Fix: Correct typos in README

README.md

@@ -316,7 +316,7 @@ with UnstructuredClient() as uc_client:
 
 </br>
 
-The same SDK client can also be used to make asychronous requests by importing asyncio.
+The same SDK client can also be used to make asynchronous requests by importing asyncio.
 ```python
 # Asynchronous Example
 import asyncio
@@ -351,7 +351,7 @@ See [page splitting](https://docs.unstructured.io/api-reference/api-services/sdk
 In order to speed up processing of large PDF files, the client splits up PDFs into smaller files, sends these to the API concurrently, and recombines the results. `split_pdf_page` can be set to `False` to disable this.
 
 The amount of workers utilized for splitting PDFs is dictated by the `split_pdf_concurrency_level` parameter, with a default of 5 and a maximum of 15 to keep resource usage and costs in check. The splitting process leverages `asyncio` to manage concurrency effectively.
-The size of each batch of pages (ranging from 2 to 20) is internally determined based on the concurrency level and the total number of pages in the document. Because the splitting process uses `asyncio` the client can encouter event loop issues if it is nested in another async runner, like running in a `gevent` spawned task. Instead, this is safe to run in multiprocessing workers (e.g., using `multiprocessing.Pool` with `fork` context).
+The size of each batch of pages (ranging from 2 to 20) is internally determined based on the concurrency level and the total number of pages in the document. Because the splitting process uses `asyncio` the client can encounter event loop issues if it is nested in another async runner, like running in a `gevent` spawned task. Instead, this is safe to run in multiprocessing workers (e.g., using `multiprocessing.Pool` with `fork` context).
 
 Example:
 ```python