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| -rw-r--r-- | examples/server/README.md | 26 |
1 files changed, 25 insertions, 1 deletions
diff --git a/examples/server/README.md b/examples/server/README.md index 160614b..037412d 100644 --- a/examples/server/README.md +++ b/examples/server/README.md @@ -21,7 +21,7 @@ Command line options: - `-to N`, `--timeout N`: Server read/write timeout in seconds. Default `600`. - `--host`: Set the hostname or ip address to listen. Default `127.0.0.1`. - `--port`: Set the port to listen. Default: `8080`. -- `--public`: path from which to serve static files (default examples/server/public) +- `--path`: path from which to serve static files (default examples/server/public) - `--embedding`: Enable embedding extraction, Default: disabled. ## Build @@ -207,3 +207,27 @@ openai.api_base = "http://<Your api-server IP>:port" ``` Then you can utilize llama.cpp as an OpenAI's **chat.completion** or **text_completion** API + +### Extending the Web Front End + +The default location for the static files is `examples/server/public`. You can extend the front end by running the server binary with `--path` set to `./your-directory` and importing `/completion.js` to get access to the llamaComplete() method. A simple example is below: + +``` +<html> + <body> + <pre> + <script type="module"> + import { llamaComplete } from '/completion.js' + + llamaComplete({ + prompt: "### Instruction:\nWrite dad jokes, each one paragraph. You can use html formatting if needed.\n\n### Response:", + n_predict: 1024, + }, + null, + (chunk) => document.write(chunk.data.content) + ) + </script> + </pre> + </body> +</html> +``` |