diff --git a/pdm.lock b/pdm.lock
index 4f8daff..3231e79 100644
--- a/pdm.lock
+++ b/pdm.lock
@@ -5,7 +5,7 @@
 groups = ["default", "lint"]
 strategy = ["cross_platform", "inherit_metadata"]
 lock_version = "4.4.1"
-content_hash = "sha256:7d215f30e0476f0877daf5a94f0e69b867308538e34af0a816ea66190174b66c"
+cleacontent_hash = "sha256:eb6d4493bd8a7c026f5165067bceef366973ddf999669876a4a55fff8bf744e5"
 
 [[package]]
 name = "absl-py"
@@ -109,7 +109,7 @@ files = [
 
 [[package]]
 name = "anthropic"
-version = "0.31.0"
+version = "0.25.9"
 requires_python = ">=3.7"
 summary = "The official Python library for the anthropic API"
 groups = ["default"]
@@ -117,15 +117,14 @@ dependencies = [
     "anyio<5,>=3.5.0",
     "distro<2,>=1.7.0",
     "httpx<1,>=0.23.0",
-    "jiter<1,>=0.4.0",
     "pydantic<3,>=1.9.0",
     "sniffio",
     "tokenizers>=0.13.0",
     "typing-extensions<5,>=4.7",
 ]
 files = [
-    {file = "anthropic-0.31.0-py3-none-any.whl", hash = "sha256:77f7a428e1723b79a571c2427ae885d9257c68f700726dff7ce684c3972d6598"},
-    {file = "anthropic-0.31.0.tar.gz", hash = "sha256:14f8f65231859a65ec9aacbbea070e412c8bd41a5d3f36793dac4292c3c78d3a"},
+    {file = "anthropic-0.25.9-py3-none-any.whl", hash = "sha256:d0b17d442160356a531593b237de55d3125cc6fa708f1268c214107e61c81c57"},
+    {file = "anthropic-0.25.9.tar.gz", hash = "sha256:a4ec810b1cfbf3340af99b6f5bf599a83d66986e0f572a5f3bc4ebcab284f629"},
 ]
 
 [[package]]
@@ -968,7 +967,7 @@ files = [
 
 [[package]]
 name = "gradio"
-version = "4.37.2"
+version = "4.31.3"
 requires_python = ">=3.8"
 summary = "Python library for easily interacting with trained machine learning models"
 groups = ["default"]
@@ -977,14 +976,14 @@ dependencies = [
     "altair<6.0,>=4.2.0",
     "fastapi",
     "ffmpy",
-    "gradio-client==1.0.2",
+    "gradio-client==0.16.3",
     "httpx>=0.24.1",
     "huggingface-hub>=0.19.3",
     "importlib-resources<7.0,>=1.3",
     "jinja2<4.0",
     "markupsafe~=2.0",
     "matplotlib~=3.0",
-    "numpy<3.0,>=1.0",
+    "numpy~=1.0",
     "orjson~=3.0",
     "packaging",
     "pandas<3.0,>=1.0",
@@ -1002,13 +1001,13 @@ dependencies = [
     "uvicorn>=0.14.0; sys_platform != \"emscripten\"",
 ]
 files = [
-    {file = "gradio-4.37.2-py3-none-any.whl", hash = "sha256:dede8c9429fe9d543f3516b0bb1fc3efa4c34a6ef34635cf8adf3f524a5d615a"},
-    {file = "gradio-4.37.2.tar.gz", hash = "sha256:94132754ad402c91fd12367c5a57fcced34004ba7b4b256cef96457968346a08"},
+    {file = "gradio-4.31.3-py3-none-any.whl", hash = "sha256:5b98caaf5515614e0caca0c54e932a66039b7af9e980621331472b7bfacda9ca"},
+    {file = "gradio-4.31.3.tar.gz", hash = "sha256:e1c62551d30861a456c4122e3809b09129a7587e18c08305d2eb8c3e789eca38"},
 ]
 
