From e5caca9042250ef2f82c6a8a3dab5782a320d2c1 Mon Sep 17 00:00:00 2001
From: zqhuang211 <zqhuang@gmail.com>
Date: Thu, 15 Aug 2024 18:44:10 -0700
Subject: [PATCH] Update gradio demo to support text/voice conversation (#75)

Run `just gradio` to start a text/voice conversation demo with model `fixie-ai/ultravox-v0_3`
---
 .gitignore                           |    1 +
 poetry.lock                          | 3377 ++++++++++++--------------
 pyproject.toml                       |    8 +-
 ultravox/data/datasets.py            |    3 +
 ultravox/inference/infer.py          |   69 +-
 ultravox/inference/infer_test.py     |    6 +-
 ultravox/inference/ultravox_infer.py |    3 +
 ultravox/model/ultravox_model.py     |   16 +-
 ultravox/tools/gradio_demo.py        |  143 +-
 9 files changed, 1816 insertions(+), 1810 deletions(-)

diff --git a/.gitignore b/.gitignore
index 11d49f38..17cdad67 100644
--- a/.gitignore
+++ b/.gitignore
@@ -125,6 +125,7 @@ ipython_config.py
 #   commonly ignored for libraries.
 #   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
 #poetry.lock
+poetry.toml
 
 # pdm
 #   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
diff --git a/poetry.lock b/poetry.lock
index 56edc005..c9a6f385 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,18 +2,18 @@
 
 [[package]]
 name = "accelerate"
-version = "0.31.0"
+version = "0.33.0"
 description = "Accelerate"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "accelerate-0.31.0-py3-none-any.whl", hash = "sha256:0fc608dc49584f64d04711a39711d73cb0ad4ef3d21cddee7ef2216e29471144"},
-    {file = "accelerate-0.31.0.tar.gz", hash = "sha256:b5199865b26106ccf9205acacbe8e4b3b428ad585e7c472d6a46f6fb75b6c176"},
+    {file = "accelerate-0.33.0-py3-none-any.whl", hash = "sha256:0a7f33d60ba09afabd028d4f0856dd19c5a734b7a596d637d9dd6e3d0eadbaf3"},
+    {file = "accelerate-0.33.0.tar.gz", hash = "sha256:11ba481ed6ea09191775df55ce464aeeba67a024bd0261a44b77b30fb439e26a"},
 ]
 
 [package.dependencies]
-huggingface-hub = "*"
-numpy = ">=1.17"
+huggingface-hub = ">=0.21.0"
+numpy = ">=1.17,<2.0.0"
 packaging = ">=20.0"
 psutil = "*"
 pyyaml = "*"
@@ -42,92 +42,104 @@ files = [
     {file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
 ]
 
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.5"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"},
+    {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+]
+
 [[package]]
 name = "aiohttp"
-version = "3.9.5"
+version = "3.10.1"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
+aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
@@ -135,7 +147,7 @@ multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "brotlicffi"]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
@@ -219,13 +231,13 @@ trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "argcomplete"
-version = "3.3.0"
+version = "3.5.0"
 description = "Bash tab completion for argparse"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "argcomplete-3.5.0.tar.gz", hash = "sha256:4349400469dccfb7950bb60334a680c58d88699bff6159df61251878dc6bf74b"},
 ]
 
 [package.extras]
@@ -252,22 +264,22 @@ test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock
 
 [[package]]
 name = "attrs"
-version = "23.2.0"
+version = "24.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
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-dev = ["attrs[tests]", "pre-commit"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
-tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
-tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
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+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "audioread"
@@ -318,13 +330,13 @@ aio = ["aiohttp (>=3.0)"]
 
 [[package]]
 name = "azure-identity"
-version = "1.16.1"
+version = "1.17.1"
 description = "Microsoft Azure Identity Library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "azure-identity-1.16.1.tar.gz", hash = "sha256:6d93f04468f240d59246d8afde3091494a5040d4f141cad0f49fc0c399d0d91e"},
-    {file = "azure_identity-1.16.1-py3-none-any.whl", hash = "sha256:8fb07c25642cd4ac422559a8b50d3e77f73dcc2bbfaba419d06d6c9d7cff6726"},
+    {file = "azure-identity-1.17.1.tar.gz", hash = "sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea"},
+    {file = "azure_identity-1.17.1-py3-none-any.whl", hash = "sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382"},
 ]
 
 [package.dependencies]
@@ -332,16 +344,17 @@ azure-core = ">=1.23.0"
 cryptography = ">=2.5"
 msal = ">=1.24.0"
 msal-extensions = ">=0.3.0"
+typing-extensions = ">=4.0.0"
 
 [[package]]
 name = "azure-storage-blob"
-version = "12.20.0"
+version = "12.22.0"
 description = "Microsoft Azure Blob Storage Client Library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "azure-storage-blob-12.20.0.tar.gz", hash = "sha256:eeb91256e41d4b5b9bad6a87fd0a8ade07dd58aa52344e2c8d2746e27a017d3b"},
-    {file = "azure_storage_blob-12.20.0-py3-none-any.whl", hash = "sha256:de6b3bf3a90e9341a6bcb96a2ebe981dffff993e9045818f6549afea827a52a9"},
+    {file = "azure-storage-blob-12.22.0.tar.gz", hash = "sha256:b3804bb4fe8ab1c32771fa464053da772a682c2737b19da438a3f4e5e3b3736e"},
+    {file = "azure_storage_blob-12.22.0-py3-none-any.whl", hash = "sha256:bb7d2d824ce3f11f14a27ee7d9281289f7e072ac8311c52e3652672455b7d5e8"},
 ]
 
 [package.dependencies]
@@ -355,18 +368,18 @@ aio = ["azure-core[aio] (>=1.28.0)"]
 
 [[package]]
 name = "azure-storage-file-datalake"
-version = "12.15.0"
+version = "12.16.0"
 description = "Microsoft Azure File DataLake Storage Client Library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "azure-storage-file-datalake-12.15.0.tar.gz", hash = "sha256:bc6c07fa22a93446c2c9097b10ad6572396e82ab34230d697f30034258415a0b"},
-    {file = "azure_storage_file_datalake-12.15.0-py3-none-any.whl", hash = "sha256:6b12ce23f5fffb26a6fa7f7f5932442a1d419dba1675f9ff89dcd13f9707be5a"},
+    {file = "azure-storage-file-datalake-12.16.0.tar.gz", hash = "sha256:3185580e4e438162ef84fb88cb46b2ef248dafbfb07f53297762417bb7000333"},
+    {file = "azure_storage_file_datalake-12.16.0-py3-none-any.whl", hash = "sha256:da57ec6cf5640b92bbd0ba61478f51e67c63b94843fa748b3b6599f1adba5837"},
 ]
 
