diff --git a/examples/elevenlabs-example.py b/examples/elevenlabs-example.py
index 78c96f8..7de95ea 100644
--- a/examples/elevenlabs-example.py
+++ b/examples/elevenlabs-example.py
@@ -1,25 +1,28 @@
 from manim import *
 
 from manim_voiceover import VoiceoverScene
-from manim_voiceover.services.eleven_labs import ElevenlabsService
+from manim_voiceover.services.elevenlabs import ElevenLabsService
 
 
 class ElevenlabsExample(VoiceoverScene):
     def construct(self):
-        # set speech service using defaults, without voice_name or voice_id
-        # if none of voice_name or voice_id is passed, it defaults to the
+        # Set speech service using defaults, without voice_name or voice_id
+        # If none of voice_name or voice_id is passed, it defaults to the
         # first voice in the list returned by `voices()`
+        #
         # self.set_speech_service(ElevenlabsService())
-
-        # set speech service using voice_name
+        #
+        # Set speech service using voice_name
+        #
         # self.set_speech_service(ElevenlabsService(voice_name="Adam"))
-
-        # set speech service using voice_id
+        #
+        # Set speech service using voice_id
+        #
         # self.set_speech_service(ElevenlabsService(voice_id="29vD33N1CtxCmqQRPOHJ"))
 
         # customise voice by passing voice_settings
         self.set_speech_service(
-            ElevenlabsService(
+            ElevenLabsService(
                 voice_name="Adam",
                 voice_settings={"stability": 0.001, "similarity_boost": 0.25},
             )
@@ -36,11 +39,6 @@ def construct(self):
         with self.voiceover(text="Now, let's transform it into a square.") as tracker:
             self.play(Transform(circle, square), run_time=tracker.duration)
 
-        with self.voiceover(
-            text="This is a very very very very very very very very very very very very very very very very very long sentence."
-        ):
-            pass
-
         with self.voiceover(text="Thank you for watching."):
             self.play(Uncreate(circle))
 
diff --git a/manim_voiceover/services/eleven_labs.py b/manim_voiceover/services/elevenlabs.py
similarity index 76%
rename from manim_voiceover/services/eleven_labs.py
rename to manim_voiceover/services/elevenlabs.py
index 1014569..48c91f9 100644
--- a/manim_voiceover/services/eleven_labs.py
+++ b/manim_voiceover/services/elevenlabs.py
@@ -12,7 +12,8 @@
     import elevenlabs
 except ImportError:
     logger.error(
-        'Missing packages. Run `pip install "manim-voiceover[elevenlabs]"` to use Elevenlabs API.'
+        'Missing packages. Run `pip install "manim-voiceover[elevenlabs]"` '
+        "to use Elevenlabs API."
     )
 
 from elevenlabs import Voice, VoiceSettings, generate, save, voices
@@ -25,14 +26,16 @@
 
 def create_dotenv_elevenlabs():
     logger.info(
-        "Check out https://voiceover.manim.community/en/stable/services.html#elevenlabs to learn how to create an account and get your subscription key."
+        "Check out https://voiceover.manim.community/en/stable/services.html#elevenlabs"
+        " to learn how to create an account and get your subscription key."
     )
     try:
         os.environ["ELEVEN_API_KEY"]
     except KeyError:
         if not create_dotenv_file(["ELEVEN_API_KEY"]):
             raise Exception(
-                "The environment variables ELEVEN_API_KEY are not set. Please set them or create a .env file with the variables."
+                "The environment variables ELEVEN_API_KEY are not set. "
+                "Please set them or create a .env file with the variables."
             )
         logger.info("The .env file has been created. Please run Manim again.")
         sys.exit()
@@ -41,7 +44,7 @@ def create_dotenv_elevenlabs():
 create_dotenv_elevenlabs()
 
 
-class ElevenlabsService(SpeechService):
+class ElevenLabsService(SpeechService):
     """Speech service for Elevenlabs API."""
 
