Updated README.md.

Signed-off-by: Pavel Kirilin <[email protected]>

Author: s3rius

README.md

@@ -7,10 +7,16 @@
 <hr/>
 </div>
 
+Documentation: https://taskiq-python.github.io/
+
+## What is taskiq?
+
 Taskiq is an asynchronous distributed task queue for python.
 This project takes inspiration from big projects such as [Celery](https://docs.celeryq.dev) and [Dramatiq](https://dramatiq.io/).
-But taskiq can send and run both the sync and async functions.
-Also, we use [PEP-612](https://peps.python.org/pep-0612/) to provide the best autosuggestions possible. But since it's a new PEP, I encourage you to use taskiq with VS code because Pylance understands all types correctly.
+But taskiq can send and run both the sync and async functions, has
+integration with popular async frameworks, such as [FastAPI](https://fastapi.tiangolo.com/) and [AioHTTP](https://docs.aiohttp.org/en/stable/).
+
+Also, we use [PEP-612](https://peps.python.org/pep-0612/) to provide the best autosuggestions possible. All code is type-hinted.
 
 # Installation
 
@@ -25,8 +31,69 @@ Or it can be installed directly from git:
 pip install git+https://github.com/taskiq-python/taskiq
 ```
 
-You can read more about how to use it in our docs: https://taskiq-python.github.io/.
+# Usage
+
+At first you need to create a broker. Broker is an object that can communicate to workers using distributed queues.
+
+We have differet brokers for different queue backends. For example, we have a broker for [NATS](https://github.com/taskiq-python/taskiq-nats), [Redis](https://github.com/taskiq-python/taskiq-redis), [RabbitMQ](https://github.com/taskiq-python/taskiq-aio-pika), [Kafka](https://github.com/taskiq-python/taskiq-aio-kafka) and even more. Choose the one that fits you and create an instance.
+
+```python
+from taskiq_nats import JetStreamBroker
+
+broker = JetStreamBroker("nats://localhost:4222", queue="my_queue")
+```
+
+Declaring tasks is as easy as declaring a function. Just add a decorator to your function and you are ready to go.
+
+```python
+import asyncio
+
+from taskiq_nats import JetStreamBroker
+
+broker = JetStreamBroker("nats://localhost:4222", queue="my_queue2")
+
+
+@broker.task
+async def my_task(a: int, b: int) -> None:
+    print("AB", a + b)
+
+
+async def main():
+    await broker.startup()
+
+    await my_task.kiq(1, 2)
+
+    await broker.shutdown()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
+
+
+```
+
+The message is going to be sent to the broker and then to the worker. The worker will execute the function. To start worker processes, just run the following command:
+
+```bash
+taskiq worker path.to.the.module:broker
+```
+
+Where `path.to.the.module` is the path to the module where the broker is defined and `broker` is the name of the broker variable.
+
+If you have tasks in different modules, you can ask taskiq to automatically import them by passing the `--fs-discover` flag:
+
+```bash
+taskiq worker path.to.the.module:broker --fs-discover
+```
+
+It will import all modules called `tasks.py` in the current directory and all subdirectories.
+
+Also, we support hot reload for workers. To enable it, just pass the `--reload` flag. It will reload the worker when the code changes (To use it, install taskiq with reload extra. E.g `pip install taskiq[reload]`).
+
+
+Also, we have cool integrations with popular async frameworks. For example, we have an integration with [FastAPI](https://taskiq-python.github.io/framework_integrations/taskiq-with-fastapi.html) or [AioHTTP](https://taskiq-python.github.io/framework_integrations/taskiq-with-aiohttp.html). You can use it to reuse dependencies from your web app in your tasks.
 
+Read about all features in our documentation: https://taskiq-python.github.io/
 
 # Local development