 [package.dependencies]
 azure-core = ">=1.28.0"
-azure-storage-blob = ">=12.20.0"
+azure-storage-blob = ">=12.21.0"
 isodate = ">=0.6.1"
 typing-extensions = ">=4.6.0"
 
@@ -386,38 +399,38 @@ files = [
 
 [[package]]
 name = "bcrypt"
-version = "4.1.3"
+version = "4.2.0"
 description = "Modern password hashing for your software and your servers"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "bcrypt-4.1.3-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:48429c83292b57bf4af6ab75809f8f4daf52aa5d480632e53707805cc1ce9b74"},
-    {file = "bcrypt-4.1.3-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4a8bea4c152b91fd8319fef4c6a790da5c07840421c2b785084989bf8bbb7455"},
-    {file = "bcrypt-4.1.3-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d3b317050a9a711a5c7214bf04e28333cf528e0ed0ec9a4e55ba628d0f07c1a"},
-    {file = "bcrypt-4.1.3-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:094fd31e08c2b102a14880ee5b3d09913ecf334cd604af27e1013c76831f7b05"},
-    {file = "bcrypt-4.1.3-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:4fb253d65da30d9269e0a6f4b0de32bd657a0208a6f4e43d3e645774fb5457f3"},
-    {file = "bcrypt-4.1.3-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:193bb49eeeb9c1e2db9ba65d09dc6384edd5608d9d672b4125e9320af9153a15"},
-    {file = "bcrypt-4.1.3-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:8cbb119267068c2581ae38790e0d1fbae65d0725247a930fc9900c285d95725d"},
-    {file = "bcrypt-4.1.3-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:6cac78a8d42f9d120b3987f82252bdbeb7e6e900a5e1ba37f6be6fe4e3848286"},
-    {file = "bcrypt-4.1.3-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:01746eb2c4299dd0ae1670234bf77704f581dd72cc180f444bfe74eb80495b64"},
-    {file = "bcrypt-4.1.3-cp37-abi3-win32.whl", hash = "sha256:037c5bf7c196a63dcce75545c8874610c600809d5d82c305dd327cd4969995bf"},
-    {file = "bcrypt-4.1.3-cp37-abi3-win_amd64.whl", hash = "sha256:8a893d192dfb7c8e883c4576813bf18bb9d59e2cfd88b68b725990f033f1b978"},
-    {file = "bcrypt-4.1.3-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:0d4cf6ef1525f79255ef048b3489602868c47aea61f375377f0d00514fe4a78c"},
-    {file = "bcrypt-4.1.3-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f5698ce5292a4e4b9e5861f7e53b1d89242ad39d54c3da451a93cac17b61921a"},
-    {file = "bcrypt-4.1.3-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec3c2e1ca3e5c4b9edb94290b356d082b721f3f50758bce7cce11d8a7c89ce84"},
-    {file = "bcrypt-4.1.3-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:3a5be252fef513363fe281bafc596c31b552cf81d04c5085bc5dac29670faa08"},
-    {file = "bcrypt-4.1.3-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:5f7cd3399fbc4ec290378b541b0cf3d4398e4737a65d0f938c7c0f9d5e686611"},
-    {file = "bcrypt-4.1.3-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:c4c8d9b3e97209dd7111bf726e79f638ad9224b4691d1c7cfefa571a09b1b2d6"},
-    {file = "bcrypt-4.1.3-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:31adb9cbb8737a581a843e13df22ffb7c84638342de3708a98d5c986770f2834"},
-    {file = "bcrypt-4.1.3-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:551b320396e1d05e49cc18dd77d970accd52b322441628aca04801bbd1d52a73"},
-    {file = "bcrypt-4.1.3-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:6717543d2c110a155e6821ce5670c1f512f602eabb77dba95717ca76af79867d"},
-    {file = "bcrypt-4.1.3-cp39-abi3-win32.whl", hash = "sha256:6004f5229b50f8493c49232b8e75726b568535fd300e5039e255d919fc3a07f2"},
-    {file = "bcrypt-4.1.3-cp39-abi3-win_amd64.whl", hash = "sha256:2505b54afb074627111b5a8dc9b6ae69d0f01fea65c2fcaea403448c503d3991"},
-    {file = "bcrypt-4.1.3-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:cb9c707c10bddaf9e5ba7cdb769f3e889e60b7d4fea22834b261f51ca2b89fed"},
-    {file = "bcrypt-4.1.3-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:9f8ea645eb94fb6e7bea0cf4ba121c07a3a182ac52876493870033141aa687bc"},
-    {file = "bcrypt-4.1.3-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:f44a97780677e7ac0ca393bd7982b19dbbd8d7228c1afe10b128fd9550eef5f1"},
-    {file = "bcrypt-4.1.3-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d84702adb8f2798d813b17d8187d27076cca3cd52fe3686bb07a9083930ce650"},
-    {file = "bcrypt-4.1.3.tar.gz", hash = "sha256:2ee15dd749f5952fe3f0430d0ff6b74082e159c50332a1413d51b5689cf06623"},
+    {file = "bcrypt-4.2.0-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:096a15d26ed6ce37a14c1ac1e48119660f21b24cba457f160a4b830f3fe6b5cb"},
+    {file = "bcrypt-4.2.0-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c02d944ca89d9b1922ceb8a46460dd17df1ba37ab66feac4870f6862a1533c00"},
+    {file = "bcrypt-4.2.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d84cf6d877918620b687b8fd1bf7781d11e8a0998f576c7aa939776b512b98d"},
+    {file = "bcrypt-4.2.0-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:1bb429fedbe0249465cdd85a58e8376f31bb315e484f16e68ca4c786dcc04291"},
+    {file = "bcrypt-4.2.0-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:655ea221910bcac76ea08aaa76df427ef8625f92e55a8ee44fbf7753dbabb328"},
+    {file = "bcrypt-4.2.0-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:1ee38e858bf5d0287c39b7a1fc59eec64bbf880c7d504d3a06a96c16e14058e7"},
+    {file = "bcrypt-4.2.0-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:0da52759f7f30e83f1e30a888d9163a81353ef224d82dc58eb5bb52efcabc399"},
+    {file = "bcrypt-4.2.0-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:3698393a1b1f1fd5714524193849d0c6d524d33523acca37cd28f02899285060"},
+    {file = "bcrypt-4.2.0-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:762a2c5fb35f89606a9fde5e51392dad0cd1ab7ae64149a8b935fe8d79dd5ed7"},
+    {file = "bcrypt-4.2.0-cp37-abi3-win32.whl", hash = "sha256:5a1e8aa9b28ae28020a3ac4b053117fb51c57a010b9f969603ed885f23841458"},
+    {file = "bcrypt-4.2.0-cp37-abi3-win_amd64.whl", hash = "sha256:8f6ede91359e5df88d1f5c1ef47428a4420136f3ce97763e31b86dd8280fbdf5"},
+    {file = "bcrypt-4.2.0-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:c52aac18ea1f4a4f65963ea4f9530c306b56ccd0c6f8c8da0c06976e34a6e841"},
+    {file = "bcrypt-4.2.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3bbbfb2734f0e4f37c5136130405332640a1e46e6b23e000eeff2ba8d005da68"},
+    {file = "bcrypt-4.2.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3413bd60460f76097ee2e0a493ccebe4a7601918219c02f503984f0a7ee0aebe"},
+    {file = "bcrypt-4.2.0-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:8d7bb9c42801035e61c109c345a28ed7e84426ae4865511eb82e913df18f58c2"},
+    {file = "bcrypt-4.2.0-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:3d3a6d28cb2305b43feac298774b997e372e56c7c7afd90a12b3dc49b189151c"},
+    {file = "bcrypt-4.2.0-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:9c1c4ad86351339c5f320ca372dfba6cb6beb25e8efc659bedd918d921956bae"},
+    {file = "bcrypt-4.2.0-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:27fe0f57bb5573104b5a6de5e4153c60814c711b29364c10a75a54bb6d7ff48d"},
+    {file = "bcrypt-4.2.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:8ac68872c82f1add6a20bd489870c71b00ebacd2e9134a8aa3f98a0052ab4b0e"},
+    {file = "bcrypt-4.2.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:cb2a8ec2bc07d3553ccebf0746bbf3d19426d1c6d1adbd4fa48925f66af7b9e8"},
+    {file = "bcrypt-4.2.0-cp39-abi3-win32.whl", hash = "sha256:77800b7147c9dc905db1cba26abe31e504d8247ac73580b4aa179f98e6608f34"},
+    {file = "bcrypt-4.2.0-cp39-abi3-win_amd64.whl", hash = "sha256:61ed14326ee023917ecd093ee6ef422a72f3aec6f07e21ea5f10622b735538a9"},
+    {file = "bcrypt-4.2.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:39e1d30c7233cfc54f5c3f2c825156fe044efdd3e0b9d309512cc514a263ec2a"},
+    {file = "bcrypt-4.2.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f4f4acf526fcd1c34e7ce851147deedd4e26e6402369304220250598b26448db"},
+    {file = "bcrypt-4.2.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:1ff39b78a52cf03fdf902635e4c81e544714861ba3f0efc56558979dd4f09170"},
+    {file = "bcrypt-4.2.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:373db9abe198e8e2c70d12b479464e0d5092cc122b20ec504097b5f2297ed184"},
+    {file = "bcrypt-4.2.0.tar.gz", hash = "sha256:cf69eaf5185fd58f268f805b505ce31f9b9fc2d64b376642164e9244540c1221"},
 ]
 
