diff --git a/poetry.lock b/poetry.lock
index 4e75664..ed74015 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -395,6 +395,137 @@ files = [
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 ]
 
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+optional = false
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 async = ["asgiref (>=3.2)"]
 dotenv = ["python-dotenv"]
 
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 ]
 
 [package.extras]
@@ -1947,18 +2094,18 @@ lxml = ["lxml"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.17.3"
+version = "0.19.4"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
 filelock = "*"
-fsspec = "*"
+fsspec = ">=2023.5.0"
 packaging = ">=20.9"
 pyyaml = ">=5.1"
 requests = "*"
@@ -1966,17 +2113,17 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (==23.7)", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
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+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+docs = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "hf-doc-builder", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)", "watchdog"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
-inference = ["aiohttp", "pydantic (<2.0)"]
-quality = ["black (==23.7)", "mypy (==1.5.1)", "ruff (>=0.0.241)"]
+inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (<2.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["torch"]
-typing = ["pydantic (<2.0)", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "humanfriendly"
@@ -1994,13 +2141,13 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
 
 [[package]]
 name = "identify"
-version = "2.5.31"
+version = "2.5.32"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "identify-2.5.32.tar.gz", hash = "sha256:5d9979348ec1a21c768ae07e0a652924538e8bce67313a73cb0f681cf08ba407"},
 ]
 
 [package.extras]
@@ -2236,13 +2383,13 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.19.2"
+version = "4.20.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "jsonschema-4.20.0.tar.gz", hash = "sha256:4f614fd46d8d61258610998997743ec5492a648b33cf478c1ddc23ed4598a5fa"},
 ]
 
 [package.dependencies]
@@ -2265,17 +2412,17 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2023.7.1"
+version = "2023.11.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "jsonschema_specifications-2023.11.1.tar.gz", hash = "sha256:c9b234904ffe02f079bf91b14d79987faa685fd4b39c377a0996954c0090b9ca"},
 ]
 
 [package.dependencies]
-referencing = ">=0.28.0"
+referencing = ">=0.31.0"
 
 [[package]]
 name = "jupyter"
@@ -2404,13 +2551,13 @@ jupyter-server = ">=1.1.2"
 
 [[package]]
 name = "jupyter-server"
-version = "2.10.0"
+version = "2.10.1"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2419,7 +2566,7 @@ argon2-cffi = "*"
 jinja2 = "*"
 jupyter-client = ">=7.4.4"
 jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
-jupyter-events = ">=0.6.0"
+jupyter-events = ">=0.9.0"
 jupyter-server-terminals = "*"
 nbconvert = ">=6.4.4"
 nbformat = ">=5.3.0"
@@ -2500,13 +2647,13 @@ files = [
 
 [[package]]
 name = "jupyterlab-server"
-version = "2.25.1"
+version = "2.25.2"
 description = "A set of server components for JupyterLab and JupyterLab like applications."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "jupyterlab_server-2.25.2.tar.gz", hash = "sha256:bd0ec7a99ebcedc8bcff939ef86e52c378e44c2707e053fcd81d046ce979ee63"},
 ]
 
 [package.dependencies]
@@ -3450,43 +3597,47 @@ test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"
 
 [[package]]
 name = "numpy"
-version = "1.26.1"
+version = "1.26.2"
 description = "Fundamental package for array computing in Python"
 optional = false
-python-versions = "<3.13,>=3.9"
+python-versions = ">=3.9"
 files = [
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 [[package]]
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 [[package]]
@@ -5689,17 +5837,17 @@ win32 = ["pywin32"]
 
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+version = "69.0.0"
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 [package.dependencies]
@@ -6557,113 +6705,113 @@ files = [
 
 [[package]]
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-version = "0.14.1"
+version = "0.15.0"
 description = ""
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 python-versions = ">=3.7"
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+    {file = "tokenizers-0.15.0.tar.gz", hash = "sha256:10c7e6e7b4cabd757da59e93f5f8d1126291d16f8b54f28510825ef56a3e5d0e"},
 ]
 
 [package.dependencies]
-huggingface_hub = ">=0.16.4,<0.18"
+huggingface_hub = ">=0.16.4,<1.0"
 
