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import argparse | |
import json | |
import requests | |
from videollava.conversation import default_conversation | |
def main(): | |
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": args.model_name}) | |
worker_addr = ret.json()["address"] | |
print(f"worker_addr: {worker_addr}") | |
if worker_addr == "": | |
return | |
conv = default_conversation.copy() | |
conv.append_message(conv.roles[0], args.message) | |
prompt = conv.get_prompt() | |
headers = {"User-Agent": "LLaVA Client"} | |
pload = { | |
"model": args.model_name, | |
"prompt": prompt, | |
"max_new_tokens": args.max_new_tokens, | |
"temperature": 0.7, | |
"stop": conv.sep, | |
} | |
response = requests.post(worker_addr + "/worker_generate_stream", headers=headers, | |
json=pload, stream=True) | |
print(prompt.replace(conv.sep, "\n"), end="") | |
for chunk in response.iter_lines(chunk_size=8192, decode_unicode=False, delimiter=b"\0"): | |
if chunk: | |
data = json.loads(chunk.decode("utf-8")) | |
output = data["text"].split(conv.sep)[-1] | |
print(output, end="\r") | |
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, default="facebook/opt-350m") | |
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() | |