 [package.extras]
@@ -500,17 +513,17 @@ wcwidth = ">=0.1.4"
 
 [[package]]
 name = "boto3"
-version = "1.34.124"
+version = "1.34.156"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.34.124-py3-none-any.whl", hash = "sha256:549d9735bbb7cf8e1a2f4b3b676be32946717c59f33c47234586835dc904d04e"},
-    {file = "boto3-1.34.124.tar.gz", hash = "sha256:a91ee58fa54b170f17b2e144f038e155f92cf515f1c073ac2595e9ee45f125a8"},
+    {file = "boto3-1.34.156-py3-none-any.whl", hash = "sha256:cbbd453270b8ce94ef9da60dfbb6f9ceeb3eeee226b635aa9ec44b1def98cc96"},
+    {file = "boto3-1.34.156.tar.gz", hash = "sha256:b33e9a8f8be80d3053b8418836a7c1900410b23a30c7cb040927d601a1082e68"},
 ]
 
 [package.dependencies]
-botocore = ">=1.34.124,<1.35.0"
+botocore = ">=1.34.156,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -519,13 +532,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.124"
+version = "1.34.156"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.34.124-py3-none-any.whl", hash = "sha256:fede092c7f8f414f78f3e7991e47cb0cf2279d90c027606ad7cba79fa370b827"},
-    {file = "botocore-1.34.124.tar.gz", hash = "sha256:3f0bf79c17d656acdfdb53581224f6a38867ff2829f7428c586198f67a90ea26"},
+    {file = "botocore-1.34.156-py3-none-any.whl", hash = "sha256:c48f8c8996216dfdeeb0aa6d3c0f2c7ae25234766434a2ea3e57bdc08494bdda"},
+    {file = "botocore-1.34.156.tar.gz", hash = "sha256:5d1478c41ab9681e660b3322432fe09c4055759c317984b7b8d3af9557ff769a"},
 ]
 
 [package.dependencies]
@@ -534,7 +547,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.20.11)"]
+crt = ["awscrt (==0.21.2)"]
 
 [[package]]
 name = "brotli"
@@ -630,85 +643,100 @@ files = [
 
 [[package]]
 name = "cachetools"
-version = "5.3.3"
+version = "5.4.0"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "cachetools-5.3.3-py3-none-any.whl", hash = "sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945"},
-    {file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
+    {file = "cachetools-5.4.0-py3-none-any.whl", hash = "sha256:3ae3b49a3d5e28a77a0be2b37dbcb89005058959cb2323858c2657c4a8cab474"},
+    {file = "cachetools-5.4.0.tar.gz", hash = "sha256:b8adc2e7c07f105ced7bc56dbb6dfbe7c4a00acce20e2227b3f355be89bc6827"},
 ]
 
 [[package]]
 name = "certifi"
-version = "2024.6.2"
+version = "2024.7.4"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
-    {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"},
+    {file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
+    {file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
 ]
 
 [[package]]
 name = "cffi"
-version = "1.16.0"
+version = "1.17.0"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "cffi-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088"},
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 ]
 
 [package.dependencies]
@@ -716,18 +744,103 @@ pycparser = "*"
 
 [[package]]
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 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
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-[package.extras]
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-
 [[package]]
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-wmi = ["wmi (>=1.5.1)"]
-
 [[package]]
 name = "docker-pycreds"
 version = "0.4.0"
@@ -1148,140 +1241,102 @@ files = [
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-
 [[package]]
 name = "fastapi"
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 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
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 python-versions = ">=3.8"
 files = [
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+description = "A simple Python wrapper for FFmpeg"
 optional = false
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 [package.extras]
@@ -1480,20 +1535,20 @@ test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit",
 
 [[package]]
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+version = "2.19.1"
 description = "Google API client core library"
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 python-versions = ">=3.7"
 files = [
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 requests = ">=2.18.0,<3.0.0.dev0"
 
 [package.extras]
@@ -1503,13 +1558,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.30.0"
+version = "2.33.0"
 description = "Google Authentication Library"
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 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -1526,13 +1581,13 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "google-auth-oauthlib"
-version = "1.2.0"
+version = "1.2.1"
 description = "Google Authentication Library"
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 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
@@ -1663,13 +1718,13 @@ testing = ["pytest"]
 