 [[package]]
 name = "gradio-client"
-version = "1.0.2"
+version = "0.16.3"
 requires_python = ">=3.8"
 summary = "Python library for easily interacting with trained machine learning models"
 groups = ["default"]
@@ -1021,8 +1020,8 @@ dependencies = [
     "websockets<12.0,>=10.0",
 ]
 files = [
-    {file = "gradio_client-1.0.2-py3-none-any.whl", hash = "sha256:f0af3fc39e7459b0703e6b3e9d59b6f7db0f2353b3f5e162a01d94d3bfcd5d97"},
-    {file = "gradio_client-1.0.2.tar.gz", hash = "sha256:3c88136ff64eb9747342efdc706f378ce863396750b463f27e5e114e47052b68"},
+    {file = "gradio_client-0.16.3-py3-none-any.whl", hash = "sha256:faba47cfd3c742bf7e454166ecd7e82de09a77c5798e35f1ffa97b2af8747dab"},
+    {file = "gradio_client-0.16.3.tar.gz", hash = "sha256:e35a9b36e67fe57fce932aa08f759c3ec6c8a7fa9faee3b169d74a2acc347454"},
 ]
 
 [[package]]
@@ -1341,28 +1340,6 @@ files = [
     {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
 ]
 
-[[package]]
-name = "jiter"
-version = "0.5.0"
-requires_python = ">=3.8"
-summary = "Fast iterable JSON parser."
-groups = ["default"]
-files = [
-    {file = "jiter-0.5.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b599f4e89b3def9a94091e6ee52e1d7ad7bc33e238ebb9c4c63f211d74822c3f"},
-    {file = "jiter-0.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2a063f71c4b06225543dddadbe09d203dc0c95ba352d8b85f1221173480a71d5"},
-    {file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:acc0d5b8b3dd12e91dd184b87273f864b363dfabc90ef29a1092d269f18c7e28"},
-    {file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c22541f0b672f4d741382a97c65609332a783501551445ab2df137ada01e019e"},
-    {file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:63314832e302cc10d8dfbda0333a384bf4bcfce80d65fe99b0f3c0da8945a91a"},
-    {file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a25fbd8a5a58061e433d6fae6d5298777c0814a8bcefa1e5ecfff20c594bd749"},
-    {file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:503b2c27d87dfff5ab717a8200fbbcf4714516c9d85558048b1fc14d2de7d8dc"},
-    {file = "jiter-0.5.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6d1f3d27cce923713933a844872d213d244e09b53ec99b7a7fdf73d543529d6d"},
-    {file = "jiter-0.5.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:c95980207b3998f2c3b3098f357994d3fd7661121f30669ca7cb945f09510a87"},
-    {file = "jiter-0.5.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:afa66939d834b0ce063f57d9895e8036ffc41c4bd90e4a99631e5f261d9b518e"},
-    {file = "jiter-0.5.0-cp310-none-win32.whl", hash = "sha256:f16ca8f10e62f25fd81d5310e852df6649af17824146ca74647a018424ddeccf"},
-    {file = "jiter-0.5.0-cp310-none-win_amd64.whl", hash = "sha256:b2950e4798e82dd9176935ef6a55cf6a448b5c71515a556da3f6b811a7844f1e"},
-    {file = "jiter-0.5.0.tar.gz", hash = "sha256:1d916ba875bcab5c5f7d927df998c4cb694d27dceddf3392e58beaf10563368a"},
-]
-
 [[package]]
 name = "joblib"
 version = "1.4.2"
@@ -1859,22 +1836,23 @@ files = [
 
