From d3a5bfddcac58397cef074706d0261276b333091 Mon Sep 17 00:00:00 2001
From: Kenes Yerassyl <kenesyerassyl@gmail.com>
Date: Thu, 2 Apr 2026 11:34:35 +0900
Subject: [PATCH 1/2] bumped up numpy, librosa, made torch* optional

---
 pyproject.toml | 15 +++++++++------
 1 file changed, 9 insertions(+), 6 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 60e3e32..66d867e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "msclap"
-version = "1.3.3"
+version = "1.3.5"
 description = "CLAP (Contrastive Language-Audio Pretraining) is a model that learns acoustic concepts from natural language supervision and enables “Zero-Shot” inference. The model has been extensively evaluated in 26 audio downstream tasks achieving SoTA in several of them including classification, retrieval, and captioning."
 authors = ["Benjamin Elizalde", "Soham Deshmukh", "Huaming Wang"]
 license = "MIT"
@@ -11,17 +11,20 @@ packages = [
 
 [tool.poetry.dependencies]
 python = "^3.8"
-librosa = "^0.10.1"
-numpy = "^1.23.0"
+librosa = ">=0.11.0"
+numpy = ">=2.2.6"
 pandas = "^2.0.0"
-torch = "^2.1.0"
-torchaudio = "^2.1.0"
-torchlibrosa = "^0.1.0"
+torch = {version = ">=2.1.0", optional = true}
+torchaudio = {version = ">=2.1.0", optional = true}
+torchlibrosa = {version = "^0.1.0", optional = true}
 tqdm = "^4.66.1"
 transformers = "^4.34.0"
 pyyaml = "^6.0.1"
 scikit-learn = "^1.3.1"
 
+[tool.poetry.extras]
+torch = ["torch", "torchaudio", "torchlibrosa"]
+
 
 [build-system]
 requires = ["poetry-core"]

From e645069d08a667cdc7e40218c9d703d9283e29aa Mon Sep 17 00:00:00 2001
From: Kenes Yerassyl <kenesyerassyl@gmail.com>
Date: Thu, 2 Apr 2026 13:25:11 +0900
Subject: [PATCH 2/2] bumped up transformers

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 66d867e..a8a689b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,7 +18,7 @@ torch = {version = ">=2.1.0", optional = true}
 torchaudio = {version = ">=2.1.0", optional = true}
 torchlibrosa = {version = "^0.1.0", optional = true}
 tqdm = "^4.66.1"
-transformers = "^4.34.0"
+transformers = ">=4.34.0"
 pyyaml = "^6.0.1"
 scikit-learn = "^1.3.1"