 [[package]]
 name = "google-resumable-media"
-version = "2.7.1"
+version = "2.7.2"
 description = "Utilities for Google Media Downloads and Resumable Uploads"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1681,17 +1736,17 @@ requests = ["requests (>=2.18.0,<3.0.0dev)"]
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.63.1"
+version = "1.63.2"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
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+protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
 
 [package.extras]
 grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
@@ -1746,57 +1801,56 @@ websockets = ["websockets (>=10,<12)"]
 
 [[package]]
 name = "gradio"
-version = "3.40.1"
+version = "4.29.0"
 description = "Python library for easily interacting with trained machine learning models"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 altair = ">=4.2.0,<6.0"
 fastapi = "*"
 ffmpy = "*"
-gradio-client = ">=0.4.0"
-httpx = "*"
-huggingface-hub = ">=0.14.0"
+gradio-client = "0.16.1"
+httpx = ">=0.24.1"
+huggingface-hub = ">=0.19.3"
 importlib-resources = ">=1.3,<7.0"
 jinja2 = "<4.0"
-markdown-it-py = {version = ">=2.0.0", extras = ["linkify"]}
 markupsafe = ">=2.0,<3.0"
 matplotlib = ">=3.0,<4.0"
-mdit-py-plugins = "<=0.3.3"
 numpy = ">=1.0,<2.0"
 orjson = ">=3.0,<4.0"
 packaging = "*"
 pandas = ">=1.0,<3.0"
 pillow = ">=8.0,<11.0"
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+pydantic = ">=2.0"
 pydub = "*"
-python-multipart = "*"
+python-multipart = ">=0.0.9"
 pyyaml = ">=5.0,<7.0"
-requests = ">=2.0,<3.0"
+ruff = {version = ">=0.2.2", markers = "sys_platform != \"emscripten\""}
 semantic-version = ">=2.0,<3.0"
+tomlkit = "0.12.0"
+typer = {version = ">=0.12,<1.0", markers = "sys_platform != \"emscripten\""}
 typing-extensions = ">=4.0,<5.0"
-uvicorn = ">=0.14.0"
-websockets = ">=10.0,<12.0"
+urllib3 = ">=2.0,<3.0"
+uvicorn = {version = ">=0.14.0", markers = "sys_platform != \"emscripten\""}
 
 [package.extras]
 oauth = ["authlib", "itsdangerous"]
 
 [[package]]
 name = "gradio-client"
-version = "1.0.1"
+version = "0.16.1"
 description = "Python library for easily interacting with trained machine learning models"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1850,54 +1904,6 @@ http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 trio = ["trio (>=0.22.0,<0.26.0)"]
 
-[[package]]
-name = "httptools"
-version = "0.6.1"
-description = "A collection of framework independent HTTP protocol utils."
-optional = false
-python-versions = ">=3.8.0"
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-]
-
-[package.extras]
-test = ["Cython (>=0.29.24,<0.30.0)"]
-
 [[package]]
 name = "httpx"
 version = "0.27.0"
@@ -1924,13 +1930,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.23.3"
+version = "0.24.5"
 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 = [
-    {file = "huggingface_hub-0.23.3-py3-none-any.whl", hash = "sha256:22222c41223f1b7c209ae5511d2d82907325a0e3cdbce5f66949d43c598ff3bc"},
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+    {file = "huggingface_hub-0.24.5-py3-none-any.whl", hash = "sha256:d93fb63b1f1a919a22ce91a14518974e81fc4610bf344dfe7572343ce8d3aced"},
+    {file = "huggingface_hub-0.24.5.tar.gz", hash = "sha256:7b45d6744dd53ce9cbf9880957de00e9d10a9ae837f1c9b7255fc8fa4e8264f3"},
 ]
 
 [package.dependencies]
@@ -1943,17 +1949,17 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "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", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
 inference = ["aiohttp", "minijinja (>=1.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
-torch = ["safetensors", "torch"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
@@ -2040,13 +2046,13 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "jinxed"
-version = "1.2.1"
+version = "1.3.0"
 description = "Jinxed Terminal Library"
 optional = false
 python-versions = "*"
 files = [
-    {file = "jinxed-1.2.1-py2.py3-none-any.whl", hash = "sha256:37422659c4925969c66148c5e64979f553386a4226b9484d910d3094ced37d30"},
-    {file = "jinxed-1.2.1.tar.gz", hash = "sha256:30c3f861b73279fea1ed928cfd4dfb1f273e16cd62c8a32acfac362da0f78f3f"},
+    {file = "jinxed-1.3.0-py2.py3-none-any.whl", hash = "sha256:b993189f39dc2d7504d802152671535b06d380b26d78070559551cbf92df4fc5"},
+    {file = "jinxed-1.3.0.tar.gz", hash = "sha256:1593124b18a41b7a3da3b078471442e51dbad3d77b4d4f2b0c26ab6f7d660dbf"},
 ]
 
 [package.dependencies]
@@ -2091,13 +2097,13 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.22.0"
+version = "4.23.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema-4.22.0-py3-none-any.whl", hash = "sha256:ff4cfd6b1367a40e7bc6411caec72effadd3db0bbe5017de188f2d6108335802"},
-    {file = "jsonschema-4.22.0.tar.gz", hash = "sha256:5b22d434a45935119af990552c862e5d6d564e8f6601206b305a61fdf661a2b7"},
+    {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
+    {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
 ]
 
 [package.dependencies]
@@ -2108,7 +2114,7 @@ rpds-py = ">=0.7.1"
 
 [package.extras]
 format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
-format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=24.6.0)"]
 
 [[package]]
 name = "jsonschema-specifications"
@@ -2287,54 +2293,34 @@ display = ["matplotlib (>=3.5.0)"]
 docs = ["ipython (>=7.0)", "matplotlib (>=3.5.0)", "mir-eval (>=0.5)", "numba (>=0.51)", "numpydoc", "presets", "sphinx (!=1.3.1)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.7)", "sphinx-multiversion (>=0.2.3)", "sphinx-rtd-theme (>=1.2.0)", "sphinxcontrib-svg2pdfconverter"]
 tests = ["matplotlib (>=3.5.0)", "packaging (>=20.0)", "pytest", "pytest-cov", "pytest-mpl", "resampy (>=0.2.2)", "samplerate", "types-decorator"]
 
-[[package]]
-name = "linkify-it-py"
-version = "2.0.3"
-description = "Links recognition library with FULL unicode support."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "linkify-it-py-2.0.3.tar.gz", hash = "sha256:68cda27e162e9215c17d786649d1da0021a451bdc436ef9e0fa0ba5234b9b048"},
-    {file = "linkify_it_py-2.0.3-py3-none-any.whl", hash = "sha256:6bcbc417b0ac14323382aef5c5192c0075bf8a9d6b41820a2b66371eac6b6d79"},
-]
-
-[package.dependencies]
-uc-micro-py = "*"
-
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 profiling = ["gprof2dot"]
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 testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
 