 [package.extras]
 dev = ["tokenizers[testing]"]
@@ -6683,19 +6831,19 @@ files = [
 
 [[package]]
 name = "torch"
-version = "2.1.0+cpu"
+version = "2.1.1+cpu"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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-    {file = "torch-2.1.0+cpu-cp38-cp38-win_amd64.whl", hash = "sha256:45b16d0b893d0c3cf8a4d7cc88234d7d83b3fa0d97d1d3adb18c2384da13f094"},
-    {file = "torch-2.1.0+cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:86cc28df491fa84738affe752f9870791026565342f69e4ab63e5b935f00a495"},
-    {file = "torch-2.1.0+cpu-cp39-cp39-win_amd64.whl", hash = "sha256:6b3c36d1597ec2a72e7e996b999a95372821292c0d2f86e9404d89f1d1fac557"},
+    {file = "torch-2.1.1+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:16e6cdb1991ff1f15f469b12fffb5b20f00b1ecff8c1073c23c7760fba90fcbc"},
+    {file = "torch-2.1.1+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:8e4e47aa4a004d2f5edd516b296da6fba07981ae9d1fc0da862abf651dc07d96"},
+    {file = "torch-2.1.1+cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:d83b13cb17544f9851cc31fed197865eae0c0f5d32df9d8d6d8535df7d2e5109"},
+    {file = "torch-2.1.1+cpu-cp311-cp311-win_amd64.whl", hash = "sha256:23be0cb945970443c97d4f9ea61ed03b27f924d835de689dd4134f30966c13f7"},
+    {file = "torch-2.1.1+cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:9399a8dfe4833bb544e7a0c332c47db1e389a06b4ae5ac9b3b167d863adc95d9"},
+    {file = "torch-2.1.1+cpu-cp38-cp38-win_amd64.whl", hash = "sha256:d8e19bb465e1fa15f3231ff57bbf0a673e5dcaca39eee4f58a4be7832b80c9da"},
+    {file = "torch-2.1.1+cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:b2cc98815251f8a2d102c2f8f4afe8304c2df61ce9c237198032c7903d97fdbb"},
+    {file = "torch-2.1.1+cpu-cp39-cp39-win_amd64.whl", hash = "sha256:b09d431c8e53511b6c3624f1d79cce9cd28f4c27ca20c5a49e4dcc1f9e7377e5"},
 ]
 
 [package.dependencies]
@@ -6717,23 +6865,23 @@ reference = "torch-cpu"
 
 [[package]]
 name = "torchaudio"
-version = "2.1.0+cpu"
+version = "2.1.1+cpu"
 description = "An audio package for PyTorch"
 optional = false
 python-versions = "*"
 files = [
-    {file = "torchaudio-2.1.0+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:479bf607276c688db13c3652f36978b06bf9d827763a799b6d6f07d90a794205"},
-    {file = "torchaudio-2.1.0+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:87d018031d045e6257b452952440c0d4f3cce3e7cfbad575d123a412874cc8d6"},
-    {file = "torchaudio-2.1.0+cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:b78575dc4748e57046b396a85470bb3615fa7822b745ff091ded073bd036eb6e"},
-    {file = "torchaudio-2.1.0+cpu-cp311-cp311-win_amd64.whl", hash = "sha256:1a2083d8bb65edd7e11ed519dee7c9050da6f74a8f900299b27f59478cddaf60"},
-    {file = "torchaudio-2.1.0+cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:f2062f985504171368535bf86808acf86b29573d9730715dcc55408ae09a717b"},
-    {file = "torchaudio-2.1.0+cpu-cp38-cp38-win_amd64.whl", hash = "sha256:98a70a34ba96f09de51914b794792ee9a946d56f3edb8ac5c0539b626509881e"},
-    {file = "torchaudio-2.1.0+cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:b2f634b380264010916d26324ab0f2040412e77029b1cfe59333adf2070f4b99"},
-    {file = "torchaudio-2.1.0+cpu-cp39-cp39-win_amd64.whl", hash = "sha256:f6e1bf63f8902131943385a13b31215cbde135365cd4b2437971aec85bfd1b4f"},
+    {file = "torchaudio-2.1.1+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:ab0450b7047748c7bdceede3802eff4869dbad966275aa5d0deb237cafb50cd8"},
+    {file = "torchaudio-2.1.1+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:f105a2ac4c7eb0e6333b3af009dc2e2041671e2cdc5f890330ed5e3a86a4221d"},
+    {file = "torchaudio-2.1.1+cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:e0eb276958fcbd7c88f5daf761823e36ce5e41332d40f9e01fb49d80d7cc1bb1"},
+    {file = "torchaudio-2.1.1+cpu-cp311-cp311-win_amd64.whl", hash = "sha256:c45cf0da51fcb1b5b61bdce52ec3693f83f5aa22711963f0dadec6120bc825ab"},
+    {file = "torchaudio-2.1.1+cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:a51849c04da2d5dd9aee750465985b99651dcba699457370ee170f94857ab6d7"},
+    {file = "torchaudio-2.1.1+cpu-cp38-cp38-win_amd64.whl", hash = "sha256:2392bafa8c080817f0b5452eddc0341004984d9751fba36040eb098239ea50f8"},
+    {file = "torchaudio-2.1.1+cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:5447752419186b60eacc0ab438766efb87ec45062925aceacc99ffefb7b61044"},
+    {file = "torchaudio-2.1.1+cpu-cp39-cp39-win_amd64.whl", hash = "sha256:95b898c927a84b32f72c0ad74a435c09fcd58e65a86780b3e8dfd087fe56154e"},
 ]
 
