from llama_cpp.server.app import create_app, Settings
from fastapi.responses import HTMLResponse
import os

app = create_app(
    Settings(
        n_threads=2,  # set to number of cpu cores
        model="model/gguf-model.bin",
        embedding=True,
        chat_format="functionary"
    )
)

# Read the content of index.html once and store it in memory
with open("index.html", "r") as f:
    content = f.read()


@app.get("/", response_class=HTMLResponse)
async def read_items():
    return content

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app,
                host=os.environ["HOST"],
                port=int(os.environ["PORT"])
                )