 [[package]]
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-
 [[package]]
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 version = "0.1.2"
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+version = "0.6.40"
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 name = "msgpack"
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 [package.dependencies]
@@ -3107,37 +3069,37 @@ twitter = ["twython"]
 
 [[package]]
 name = "numba"
-version = "0.59.1"
+version = "0.60.0"
 description = "compiling Python code using LLVM"
 optional = false
 python-versions = ">=3.9"
 files = [
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+    {file = "numba-0.60.0.tar.gz", hash = "sha256:5df6158e5584eece5fc83294b949fd30b9f1125df7708862205217e068aabf16"},
 ]
 
 [package.dependencies]
-llvmlite = "==0.42.*"
-numpy = ">=1.22,<1.27"
+llvmlite = "==0.43.*"
+numpy = ">=1.22,<2.1"
 
 [[package]]
 name = "numpy"
@@ -3230,12 +3192,13 @@ files = [
 
 [[package]]
 name = "nvidia-cudnn-cu12"
-version = "8.9.2.26"
+version = "9.1.0.70"
 description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
 files = [
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 ]
 
 [package.dependencies]
@@ -3306,23 +3269,25 @@ files = [
 
 [[package]]
 name = "nvidia-nccl-cu12"
-version = "2.19.3"
+version = "2.20.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
 files = [
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 ]
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.5.40"
+version = "12.6.20"
 description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
 files = [
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 ]
 
 [[package]]
@@ -3354,13 +3319,13 @@ signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 
 [[package]]
 name = "oci"
-version = "2.128.1"
+version = "2.131.0"
 description = "Oracle Cloud Infrastructure Python SDK"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -3396,57 +3361,62 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "orjson"
-version = "3.10.4"
+version = "3.10.6"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [[package]]
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 ]
 
 [package.extras]
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 [[package]]
 name = "pyarrow"
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 description = "Python library for Apache Arrow"
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 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
 numpy = ">=1.16.6"
 
+[package.extras]
+test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
+
 [[package]]
 name = "pyarrow-hotfix"
 version = "0.6"
@@ -3926,109 +3911,122 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "2.7.3"
+version = "2.8.2"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
 annotated-types = ">=0.4.0"
-pydantic-core = "2.18.4"
-typing-extensions = ">=4.6.1"
+pydantic-core = "2.20.1"
+typing-extensions = [
+    {version = ">=4.6.1", markers = "python_version < \"3.13\""},
+    {version = ">=4.12.2", markers = "python_version >= \"3.13\""},
+]
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
 
 [[package]]
 name = "pydantic-core"
-version = "2.18.4"
+version = "2.20.1"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
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@@ -4072,13 +4070,13 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
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-version = "2.8.0"
+version = "2.9.0"
 description = "JSON Web Token implementation in Python"
 optional = false
-python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -4086,8 +4084,8 @@ cryptography = {version = ">=3.4.0", optional = true, markers = "extra == \"cryp
 
 [package.extras]
 crypto = ["cryptography (>=3.4.0)"]
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-docs = ["sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface"]
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+docs = ["sphinx", "sphinx-rtd-theme", "zope.interface"]
 tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
 [[package]]
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 [[package]]
 name = "pyopenssl"
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-cryptography = ">=41.0.5,<43"
+cryptography = ">=41.0.5,<44"
 
 [package.extras]
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 six = ">=1.5"
 
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-optional = false
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-
 [[package]]
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 [[package]]
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 [package.extras]
@@ -4446,112 +4458,112 @@ rpds-py = ">=0.7.0"
 
 [[package]]
 name = "regex"
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 description = "Alternative regular expression module, to replace re."
 optional = false
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 [[package]]
 name = "semantic-version"
@@ -5116,13 +5169,13 @@ files = [
 
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 [[package]]
 name = "setproctitle"
@@ -5266,18 +5319,19 @@ test = ["pytest"]
 
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 [[package]]
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 ]
 
 [package.dependencies]
@@ -5452,17 +5497,20 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7
 
 [[package]]
 name = "sympy"
-version = "1.12.1"
+version = "1.13.1"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
-mpmath = ">=1.1.0,<1.4.0"
+mpmath = ">=1.1.0,<1.4"
+
+[package.extras]
+dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
 
 [[package]]
 name = "tabulate"
@@ -5636,6 +5684,17 @@ dev = ["tokenizers[testing]"]
 docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
+[[package]]
+name = "tomlkit"
+version = "0.12.0"
+description = "Style preserving TOML library"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
 [[package]]
 name = "toolz"
 version = "0.12.1"
@@ -5649,36 +5708,31 @@ files = [
 
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 name = "torch"
-version = "2.2.2"
+version = "2.4.0"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
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 ]
 
 [package.dependencies]
@@ -5690,72 +5744,73 @@ nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linu
 nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cudnn-cu12 = {version = "9.1.0.70", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
-triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+triton = {version = "3.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
 opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.9.1)"]
+optree = ["optree (>=0.11.0)"]
 
 [[package]]
 name = "torchvision"
-version = "0.17.2"
+version = "0.19.0"
 description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
 numpy = "*"
 pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
-torch = "2.2.2"
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 [package.extras]
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 scipy = ["scipy"]
 
 [[package]]
 name = "tqdm"
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 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -5769,13 +5824,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.43.2"
+version = "4.44.0"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
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 ]
 
 [package.dependencies]
@@ -5800,10 +5855,10 @@ audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
@@ -5814,17 +5869,17 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
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 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
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+    {file = "wandb-0.17.6.tar.gz", hash = "sha256:416739f293d59b95bcb189ecbaeb19b3a74ff2b80d501a90b93e6b6f9435c017"},
 ]
 
 [package.dependencies]
@@ -6191,102 +6103,15 @@ setuptools = "*"
 aws = ["boto3"]
 azure = ["azure-identity", "azure-storage-blob"]
 gcp = ["google-cloud-storage"]
-importers = ["filelock", "mlflow", "polars", "rich", "tenacity"]
+importers = ["filelock", "mlflow", "polars (<=1.2.1)", "rich", "tenacity"]
 kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"]
-launch = ["awscli", "azure-containerregistry", "azure-identity", "azure-storage-blob", "boto3", "botocore", "chardet", "google-auth", "google-cloud-aiplatform", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "kubernetes", "kubernetes-asyncio", "nbconvert", "nbformat", "optuna", "pydantic", "pyyaml (>=6.0.0)", "tomli", "typing-extensions"]
+launch = ["awscli", "azure-containerregistry", "azure-identity", "azure-storage-blob", "boto3", "botocore", "chardet", "google-auth", "google-cloud-aiplatform", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "jsonschema", "kubernetes", "kubernetes-asyncio", "nbconvert", "nbformat", "optuna", "pydantic", "pyyaml (>=6.0.0)", "tomli", "typing-extensions"]
 media = ["bokeh", "moviepy", "numpy", "pillow", "plotly (>=5.18.0)", "rdkit-pypi", "soundfile"]
 models = ["cloudpickle"]
 perf = ["orjson"]
 sweeps = ["sweeps (>=0.2.0)"]
 workspaces = ["wandb-workspaces"]
 
