cache decorator is a tool for caching results of resource-intensive calculations or loading processes. It can be conveniently combined with the file watcher to prevent resource reloading each time the application restarts. This not only saves time, but also enhances overall efficiency.
The target function whose results need to be cached.
The computed value that is stored in the cache after its initial calculation.
import time import chainlit as cl @cl.cache def to_cache(): time.sleep(5) # Simulate a time-consuming process return "Hello!" value = to_cache() @cl.on_message async def main(message: cl.Message): await cl.Message( content=value, ).send()
In this example, the
to_cache function simulates a time-consuming process that returns a value. By using the
cl.cache decorator, the result of the function is cached after its first execution. Future calls to the
to_cache function return the cached value without running the time-consuming process again.