     def __init__(
@@ -54,10 +57,29 @@ def __init__(
     ):
         """
         Args:
-            voice_name (str, optional): The name of the voice to use. See the `API page <https://elevenlabs.io/docs/api-reference/text-to-speech>` for reference. Defaults to `None`. If none of `voice_name` or `voice_id` is be provided, it uses default available voice.
-            voice_id (str, Optional): The id of the voice to use. See the `API page <https://elevenlabs.io/docs/api-reference/text-to-speech>` for reference. Defaults to `None`. If none of `voice_name` or `voice_id` must be provided, it uses default available voice.
-            model (str, optional): The name of the model to use. See the `API page: <https://elevenlabs.io/docs/api-reference/text-to-speech>` for reference. Defaults to `eleven_monolingual_v1`
-            voice_settings (Union[VoiceSettings, dict], optional): The voice settings to use. See the `Docs: <https://elevenlabs.io/docs/speech-synthesis/voice-settings>` for reference. It is a dictionary, with keys: `stability` (Required, number), `similarity_boost` (Required, number), `style` (Optional, number, default 0), `use_speaker_boost` (Optional, boolean, True).
+            voice_name (str, optional): The name of the voice to use.
+                See the
+                `API page <https://elevenlabs.io/docs/api-reference/text-to-speech>`
+                for reference. Defaults to `None`.
+                If none of `voice_name` or `voice_id` is be provided,
+                it uses default available voice.
+            voice_id (str, Optional): The id of the voice to use.
+                See the
+                `API page <https://elevenlabs.io/docs/api-reference/text-to-speech>`
+                for reference. Defaults to `None`. If none of `voice_name`
+                or `voice_id` must be provided, it uses default available voice.
+            model (str, optional): The name of the model to use. See the `API
+                page: <https://elevenlabs.io/docs/api-reference/text-to-speech>`
+                for reference. Defaults to `eleven_monolingual_v1`
+            voice_settings (Union[VoiceSettings, dict], optional): The voice
+                settings to use.
+                See the
+                `Docs: <https://elevenlabs.io/docs/speech-synthesis/voice-settings>`
+                for reference.
+                It is a dictionary, with keys: `stability` (Required, number),
+                `similarity_boost` (Required, number),
+                `style` (Optional, number, default 0), `use_speaker_boost`
+                (Optional, boolean, True).
         """
         if not voice_name and not voice_id:
             logger.warn(
@@ -86,7 +108,8 @@ def __init__(
                     "similarity_boost"
                 ):
                     raise KeyError(
-                        "Missing required keys: 'stability' and 'similarity_boost'. Required for setting voice setting"
+                        "Missing required keys: 'stability' and 'similarity_boost'. "
+                        "Required for setting voice setting"
                     )
                 self.voice_settings = VoiceSettings(
                     stability=voice_settings["stability"],
diff --git a/poetry.lock b/poetry.lock
index 773fc6d..2a4dbf7 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.5.0 and should not be changed by hand.
 