-[[package]]
-name = "watchfiles"
-version = "0.22.0"
-description = "Simple, modern and high performance file watching and code reload in python."
-optional = false
-python-versions = ">=3.8"
-files = [
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-    {file = "watchfiles-0.22.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dc2e8fe41f3cac0660197d95216c42910c2b7e9c70d48e6d84e22f577d106fc1"},
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-    {file = "watchfiles-0.22.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28585744c931576e535860eaf3f2c0ec7deb68e3b9c5a85ca566d69d36d8dd27"},
-    {file = "watchfiles-0.22.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:00095dd368f73f8f1c3a7982a9801190cc88a2f3582dd395b289294f8975172b"},
-    {file = "watchfiles-0.22.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:52fc9b0dbf54d43301a19b236b4a4614e610605f95e8c3f0f65c3a456ffd7d35"},
-    {file = "watchfiles-0.22.0-cp312-none-win32.whl", hash = "sha256:581f0a051ba7bafd03e17127735d92f4d286af941dacf94bcf823b101366249e"},
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-    {file = "watchfiles-0.22.0-cp312-none-win_arm64.whl", hash = "sha256:c668228833c5619f6618699a2c12be057711b0ea6396aeaece4ded94184304ea"},
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-    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2abeb79209630da981f8ebca30a2c84b4c3516a214451bfc5f106723c5f45843"},
-    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4cc382083afba7918e32d5ef12321421ef43d685b9a67cc452a6e6e18920890e"},
-    {file = "watchfiles-0.22.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d048ad5d25b363ba1d19f92dcf29023988524bee6f9d952130b316c5802069cb"},
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-    {file = "watchfiles-0.22.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8fdebb655bb1ba0122402352b0a4254812717a017d2dc49372a1d47e24073795"},
-    {file = "watchfiles-0.22.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c8e0aa0e8cc2a43561e0184c0513e291ca891db13a269d8d47cb9841ced7c71"},
-    {file = "watchfiles-0.22.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:2f350cbaa4bb812314af5dab0eb8d538481e2e2279472890864547f3fe2281ed"},
-    {file = "watchfiles-0.22.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:7a74436c415843af2a769b36bf043b6ccbc0f8d784814ba3d42fc961cdb0a9dc"},
-    {file = "watchfiles-0.22.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:00ad0bcd399503a84cc688590cdffbe7a991691314dde5b57b3ed50a41319a31"},
-    {file = "watchfiles-0.22.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:72a44e9481afc7a5ee3291b09c419abab93b7e9c306c9ef9108cb76728ca58d2"},
-    {file = "watchfiles-0.22.0.tar.gz", hash = "sha256:988e981aaab4f3955209e7e28c7794acdb690be1efa7f16f8ea5aba7ffdadacb"},
-]
-
-[package.dependencies]
-anyio = ">=3.0.0"
-
 [[package]]
 name = "wcwidth"
 version = "0.2.13"
@@ -6696,4 +6521,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "d790cd25bda3d667cdafe935a78d7aaf82229194d40444fce67ba77f19c11469"
+content-hash = "19355156ac6d4f6d1928e56024f51bc20e3f5c8bf57321547f5a2384587218fb"
diff --git a/pyproject.toml b/pyproject.toml
index 449146dd..182e7426 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -9,13 +9,13 @@ readme = "README.md"
 
 [tool.poetry.dependencies]
 python = "^3.11"
-torch = "2.2.2"
+torch = ">=2.4"
 transformers = {version = ">=4.43.1", extras = ["torch"]}
 bitsandbytes = "~0.42.0"
 peft = "~0.11.1"
 simple-parsing = "~0.1.5"
 librosa = "~0.10.2.post1"
-requests = "~2.26.0"
+requests = "~2.31.0"
 datasets = "~2.19.1"
 mosaicml-streaming = "~0.7.6"
 nltk = "~3.8.1"
@@ -39,8 +39,8 @@ fsspec = "~2024.3.1"
 gcsfs = "~2024.3.1"
 sounddevice = "~0.4.7"
 mosaicml-cli = "~0.6.31"
-gradio-client = "~1.0.1"
-gradio = "~3.40.1"
+gradio-client = ">=0.16.1"
+gradio = ">=4.29.0"
 gpustat = "~1.1.1"
 types-requests = "~2.26.0"
 types-pyyaml = "^6.0.12.20240724"
diff --git a/ultravox/data/datasets.py b/ultravox/data/datasets.py
index 7458ae7c..596fe108 100644
--- a/ultravox/data/datasets.py
+++ b/ultravox/data/datasets.py
@@ -193,6 +193,9 @@ def __post_init__(self):
             ), f"Unexpected audio dtype: {self.audio.dtype}"
             assert self.audio.ndim == 1, f"Unexpected audio shape: {self.audio.shape}"
 
+    def add_past_messages(self, past_messages: List[Dict[str, str]]):
+        self.messages = past_messages + self.messages
+
     messages: List[Dict[str, str]]
     """List of messages, each with a "role" and "content" field."""
     audio: Optional[np.typing.NDArray[np.float32]] = None
diff --git a/ultravox/inference/infer.py b/ultravox/inference/infer.py
index a06a4e68..752b0c72 100644
--- a/ultravox/inference/infer.py
+++ b/ultravox/inference/infer.py
@@ -1,5 +1,6 @@
+import copy
 import threading
-from typing import Optional
+from typing import Dict, List, Optional, Tuple, Union
 
 import librosa
 import numpy as np
@@ -11,7 +12,7 @@
 from ultravox.model import ultravox_processing
 
 SAMPLE_RATE = 16000
-MAX_TOKENS = 1024
+MAX_NEW_TOKENS = 1024
 # Without this penalty, the model tends to repeat itself.
 REPETITION_PENALTY = 1.1
 
@@ -24,26 +25,70 @@ def __init__(
         tokenizer: transformers.PreTrainedTokenizer,
         device: str,
         dtype: torch.dtype,
+        conversation_mode: bool = False,
     ):
         self.model = model.to(device).to(dtype).eval()
         self.tokenizer = tokenizer
         self.processor = processor
         self.dtype = dtype
 
