ezrknn-llm/rkllm-runtime/examples/rkllm_server_demo/README.md

RKLLM-Server Demo

Before Run

Before running the demo, you need to prepare the following files:

• The transformed RKLLM model file in board.
• check the IP address of the board with 'ifconfig' command.

RKLLM-Server-Flask Demo

Build

You can run the demo with the only command:

# Usage: ./build_rkllm_server_flask.sh --workshop [RKLLM-Server Working Path] --model_path [Absolute Path of Converted RKLLM Model on Board] --platform [Target Platform: rk3588/rk3576] [--lora_model_path [Lora Model Path]] [--prompt_cache_path [Prompt Cache File Path]]
./build_rkllm_server_flask.sh --workshop /user/data --model_path /user/data/model.rkllm --platform rk3588

Access with API

After building the RKLLM-Server-Flask, You can use ‘chat_api_flask.py’ to access the RKLLM-Server-Flask and get the answser of RKLLM models.

Attention: you should check the IP address of the board with 'ifconfig' command and replace the IP address in the ‘chat_api_flask.py’.

RKLLM-Server-Gradio Demo

Build

You can run the demo with the only command:

# Usage: ./build_rkllm_server_gradio.sh --workshop [RKLLM-Server Working Path] --model_path [Absolute Path of Converted RKLLM Model on Board] --platform [Target Platform: rk3588/rk3576] [--lora_model_path [Lora Model Path]] [--prompt_cache_path [Prompt Cache File Path]]
./build_rkllm_server_gradio.sh --workshop /user/data --model_path /user/data/model.rkllm --platform rk3588

Access the Server

After running the demo, You can access the RKLLM-Server-Gradio with two ways:

1. Just Start your browser and access the URL: ‘http://[board_ip]:8080/’. You can chat with the RKLLM models in visual interface.
2. Use the 'chat_api_gradio.py'(you need fix the IP address in the code previously) and get the answser of RKLLM models.