 [package.dependencies]
-torch = "2.1.0"
+torch = "2.1.1"
 
 [package.source]
 type = "legacy"
@@ -6742,26 +6890,26 @@ reference = "torch-cpu"
 
 [[package]]
 name = "torchvision"
-version = "0.16.0+cpu"
+version = "0.16.1+cpu"
 description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "torchvision-0.16.0+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:4d3dd85091803d3302e1d5fde39d5b3ffc8a52ddd68f2323bfd19ae3019cc759"},
-    {file = "torchvision-0.16.0+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:73ac9e70fbf3350bdd13f6301a4bff1c7c9bb535df047c7df5a0de53237c1977"},
-    {file = "torchvision-0.16.0+cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:be317c0b0b32d008309a1de6018e77b500d1cf966e158a5db1070da5c0cfea88"},
-    {file = "torchvision-0.16.0+cpu-cp311-cp311-win_amd64.whl", hash = "sha256:82420aef8e9a915218392f177d82c8dccf522b5da653bdf226c36d81ef5b3408"},
-    {file = "torchvision-0.16.0+cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:512ec79de67e04ff28b2d96353f6da555151dec89fc9b10c73bec8b2a1b304f6"},
-    {file = "torchvision-0.16.0+cpu-cp38-cp38-win_amd64.whl", hash = "sha256:0d77d7e2de5a49602693b67748a498ee4c2e46f497748e03e251a61ec2caf50d"},
-    {file = "torchvision-0.16.0+cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:f9363ed8c9870455ae1bfb1d5ac691e63daefd98e1f30f0b654f368415e33056"},
-    {file = "torchvision-0.16.0+cpu-cp39-cp39-win_amd64.whl", hash = "sha256:8fdc472ca71ffcf34ec4bd0ed1c12ee889833f0ec05fd29771070d4a636439ae"},
+    {file = "torchvision-0.16.1+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:52442b5408dab35fedc6ccd75a7df38aadb6eb5d078184ac04ba7c1a9db8ae9c"},
+    {file = "torchvision-0.16.1+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:d77afeed3fe309f3f73943431840d40fa61a33a52076bbb780c63e6b5f79962a"},
+    {file = "torchvision-0.16.1+cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:574b58e20ca89ebd2d8d1ff72dc6e6944734ed1327849214a349c39d5454ac4f"},
+    {file = "torchvision-0.16.1+cpu-cp311-cp311-win_amd64.whl", hash = "sha256:f6fed6f1311d34c4751d70d60408ea8526842ede66f5aad7272d6de5c4337ebc"},
+    {file = "torchvision-0.16.1+cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:53a5f20778bb300038d1846fb111e73ae5d4babc6b9cfb6a6cbeb2eefa399c0b"},
+    {file = "torchvision-0.16.1+cpu-cp38-cp38-win_amd64.whl", hash = "sha256:89b9bf0e80fc4c45f114707d61e15741ce0e9591badf29aa939863be9fd9543d"},
+    {file = "torchvision-0.16.1+cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:048b029410bc4c7ce87b1f2b621fd8b88249c68350ee773c3152faa088e9fcca"},
+    {file = "torchvision-0.16.1+cpu-cp39-cp39-win_amd64.whl", hash = "sha256:73a4b3317eae425baabefe6b61197c75b0b766f1809c5cfdad07dd6bfad255a2"},
 ]
 