 [[package]]
 name = "numpy"
-version = "1.25.0"
+version = "1.26.4"
 requires_python = ">=3.9"
 summary = "Fundamental package for array computing in Python"
 groups = ["default"]
 files = [
-    {file = "numpy-1.25.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8aa130c3042052d656751df5e81f6d61edff3e289b5994edcf77f54118a8d9f4"},
-    {file = "numpy-1.25.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e3f2b96e3b63c978bc29daaa3700c028fe3f049ea3031b58aa33fe2a5809d24"},
-    {file = "numpy-1.25.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6b267f349a99d3908b56645eebf340cb58f01bd1e773b4eea1a905b3f0e4208"},
-    {file = "numpy-1.25.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4aedd08f15d3045a4e9c648f1e04daca2ab1044256959f1f95aafeeb3d794c16"},
-    {file = "numpy-1.25.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:6d183b5c58513f74225c376643234c369468e02947b47942eacbb23c1671f25d"},
-    {file = "numpy-1.25.0-cp310-cp310-win32.whl", hash = "sha256:d76a84998c51b8b68b40448ddd02bd1081bb33abcdc28beee6cd284fe11036c6"},
-    {file = "numpy-1.25.0-cp310-cp310-win_amd64.whl", hash = "sha256:c0dc071017bc00abb7d7201bac06fa80333c6314477b3d10b52b58fa6a6e38f6"},
-    {file = "numpy-1.25.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5b1b90860bf7d8a8c313b372d4f27343a54f415b20fb69dd601b7efe1029c91e"},
-    {file = "numpy-1.25.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85cdae87d8c136fd4da4dad1e48064d700f63e923d5af6c8c782ac0df8044542"},
-    {file = "numpy-1.25.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:cc3fda2b36482891db1060f00f881c77f9423eead4c3579629940a3e12095fe8"},
-    {file = "numpy-1.25.0.tar.gz", hash = "sha256:f1accae9a28dc3cda46a91de86acf69de0d1b5f4edd44a9b0c3ceb8036dfff19"},
+    {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
+    {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
+    {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4"},
+    {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f"},
+    {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a"},
+    {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2"},
+    {file = "numpy-1.26.4-cp310-cp310-win32.whl", hash = "sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07"},
+    {file = "numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0"},
+    {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
 ]
 
 [[package]]
@@ -2044,7 +2022,7 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.35.13"
+version = "1.30.1"
 requires_python = ">=3.7.1"
 summary = "The official Python library for the openai API"
 groups = ["default"]
@@ -2058,8 +2036,8 @@ dependencies = [
     "typing-extensions<5,>=4.7",
 ]
 files = [
-    {file = "openai-1.35.13-py3-none-any.whl", hash = "sha256:36ec3e93e0d1f243f69be85c89b9221a471c3e450dfd9df16c9829e3cdf63e60"},
-    {file = "openai-1.35.13.tar.gz", hash = "sha256:c684f3945608baf7d2dcc0ef3ee6f3e27e4c66f21076df0b47be45d57e6ae6e4"},
+    {file = "openai-1.30.1-py3-none-any.whl", hash = "sha256:c9fb3c3545c118bbce8deb824397b9433a66d0d0ede6a96f7009c95b76de4a46"},
+    {file = "openai-1.30.1.tar.gz", hash = "sha256:4f85190e577cba0b066e1950b8eb9b11d25bc7ebcc43a86b326ce1bfa564ec74"},
 ]
 