+        self.conversation_mode = conversation_mode
+        self.past_messages: List[Dict[str, str]] = []
+        self.past_key_values: Optional[Union[Tuple, transformers.cache_utils.Cache]] = (
+            None
+        )
+
+    def update_conversation(
+        self,
+        past_messages: List[Dict[str, str]] = [],
+        past_key_values: Optional[Union[Tuple, transformers.cache_utils.Cache]] = None,
+    ):
+        self.past_messages = past_messages
+        self.past_key_values = past_key_values
+
+    def _get_sample_with_past(
+        self, sample: datasets.VoiceSample
+    ) -> datasets.VoiceSample:
+        sample = copy.copy(sample)
+        sample.add_past_messages(self.past_messages)
+        return sample
+
     def infer(
         self,
         sample: datasets.VoiceSample,
         max_tokens: Optional[int] = None,
         temperature: Optional[float] = None,
     ) -> base.VoiceOutput:
-        inputs = self._dataproc(sample)
+        extended_sample = self._get_sample_with_past(sample)
+        inputs = self._dataproc(extended_sample)
         input_len = inputs["input_ids"].shape[1]
-        output = self._generate(inputs, max_tokens, temperature)
-        output_tokens = output[0][input_len:]
+        output = self._generate(
+            inputs, max_tokens, temperature, past_key_values=self.past_key_values
+        )
+        output_tokens = output.sequences[0][input_len:]
         output_text = self.tokenizer.decode(output_tokens, skip_special_tokens=True)
         output_len = len(output_tokens)
+
+        if self.conversation_mode:
+            past_messages = copy.deepcopy(extended_sample.messages)
+            audio_token_len = (
+                0 if "audio_token_len" not in inputs else inputs["audio_token_len"][0]
+            )
+            if audio_token_len > 0:
+                user_content = past_messages[-1]["content"]
+                if user_content.count("<|audio|>") != 1:
+                    raise ValueError(
+                        f"Expected 1 audio placeholder, found {user_content.count('<|audio|>')}"
+                    )
+                past_messages[-1]["content"] = user_content.replace(
+                    "<|audio|>", self.tokenizer.eos_token * audio_token_len
+                )
+            past_messages.append({"role": "assistant", "content": output_text})
+            self.update_conversation(past_messages, output.past_key_values)
+
         return base.VoiceOutput(output_text, input_len, output_len)
 
+    # streaming is not supported in conversation mode yet, to be implemented
     def infer_stream(
         self,
         sample: datasets.VoiceSample,
@@ -57,7 +102,12 @@ def infer_stream(
             self.tokenizer, skip_prompt=True, decode_kwargs=decode_kwargs
         )
 
-        thread_args = (inputs, max_tokens, temperature, streamer)
+        thread_args = (
+            inputs,
+            max_tokens,
+            temperature,
+            streamer,
+        )
         thread = threading.Thread(target=self._generate, args=thread_args)
         thread.start()
         output_tokens = 0
@@ -108,9 +158,10 @@ def _dataproc(self, sample: datasets.VoiceSample):
     def _generate(
         self,
         inputs: torch.Tensor,
-        max_tokens: Optional[int] = None,
+        max_new_tokens: Optional[int] = None,
         temperature: Optional[float] = None,
         streamer: Optional[transformers.TextStreamer] = None,
+        past_key_values: Optional[Union[Tuple, transformers.cache_utils.Cache]] = None,
     ):
         temperature = temperature or None
         do_sample = temperature is not None
@@ -122,10 +173,12 @@ def _generate(
         return self.model.generate(
             **inputs,
             do_sample=do_sample,
-            max_new_tokens=max_tokens or MAX_TOKENS,
+            max_new_tokens=max_new_tokens or MAX_NEW_TOKENS,
             temperature=temperature,
             repetition_penalty=REPETITION_PENALTY,
             pad_token_id=self.tokenizer.eos_token_id,
             eos_token_id=terminators,
             streamer=streamer,
+            past_key_values=past_key_values,
+            return_dict_in_generate=True,
         )
diff --git a/ultravox/inference/infer_test.py b/ultravox/inference/infer_test.py
index c597f42a..c9768937 100644
--- a/ultravox/inference/infer_test.py
+++ b/ultravox/inference/infer_test.py
@@ -35,10 +35,12 @@ def __init__(
     ):
         def fake_generate(**kwargs):
             input = kwargs.get("input_ids")
-            output = [range(25)]
+            output = transformers.generation.utils.GenerateDecoderOnlyOutput(
+                sequences=[range(25)]
+            )
             streamer = kwargs.get("streamer", None)
             if streamer:
-                for token in output[0][input.shape[1] :]:
+                for token in output.sequences[0][input.shape[1] :]:
                     streamer.on_finalized_text(tokenizer.decode(token))
                 streamer.on_finalized_text("", stream_end=True)
             return output
diff --git a/ultravox/inference/ultravox_infer.py b/ultravox/inference/ultravox_infer.py
index 8f6ad4a3..6765ece1 100644
--- a/ultravox/inference/ultravox_infer.py
+++ b/ultravox/inference/ultravox_infer.py
@@ -17,6 +17,7 @@ def __init__(
         tokenizer_id: Optional[str] = None,
         device: Optional[str] = None,
         data_type: Optional[str] = None,
+        conversation_mode: bool = False,
     ):
         """
         Args:
@@ -29,6 +30,7 @@ def __init__(
             tokenizer_id: model_id for the tokenizer to use. If not provided, it will be inferred
             device: where to put the model and data
             data_type: data type to use for the model
+            conversation_mode: if true, keep track of past messages in a conversation
         """
         device = device or utils.default_device()
         dtype = utils.get_dtype(data_type) if data_type else utils.default_dtype()
@@ -65,4 +67,5 @@ def __init__(
             tokenizer=tokenizer,
             device=device,
             dtype=dtype,
+            conversation_mode=conversation_mode,
         )
diff --git a/ultravox/model/ultravox_model.py b/ultravox/model/ultravox_model.py
index 79af0751..a6fa3445 100644
--- a/ultravox/model/ultravox_model.py
+++ b/ultravox/model/ultravox_model.py
@@ -237,6 +237,7 @@ def prepare_inputs_for_generation(
         past_key_values: Optional[Union[Tuple, transformers.cache_utils.Cache]] = None,
         attention_mask: Optional[torch.Tensor] = None,
         inputs_embeds: Optional[torch.Tensor] = None,
+        cache_position: Optional[torch.Tensor] = None,
         **kwargs,
     ) -> Dict[str, Any]:
         model_input = self.language_model.prepare_inputs_for_generation(
@@ -244,13 +245,22 @@ def prepare_inputs_for_generation(
             past_key_values=past_key_values,
             attention_mask=attention_mask,
             inputs_embeds=inputs_embeds,
+            cache_position=cache_position,
             **kwargs,
         )
 