 [package.dependencies]
 numpy = "*"
 pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
 requests = "*"
-torch = "2.1.0"
+torch = "2.1.1"
 
 [package.extras]
 scipy = ["scipy"]
@@ -7133,13 +7281,13 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
 
 [[package]]
 name = "urllib3"
-version = "2.0.7"
+version = "2.1.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "urllib3-2.0.7-py3-none-any.whl", hash = "sha256:fdb6d215c776278489906c2f8916e6e7d4f5a9b602ccbcfdf7f016fc8da0596e"},
-    {file = "urllib3-2.0.7.tar.gz", hash = "sha256:c97dfde1f7bd43a71c8d2a58e369e9b2bf692d1334ea9f9cae55add7d0dd0f84"},
+    {file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
+    {file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
 ]
 
 [package.dependencies]
@@ -7147,7 +7295,6 @@ pysocks = {version = ">=1.5.6,<1.5.7 || >1.5.7,<2.0", optional = true, markers =
 
 [package.extras]
 brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
-secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
@@ -7187,13 +7334,13 @@ colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\" and python
 
 [[package]]
 name = "wcwidth"
-version = "0.2.9"
+version = "0.2.10"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
 files = [
-    {file = "wcwidth-0.2.9-py2.py3-none-any.whl", hash = "sha256:9a929bd8380f6cd9571a968a9c8f4353ca58d7cd812a4822bba831f8d685b223"},
-    {file = "wcwidth-0.2.9.tar.gz", hash = "sha256:a675d1a4a2d24ef67096a04b85b02deeecd8e226f57b5e3a72dbb9ed99d27da8"},
+    {file = "wcwidth-0.2.10-py2.py3-none-any.whl", hash = "sha256:aec5179002dd0f0d40c456026e74a729661c9d468e1ed64405e3a6c2176ca36f"},
+    {file = "wcwidth-0.2.10.tar.gz", hash = "sha256:390c7454101092a6a5e43baad8f83de615463af459201709556b6e4b1c861f97"},
 ]
 
 [[package]]
@@ -7403,4 +7550,4 @@ web-server = ["dash", "dash-auth", "dash-bootstrap-components", "matplotlib", "n
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.13"
-content-hash = "94eec88935cc58ab0ff70e6273f29d4e37a32a8cfd9ae5a98aa82cc755cf7507"
+content-hash = "67e2a8e898c043a9e6810a517b5c5ab28e78d2f23b728b74229ae58fc1a818f7"
diff --git a/pyproject.toml b/pyproject.toml
index a9f5d57..c0db7b4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -60,6 +60,7 @@ dash_cytoscape = "^0.3.0"
 dashvis = "^0.1.3"
 datetime = "^5.3"
 deutschland = {git = "https://github.com/TrisNol/deutschland.git", branch = "hotfix/python-3.11-support"}
+flask-compress = "^1.14"
 frozendict = "^2.3.8"
 html5lib = "^1.1"
 loguru = "^0.7.0"
diff --git a/src/aki_prj23_transparenzregister/ui/app.py b/src/aki_prj23_transparenzregister/ui/app.py
index 757f156..af85d97 100644
--- a/src/aki_prj23_transparenzregister/ui/app.py
+++ b/src/aki_prj23_transparenzregister/ui/app.py
@@ -27,6 +27,7 @@ app = Dash(
     suppress_callback_exceptions=True,
     external_stylesheets=[dbc.icons.BOOTSTRAP],
     title="Transparenzregister",
+    compress=True,
 )  # use dbc for icons
 app._favicon = "favicon.png"  # noqa: SLF001
 add_auth(app)