model": model_name}
)
worker_addr = ret.json()["address"]
print(f"worker_addr: {worker_addr}")
if worker_addr == "":
print(f"No available workers for {model_name}")
return
conv = get_conversation_template(model_name)
conv.append_message(conv.roles[0], args.message)
conv.append_message(conv.roles[1], None)
prompt = conv.get_prompt()
headers = {"User-Agent": "FastChat Client"}
gen_params = {
"model": model_name,
"prompt": prompt,
"temperature": args.temperature,
"max_new_tokens": args.max_new_tokens,
"stop": conv.stop_str,
"stop_token_ids": conv.stop_token_ids,
"echo": False,
}
response = requests.post(
worker_addr + "/worker_generate_stream",
headers=headers,
json=gen_params,
stream=True,
)
print(f"{conv.roles[0]}: {args.message}")
print(f"{conv.roles[1]}: ", end="")
prev = 0
for chunk in response.iter_lines(decode_unicode=False, delimiter=b"\0"):
if chunk:
data = json.loads(chunk.decode())
output = data["text"].strip()
print(output[prev:], end="", flush=True)
prev = len(output)
print("")
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--controller-address", type=str, default="http://localhost:21001"
)
parser.add_argument("--worker-address", type=str)
parser.add_argument("--model-name", type=str, required=True)
parser.add_argument("--temperature", type=float, default=0.0)
parser.add_argument("--max-new-tokens", type=int, default=32)
parser.add_argument(
"--message", type=str, default="Tell me a story with more than 1000 words."
)
args = parser.parse_args()
main()