 [[package]]
 name = "alabaster"
@@ -487,7 +487,6 @@ files = [
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-    {file = "contourpy-1.1.0-cp310-cp310-win32.whl", hash = "sha256:9b2dd2ca3ac561aceef4c7c13ba654aaa404cf885b187427760d7f7d4c57cff8"},
     {file = "contourpy-1.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:1f795597073b09d631782e7245016a4323cf1cf0b4e06eef7ea6627e06a37ff2"},
     {file = "contourpy-1.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0b7b04ed0961647691cfe5d82115dd072af7ce8846d31a5fac6c142dcce8b882"},
     {file = "contourpy-1.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:27bc79200c742f9746d7dd51a734ee326a292d77e7d94c8af6e08d1e6c15d545"},
@@ -496,7 +495,6 @@ files = [
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     {file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f0cbd657e9bde94cd0e33aa7df94fb73c1ab7799378d3b3f902eb8eb2e04a3a"},
     {file = "contourpy-1.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:181cbace49874f4358e2929aaf7ba84006acb76694102e88dd15af861996c16e"},
-    {file = "contourpy-1.1.0-cp311-cp311-win32.whl", hash = "sha256:edb989d31065b1acef3828a3688f88b2abb799a7db891c9e282df5ec7e46221b"},
     {file = "contourpy-1.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:fb3b7d9e6243bfa1efb93ccfe64ec610d85cfe5aec2c25f97fbbd2e58b531256"},
     {file = "contourpy-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bcb41692aa09aeb19c7c213411854402f29f6613845ad2453d30bf421fe68fed"},
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@@ -505,7 +503,6 @@ files = [
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-    {file = "contourpy-1.1.0-cp38-cp38-win32.whl", hash = "sha256:108dfb5b3e731046a96c60bdc46a1a0ebee0760418951abecbe0fc07b5b93b27"},
     {file = "contourpy-1.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:d4f26b25b4f86087e7d75e63212756c38546e70f2a92d2be44f80114826e1cd4"},
     {file = "contourpy-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bc00bb4225d57bff7ebb634646c0ee2a1298402ec10a5fe7af79df9a51c1bfd9"},
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@@ -514,7 +511,6 @@ files = [
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-    {file = "contourpy-1.1.0-cp39-cp39-win32.whl", hash = "sha256:71551f9520f008b2950bef5f16b0e3587506ef4f23c734b71ffb7b89f8721999"},
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@@ -608,63 +604,63 @@ test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
 
 [[package]]
 name = "coverage"
-version = "7.4.1"
+version = "7.4.3"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -675,43 +671,43 @@ toml = ["tomli"]
 
 [[package]]
 name = "cryptography"
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 optional = false
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 [package.dependencies]
@@ -1098,12 +1094,13 @@ sphinx-basic-ng = "*"
 
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 description = "Clean single-source support for Python 3 and 2"
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 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
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 [package.extras]
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 name = "more-itertools"
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 docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
-fpx = ["olefile"]
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 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
-typing = ["typing-extensions"]
-xmp = ["defusedxml"]
 
 [[package]]
 name = "pip"
@@ -2661,18 +2644,18 @@ files = [
 
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+version = "2.6.2"
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 [package.dependencies]
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 typing-extensions = ">=4.6.1"
 
 [package.extras]
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 [[package]]
 name = "pydantic-core"
-version = "2.16.2"
+version = "2.16.3"
 description = ""
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 python-versions = ">=3.8"
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 [[package]]
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@@ -7021,13 +6994,13 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
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 [package.dependencies]
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+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision"]
 docs-specific = ["hf-doc-builder"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
@@ -7070,20 +7043,20 @@ ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
 sagemaker = ["sagemaker (>=2.31.0)"]
 sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
-serving = ["fastapi", "pydantic (<2)", "starlette", "uvicorn"]
+serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic (<2)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 timm = ["timm"]
 tokenizers = ["tokenizers (>=0.14,<0.19)"]
-torch = ["accelerate (>=0.21.0)", "torch (>=1.11,!=1.12.0)"]
+torch = ["accelerate (>=0.21.0)", "torch"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch (>=1.11,!=1.12.0)", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -7168,13 +7141,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.25.0"
+version = "20.25.1"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "virtualenv-20.25.0-py3-none-any.whl", hash = "sha256:4238949c5ffe6876362d9c0180fc6c3a824a7b12b80604eeb8085f2ed7460de3"},
-    {file = "virtualenv-20.25.0.tar.gz", hash = "sha256:bf51c0d9c7dd63ea8e44086fa1e4fb1093a31e963b86959257378aef020e1f1b"},
+    {file = "virtualenv-20.25.1-py3-none-any.whl", hash = "sha256:961c026ac520bac5f69acb8ea063e8a4f071bcc9457b9c1f28f6b085c511583a"},
+    {file = "virtualenv-20.25.1.tar.gz", hash = "sha256:e08e13ecdca7a0bd53798f356d5831434afa5b07b93f0abdf0797b7a06ffe197"},
 ]
 
 [package.dependencies]