Migrate docs from Sphinx to MkDocs (#18145)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

docs/deployment/frameworks/streamlit.md

@@ -0,0 +1,42 @@
+---
+title: Streamlit
+---
+[](){ #deployment-streamlit }
+
+[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.
+
+It can be quickly integrated with vLLM as a backend API server, enabling powerful LLM inference via API calls.
+
+## Prerequisites
+
+- Setup vLLM environment
+
+## Deploy
+
+- Start the vLLM server with the supported chat completion model, e.g.
+
+```console
+vllm serve qwen/Qwen1.5-0.5B-Chat
+```
+
+- Install streamlit and openai:
+
+```console
+pip install streamlit openai
+```
+
+- Use the script: <gh-file:examples/online_serving/streamlit_openai_chatbot_webserver.py>
+
+- Start the streamlit web UI and start to chat:
+
+```console
+streamlit run streamlit_openai_chatbot_webserver.py
+
+# or specify the VLLM_API_BASE or VLLM_API_KEY
+VLLM_API_BASE="http://vllm-server-host:vllm-server-port/v1" streamlit run streamlit_openai_chatbot_webserver.py
+
+# start with debug mode to view more details
+streamlit run streamlit_openai_chatbot_webserver.py --logger.level=debug
+```
+
+![](../../assets/deployment/streamlit-chat.png)