app.py

import sys
import os
import argparse
import time
import subprocess
import spaces
import gradio_web_server as gws

# Execute the pip install command with additional options
# subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'flash-attn', '--no-build-isolation', '-U'])


def start_controller():
    print("Starting the controller")
    controller_command = [
        sys.executable,
        "-m",
        "llava.serve.controller",
        "--host",
        "0.0.0.0",
        "--port",
        "10000",
    ]
    print(controller_command)
    return subprocess.Popen(controller_command)

@spaces.GPU
def start_worker(model_path: str, model_name: str, bits=16, device=0):
    print(f"Starting the model worker for the model {model_path}")
    # model_name = model_path.strip("/").split("/")[-1]
    device = f"cuda:{device}" if isinstance(device, int) else device
    assert bits in [4, 8, 16], "It can be only loaded with 16-bit, 8-bit, and 4-bit."
    if bits != 16:
        model_name += f"-{bits}bit"
    worker_command = [
        sys.executable,
        "-m",
        "llava.serve.model_worker",
        "--host",
        "0.0.0.0",
        "--controller",
        "http://localhost:10000",
        "--model-path",
        model_path,
        "--model-name",
        model_name,
        "--use-flash-attn",
        '--device',
        device
    ]
    if bits != 16:
        worker_command += [f"--load-{bits}bit"]
    print(worker_command)
    return subprocess.Popen(worker_command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)


if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument("--host", type=str, default="0.0.0.0")
    parser.add_argument("--port", type=int)
    parser.add_argument("--controller-url", type=str, default="http://localhost:10000")
    parser.add_argument("--concurrency-count", type=int, default=5)
    parser.add_argument("--model-list-mode", type=str, default="reload", choices=["once", "reload"])
    parser.add_argument("--share", action="store_true")
    parser.add_argument("--moderate", action="store_true")
    parser.add_argument("--embed", action="store_true")
    gws.args = parser.parse_args()
    gws.models = []

    gws.title_markdown += """

ONLY WORKS WITH GPU!

Set the environment variable `model` to change the model:
['AIML-TUDA/LlavaGuard-7B'](https://huggingface.co/AIML-TUDA/LlavaGuard-7B),
['AIML-TUDA/LlavaGuard-13B'](https://huggingface.co/AIML-TUDA/LlavaGuard-13B),
['AIML-TUDA/LlavaGuard-34B'](https://huggingface.co/AIML-TUDA/LlavaGuard-34B),
"""
    # set_up_env_and_token(read=True)
    print(f"args: {gws.args}")
    # set the huggingface login token
    controller_proc = start_controller()
    concurrency_count = int(os.getenv("concurrency_count", 5))
    api_key = os.getenv("token")
    if api_key:
        cmd = f"huggingface-cli login --token {api_key} --add-to-git-credential"
        os.system(cmd)
    else:
        if '/workspace' not in sys.path:
            sys.path.append('/workspace')
        from llavaguard.hf_utils import set_up_env_and_token
        set_up_env_and_token(read=True, write=False)

    models = [
        'LukasHug/LlavaGuard-7B-hf',
        'LukasHug/LlavaGuard-13B-hf',
        'LukasHug/LlavaGuard-34B-hf',]
    bits = int(os.getenv("bits", 16))
    model = os.getenv("model", models[0])
    available_devices = os.getenv("CUDA_VISIBLE_DEVICES", "0")
    model_path, model_name = model, model.split("/")[1]

    worker_proc = start_worker(model_path, model_name, bits=bits)


    # Wait for worker and controller to start
    time.sleep(50)

    exit_status = 0
    try:
        demo = gws.build_demo(embed_mode=False, cur_dir='./', concurrency_count=concurrency_count)
        demo.queue(
            status_update_rate=10,
            api_open=False
        ).launch(
            server_name=gws.args.host,
            server_port=gws.args.port,
            share=gws.args.share
        )

    except Exception as e:
        print(e)
        exit_status = 1
    finally:
        worker_proc.kill()
        controller_proc.kill()

        sys.exit(exit_status)