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Signed-off-by: reidliu41 <reid201711@gmail.com> Co-authored-by: reidliu41 <reid201711@gmail.com>
44 lines
1.1 KiB
Markdown
44 lines
1.1 KiB
Markdown
---
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title: Streamlit
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---
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[](){ #deployment-streamlit }
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[Streamlit](https://github.com/streamlit/streamlit) lets you transform Python scripts into interactive web apps in minutes, instead of weeks. Build dashboards, generate reports, or create chat apps.
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It can be quickly integrated with vLLM as a backend API server, enabling powerful LLM inference via API calls.
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## Prerequisites
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- Setup vLLM environment
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## Deploy
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- Start the vLLM server with the supported chat completion model, e.g.
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```console
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vllm serve qwen/Qwen1.5-0.5B-Chat
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```
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- Install streamlit and openai:
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```console
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pip install streamlit openai
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```
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- Use the script: <gh-file:examples/online_serving/streamlit_openai_chatbot_webserver.py>
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- Start the streamlit web UI and start to chat:
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```console
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streamlit run streamlit_openai_chatbot_webserver.py
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# or specify the VLLM_API_BASE or VLLM_API_KEY
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VLLM_API_BASE="http://vllm-server-host:vllm-server-port/v1" \
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streamlit run streamlit_openai_chatbot_webserver.py
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# start with debug mode to view more details
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streamlit run streamlit_openai_chatbot_webserver.py --logger.level=debug
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```
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