vllm/examples/online_serving/gradio_webserver.py

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# SPDX-License-Identifier: Apache-2.0
"""Example for starting a Gradio Webserver
Start vLLM API server:
python -m vllm.entrypoints.api_server \
--model meta-llama/Llama-2-7b-chat-hf
Start Webserver:
python examples/online_serving/gradio_webserver.py
Note that `pip install --upgrade gradio` is needed to run this example.
More details: https://github.com/gradio-app/gradio
If your antivirus software blocks the download of frpc for gradio,
you can install it manually by following these steps:
1. Download this file: https://cdn-media.huggingface.co/frpc-gradio-0.3/frpc_linux_amd64
2. Rename the downloaded file to: frpc_linux_amd64_v0.3
3. Move the file to this location: /home/user/.cache/huggingface/gradio/frpc
"""
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import argparse
import json
import gradio as gr
import requests
def http_bot(prompt):
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headers = {"User-Agent": "vLLM Client"}
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pload = {
"prompt": prompt,
"stream": True,
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"max_tokens": 128,
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}
response = requests.post(args.model_url,
headers=headers,
json=pload,
stream=True)
for chunk in response.iter_lines(chunk_size=8192,
decode_unicode=False,
delimiter=b"\n"):
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if chunk:
data = json.loads(chunk.decode("utf-8"))
output = data["text"][0]
yield output
def build_demo():
with gr.Blocks() as demo:
gr.Markdown("# vLLM text completion demo\n")
inputbox = gr.Textbox(label="Input",
placeholder="Enter text and press ENTER")
outputbox = gr.Textbox(label="Output",
placeholder="Generated result from the model")
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inputbox.submit(http_bot, [inputbox], [outputbox])
return demo
def parse_args():
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parser = argparse.ArgumentParser()
parser.add_argument("--host", type=str, default=None)
parser.add_argument("--port", type=int, default=8001)
parser.add_argument("--model-url",
type=str,
default="http://localhost:8000/generate")
return parser.parse_args()
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def main(args):
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demo = build_demo()
demo.queue().launch(server_name=args.host,
server_port=args.port,
share=True)
if __name__ == "__main__":
args = parse_args()
main(args)