(3.0.0) cleaned up uv dependencies for pep 735, made a backwards incompatible change in the FloweryApiConfig model, and set up ruff formatting

docs/getting-started/usage.md

@@ -8,7 +8,7 @@ To create an API client, you need to first import the `pyflowery.pyflowery.Flowe
 
 ```python
 from pyflowery import FloweryAPI, FloweryAPIConfig
-config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@gmail.com")
+config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@foobar.com")
 api = FloweryAPI(config)
 ```
 
@@ -21,7 +21,7 @@ So, whenever a `FloweryAPI` class is instantiated, it will automatically fetch a
 ```python
 # Set up the API client
 from pyflowery import FloweryAPI, FloweryAPIConfig
-config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@gmail.com")
+config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@foobar.com")
 api = FloweryAPI(config) # This will fetch all of the voices from the API and cache them automatically, you don't need to do that manually
 
 voices = api.get_voices(name="Alexander")
@@ -36,7 +36,7 @@ In most use cases, it is not necessary to manually update the voice cache. But,
 ```python
 import asyncio # This is required to run asynchronous code outside of async functions
 from pyflowery import FloweryAPI, FloweryAPIConfig
-config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@gmail.com")
+config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@foobar.com")
 api = FloweryAPI(config) # This will fetch all of the voices from the API and cache them automatically, you don't need to do that manually
 
 asyncio.run(api._populate_voices_cache()) # This will update the voice cache. This is what `FloweryAPI` calls automatically when it is instantiated
@@ -46,13 +46,15 @@ asyncio.run(api._populate_voices_cache()) # This will update the voice cache. Th
 
 If necessary, you can call the `fetch_voices()` or `fetch_voice()` methods. These methods will fetch the voices from the API directly, skipping the cache. This isn't recommended, though, as it puts more strain on the Flowery API.  
 
+<!-- markdownlint-disable code-block-style -->
+
 === "`fetch_voices()`"
     `fetch_voices()` returns an `AsyncContextManager`, so you need to iterate through it when you call it.
 
     ```python
     import asyncio
     from pyflowery import FloweryAPI, FloweryAPIConfig
-    config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@gmail.com")
+    config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@foobar.com")
     api = FloweryAPI(config)
 
     async def fetch_voices():
@@ -69,7 +71,7 @@ If necessary, you can call the `fetch_voices()` or `fetch_voice()` methods. Thes
     ```python
     import asyncio
     from pyflowery import FloweryAPI, FloweryAPIConfig
-    config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@gmail.com")
+    config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@foobar.com")
     api = FloweryAPI(config)
 
     voice_id = "38f45366-68e8-5d39-b1ef-3fd4eeb61cdb"
@@ -78,6 +80,8 @@ If necessary, you can call the `fetch_voices()` or `fetch_voice()` methods. Thes
     print(voice) # Voice(id='38f45366-68e8-5d39-b1ef-3fd4eeb61cdb', name='Jacob', gender='Male', source='Microsoft Azure', language=Language(name='English (United States)', code='en-US'))
     ```
 
+<!-- markdownlint-enable code-block-style -->
+
 ## Converting text to audio
 
 Finally, let's convert some text into audio. To do this, you can call the `fetch_tts()` method. This will return the bytes of the audio file.
@@ -85,7 +89,7 @@ Finally, let's convert some text into audio. To do this, you can call the `fetch
 ```python
 import asyncio
 from pyflowery import FloweryAPI, FloweryAPIConfig
-config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@gmail.com")
+config = FloweryAPIConfig(user_agent="PyFlowery Documentation Example/example@foobar.com")
 api = FloweryAPI(config)
 
 voice = api.get_voices(name="Alexander")[0]