Gradio Webserver
Source vllm-project/vllm.
1import argparse2import json34import gradio as gr5import requests678def http_bot(prompt):9 headers = {"User-Agent": "vLLM Client"}10 pload = {11 "prompt": prompt,12 "stream": True,13 "max_tokens": 128,14 }15 response = requests.post(args.model_url,16 headers=headers,17 json=pload,18 stream=True)1920 for chunk in response.iter_lines(chunk_size=8192,21 decode_unicode=False,22 delimiter=b"\0"):23 if chunk:24 data = json.loads(chunk.decode("utf-8"))25 output = data["text"][0]26 yield output272829def build_demo():30 with gr.Blocks() as demo:31 gr.Markdown("# vLLM text completion demo\n")32 inputbox = gr.Textbox(label="Input",33 placeholder="Enter text and press ENTER")34 outputbox = gr.Textbox(label="Output",35 placeholder="Generated result from the model")36 inputbox.submit(http_bot, [inputbox], [outputbox])37 return demo383940if __name__ == "__main__":41 parser = argparse.ArgumentParser()42 parser.add_argument("--host", type=str, default=None)43 parser.add_argument("--port", type=int, default=8001)44 parser.add_argument("--model-url",45 type=str,46 default="http://localhost:8000/generate")47 args = parser.parse_args()4849 demo = build_demo()50 demo.queue().launch(server_name=args.host,51 server_port=args.port,52 share=True)