-        if is_cache_empty(past_key_values) and audio_values is not None:
-            # We only want to use audio features in the 1st generation step
+        # include audio information in model_input only when it is needed during prefilling
+        # audio_token_start_idx should always be relative to the current cache position
+        prefill_start_idx = 0 if cache_position is None else cache_position[0]
+        if (
+            audio_values is not None
+            and audio_token_start_idx is not None
+            and prefill_start_idx <= torch.max(audio_token_start_idx)
+        ):
             model_input["audio_values"] = audio_values
-            model_input["audio_token_start_idx"] = audio_token_start_idx
+            model_input["audio_token_start_idx"] = (
+                audio_token_start_idx - prefill_start_idx
+            )
             model_input["audio_token_len"] = audio_token_len
 
         return model_input
diff --git a/ultravox/tools/gradio_demo.py b/ultravox/tools/gradio_demo.py
index cca7de3e..74d1e996 100644
--- a/ultravox/tools/gradio_demo.py
+++ b/ultravox/tools/gradio_demo.py
@@ -1,13 +1,18 @@
 from dataclasses import dataclass
-from typing import Tuple
+from typing import Optional
 
 import gradio as gr
-import numpy as np
 import simple_parsing
 
 from ultravox.data import datasets
 from ultravox.inference import ultravox_infer
 
+demo_instruction: str = """Enter your prompt here (audio will be inserted at the end or at <|audio|>).
+
+Text mode: Shift+Enter to submit.
+Voice mode: Click the recording button to start, then click again to stop and submit.
+"""
+
 
 @dataclass
 class DemoConfig:
@@ -15,28 +20,132 @@ class DemoConfig:
     #    fixie-ai/ultravox
     #    runs/llama2_asr_gigaspeech/checkpoint-1000/
     #    wandb://fixie/ultravox/model-llama2_asr_gigaspeech:v0
-    model_path: str = "fixie-ai/ultravox"
-    default_prompt: str = "Transcribe\n<|audio|>"
+    model_path: str = "fixie-ai/ultravox-v0_3"
+    device: Optional[str] = None
+    data_type: Optional[str] = None
+    default_prompt: str = ""
+    max_new_tokens: int = 200
+    temperature: float = 0
 
 
 def main():
     args = simple_parsing.parse(config_class=DemoConfig)
-    inference = ultravox_infer.UltravoxInference(args.model_path)
+    inference = ultravox_infer.UltravoxInference(
+        args.model_path,
+        device=args.device,
+        data_type=args.data_type,
+        conversation_mode=True,
+    )
 
-    def wrapper(text: str, audio: Tuple[int, np.ndarray]) -> str:
-        sample = datasets.VoiceSample.from_prompt_and_raw(text, audio[1], audio[0])
-        return inference.infer(sample, max_tokens=64).text
+    def add_text(chatbot: gr.Chatbot, text: str) -> gr.Chatbot:
+        return chatbot + [(text, None)]
 
-    inputs = [
-        gr.Textbox(label="Prompt", value=args.default_prompt),
-        gr.Audio(label="Audio", show_download_button=True),
-    ]
-    outputs = [gr.Textbox(label="Output")]
-    examples = [["Transcribe\n<|audio|>", "examples/test16.wav"]]
+    def add_audio(chatbot: gr.Chatbot, audio: str) -> gr.Chatbot:
+        return chatbot + [((audio,), None)]
 
-    gr.Interface(fn=wrapper, inputs=inputs, outputs=outputs, examples=examples).launch(
-        share=True
-    )
+    def process_turn(
+        chatbot: gr.Chatbot,
+        prompt: str,
+        audio: Optional[str] = None,
+        max_new_tokens: int = 200,
+        temperature: float = 0,
+    ):
+        # We want to keep the prompt (mixed audio/text instruction) as is in voice mode, but set it to "" in anticipation of new prompt in text mode.
+        prompt_to_return = prompt
+        if audio:
+            if "<|audio|>" not in prompt:
+                prompt += "<|audio|>"
+            sample = datasets.VoiceSample.from_prompt_and_file(prompt, audio)
+        else:
+            sample = datasets.VoiceSample.from_prompt(prompt)
+            prompt_to_return = ""
+
+        if len(sample.messages) != 1:
+            raise ValueError(
+                f"Expected exactly 1 message in sample but got {len(sample.messages)}"
+            )
+
+        output = inference.infer(
+            sample,
+            max_tokens=max_new_tokens,
+            temperature=temperature,
+        )
+
+        chatbot = chatbot + [(None, output.text)]
+        return chatbot, gr.update(value=prompt_to_return)
+
+    def process_text(chatbot, prompt, max_new_tokens, temperature):
+        return process_turn(
+            chatbot, prompt, max_new_tokens=max_new_tokens, temperature=temperature
+        )
+
+    def process_audio(chatbot, prompt, audio, max_new_tokens, temperature):
+        return process_turn(
+            chatbot,
+            prompt,
+            audio=audio,
+            max_new_tokens=max_new_tokens,
+            temperature=temperature,
+        )
+
+    def gradio_reset():
+        inference.update_conversation()
+        return [], "", None
+
+    with gr.Blocks() as demo:
+        chatbot = gr.Chatbot(scale=10, height=1000)
+
+        with gr.Row():
+            with gr.Column(scale=1):
+                reset = gr.Button("Reset")
+                audio = gr.Audio(
+                    label="🎤",
+                    sources=["microphone"],
+                    type="filepath",
+                    visible=True,
+                )
+            with gr.Column(scale=8):
+                prompt = gr.Textbox(
+                    show_label=False,
+                    lines=5,
+                    placeholder=demo_instruction,
+                    value=args.default_prompt,
+                    container=True,
+                )
+            with gr.Column(scale=1):
+                max_new_tokens = gr.Slider(
+                    minimum=50,
+                    maximum=2000,
+                    value=args.max_new_tokens,
+                    step=10,
+                    interactive=True,
+                    label="max_new_tokens",
+                )
+                temperature = gr.Slider(
+                    minimum=0,
+                    maximum=5.0,
+                    value=args.temperature,
+                    step=0.1,
+                    interactive=True,
+                    label="temperature",
+                )
+
+        prompt.submit(add_text, [chatbot, prompt], [chatbot], queue=False).then(
+            process_text,
+            [chatbot, prompt, max_new_tokens, temperature],
+            [chatbot, prompt],
+            queue=False,
+        )
+        audio.stop_recording(add_audio, [chatbot, audio], [chatbot], queue=False).then(
+            process_audio,
+            [chatbot, prompt, audio, max_new_tokens, temperature],
+            [chatbot, prompt],
+            queue=False,
+        )
+        reset.click(gradio_reset, [], [chatbot, prompt, audio], queue=False)
+        demo.load(gradio_reset, [], [chatbot, prompt, audio], queue=False)
+
+    demo.launch(share=True)
 
 
 if __name__ == "__main__":