 [[package]]
@@ -2126,23 +2104,25 @@ files = [
 
 [[package]]
 name = "pandas"
-version = "1.5.3"
-requires_python = ">=3.8"
+version = "2.2.2"
+requires_python = ">=3.9"
 summary = "Powerful data structures for data analysis, time series, and statistics"
 groups = ["default"]
 dependencies = [
-    "numpy>=1.21.0; python_version >= \"3.10\"",
-    "python-dateutil>=2.8.1",
+    "numpy>=1.22.4; python_version < \"3.11\"",
+    "python-dateutil>=2.8.2",
     "pytz>=2020.1",
+    "tzdata>=2022.7",
 ]
 files = [
-    {file = "pandas-1.5.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3749077d86e3a2f0ed51367f30bf5b82e131cc0f14260c4d3e499186fccc4406"},
-    {file = "pandas-1.5.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:972d8a45395f2a2d26733eb8d0f629b2f90bebe8e8eddbb8829b180c09639572"},
-    {file = "pandas-1.5.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:50869a35cbb0f2e0cd5ec04b191e7b12ed688874bd05dd777c19b28cbea90996"},
-    {file = "pandas-1.5.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c3ac844a0fe00bfaeb2c9b51ab1424e5c8744f89860b138434a363b1f620f354"},
-    {file = "pandas-1.5.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a0a56cef15fd1586726dace5616db75ebcfec9179a3a55e78f72c5639fa2a23"},
-    {file = "pandas-1.5.3-cp310-cp310-win_amd64.whl", hash = "sha256:478ff646ca42b20376e4ed3fa2e8d7341e8a63105586efe54fa2508ee087f328"},
-    {file = "pandas-1.5.3.tar.gz", hash = "sha256:74a3fd7e5a7ec052f183273dc7b0acd3a863edf7520f5d3a1765c04ffdb3b0b1"},
+    {file = "pandas-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce"},
+    {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"},
+    {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4abfe0be0d7221be4f12552995e58723c7422c80a659da13ca382697de830c08"},
+    {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8635c16bf3d99040fdf3ca3db669a7250ddf49c55dc4aa8fe0ae0fa8d6dcc1f0"},
+    {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:40ae1dffb3967a52203105a077415a86044a2bea011b5f321c6aa64b379a3f51"},
+    {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8e5a0b00e1e56a842f922e7fae8ae4077aee4af0acb5ae3622bd4b4c30aedf99"},
+    {file = "pandas-2.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:ddf818e4e6c7c6f4f7c8a12709696d193976b591cc7dc50588d3d1a6b5dc8772"},
+    {file = "pandas-2.2.2.tar.gz", hash = "sha256:9e79019aba43cb4fda9e4d983f8e88ca0373adbb697ae9c6c43093218de28b54"},
 ]
 
 [[package]]
@@ -3419,7 +3399,7 @@ files = [
 
 [[package]]
 name = "torch"
-version = "2.3.1+cu118"
+version = "2.3.1"
 requires_python = ">=3.8.0"
 summary = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 groups = ["default"]
@@ -3596,7 +3576,6 @@ version = "2024.1"
 requires_python = ">=2"
 summary = "Provider of IANA time zone data"
 groups = ["default"]
-marker = "platform_system == \"Windows\""
 files = [
     {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
     {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
diff --git a/pyproject.toml b/pyproject.toml
index 3c679db..8061f98 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,24 +6,24 @@ authors = [
     {name = "Paillat", email = "me@paillat.dev"},
 ]
 dependencies = [
-    "anthropic>=0.25.9",
+    "anthropic==0.25.9",
     "google-api-python-client==2.48.0",
     "google-auth-oauthlib==1.2.0",
-    "gradio>=4.31.3",
-    "openai>=1.30.1",
+    "gradio==4.31.3",
+    "openai==1.30.1",
     "orjson==3.10.3",
     "python-dotenv==1.0.1",
     "PyYAML==6.0.1",
     "SQLAlchemy==2.0.29",
-    "whisper-timestamped>=1.15.4",
+    "whisper-timestamped==1.15.4",
     "moviepy @ git+https://github.com/OsaAjani/moviepy.git",
     "tiktok-uploader @ git+https://github.com/Paillat-dev/tiktok-uploader.git",
     "yt-dlp[default]==2023.11.16",
     "fix-busted-json==0.0.18",
-    "Google-Images-Search>=1.4.7",
-    "requests>=2.32.3",
+    "Google-Images-Search==1.4.7",
+    "requests==2.32.3",
     "windows-curses==2.3.2; platform_system  == 'Windows'",
-    "coqui-tts>=0.24.1",
+    "coqui-tts==0.24.1",
 ]
 
 requires-python = "==3.10.*"
@@ -32,8 +32,8 @@ license = {text = "AGPL-3.0"}
 
 
 [tool.pdm.resolution.overrides]
-numpy = "==1.25.0"
-typer = "<1.0,>=0.12.0"
+#numpy = "==1.25.0"
+#typer = "<1.0,>=0.12.0"
 
 [tool.pdm]
 distribution = false