chore: update lisa-on-cuda to version 1.2.4, bump to version 1.3.4

poetry.lock

@@ -57,20 +57,6 @@ files = [
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-
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-
 [[package]]
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 version = "0.7.16"
@@ -839,92 +825,6 @@ ufo = ["fs (>=2.2.0,<3)"]
 unicode = ["unicodedata2 (>=15.1.0)"]
 woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
 
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-
 [[package]]
 name = "fsspec"
 version = "2024.6.1"
@@ -1019,13 +919,13 @@ timezone = ["pytz"]
 
 [[package]]
 name = "gradio"
-version = "4.21.0"
+version = "4.37.2"
 description = "Python library for easily interacting with trained machine learning models"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -1033,14 +933,14 @@ aiofiles = ">=22.0,<24.0"
 altair = ">=4.2.0,<6.0"
 fastapi = "*"
 ffmpy = "*"
-gradio-client = "0.12.0"
+gradio-client = "1.0.2"
 httpx = ">=0.24.1"
 huggingface-hub = ">=0.19.3"
 importlib-resources = ">=1.3,<7.0"
 jinja2 = "<4.0"
 markupsafe = ">=2.0,<3.0"
 matplotlib = ">=3.0,<4.0"
-numpy = ">=1.0,<2.0"
+numpy = ">=1.0,<3.0"
 orjson = ">=3.0,<4.0"
 packaging = "*"
 pandas = ">=1.0,<3.0"
@@ -1049,25 +949,26 @@ pydantic = ">=2.0"
 pydub = "*"
 python-multipart = ">=0.0.9"
 pyyaml = ">=5.0,<7.0"
-ruff = ">=0.2.2"
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 semantic-version = ">=2.0,<3.0"
 tomlkit = "0.12.0"
-typer = {version = ">=0.9,<1.0", extras = ["all"]}
+typer = {version = ">=0.12,<1.0", markers = "sys_platform != \"emscripten\""}
 typing-extensions = ">=4.0,<5.0"
-uvicorn = ">=0.14.0"
+urllib3 = ">=2.0,<3.0"
+uvicorn = {version = ">=0.14.0", markers = "sys_platform != \"emscripten\""}
 
 [package.extras]
 oauth = ["authlib", "itsdangerous"]
 
 [[package]]
 name = "gradio-client"
-version = "0.12.0"
+version = "1.0.2"
 description = "Python library for easily interacting with trained machine learning models"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1419,30 +1320,28 @@ files = [
 
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+version = "1.2.4"
 description = ""
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 python-versions = "<3.12,>=3.10"
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-gradio-client = ">=0.12.0,<0.13.0"
+gradio = ">=4.37.2,<5.0.0"
 markdown2 = ">=2.4.13,<3.0.0"
 nh3 = ">=0.2.15,<0.3.0"
 numpy = {version = "1.25.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}
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 opencv-python-headless = "4.8.1.78"
 packaging = ">=24.0,<25.0"
-peft = ">=0.9.0,<0.10.0"
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 pycocotools = ">=2.0.7,<3.0.0"
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 scipy = ">=1.11.4,<2.0.0"
 sentencepiece = ">=0.2.0,<0.3.0"
 shortuuid = ">=1.0.12,<2.0.0"
@@ -1707,71 +1606,6 @@ docs = ["sphinx"]
 gmpy = ["gmpy2 (>=2.1.0a4)"]
 tests = ["pytest (>=4.6)"]
 
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-
 [[package]]
 name = "myst-parser"
 version = "2.0.0"
@@ -2243,27 +2077,27 @@ test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
 xml = ["lxml (>=4.9.2)"]
 
 [[package]]
-name = "peft"
-version = "0.9.0"
+name = "peft-patched"
+version = "0.9.3"
 description = "Parameter-Efficient Fine-Tuning (PEFT)"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 [package.dependencies]
 accelerate = ">=0.21.0"
 huggingface-hub = ">=0.17.0"
-numpy = ">=1.17"
+numpy = ">=1.17,<2.0.0"
 packaging = ">=20.0"
 psutil = "*"
 pyyaml = "*"
 safetensors = "*"
 torch = ">=1.13.0"
 tqdm = "*"
-transformers = "*"
+transformers-backport = "4.31.2"
 
 [package.extras]
 dev = ["black", "hf-doc-builder", "ruff (>=0.2.1,<0.3.0)"]
@@ -2896,61 +2730,6 @@ plot = ["matplotlib"]
 s3 = ["boto3 (>=1.2.4)"]
 test = ["boto3 (>=1.2.4)", "hypothesis", "packaging", "pytest (>=2.8.2)", "pytest-cov (>=2.2.0)", "shapely"]
 
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-[package.dependencies]
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-serve-grpc = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "memray", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
-train = ["fsspec", "pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"]
-tune = ["fsspec", "pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"]
-
 [[package]]
 name = "referencing"
 version = "0.35.1"
@@ -4181,75 +3960,6 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
-[[package]]
-name = "transformers"
-version = "4.33.3"
-description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
-optional = false
-python-versions = ">=3.8.0"
-files = [
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-    {file = "transformers-4.33.3.tar.gz", hash = "sha256:8ea7c92310dee7c63b14766ce928218f7a9177960b2487ac018c91ae621af03e"},
-]
-
-[package.dependencies]
-filelock = "*"
-huggingface-hub = ">=0.15.1,<1.0"
-numpy = ">=1.17"
-packaging = ">=20.0"
-pyyaml = ">=5.1"
-regex = "!=2019.12.17"
-requests = "*"
-safetensors = ">=0.3.1"
-tokenizers = ">=0.11.1,<0.11.3 || >0.11.3,<0.14"
-tqdm = ">=4.27"
-
-[package.extras]
-accelerate = ["accelerate (>=0.20.3)"]
-agents = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.10,!=1.12.0)"]
-all = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
-audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
-codecarbon = ["codecarbon (==1.2.0)"]
-deepspeed = ["accelerate (>=0.20.3)", "deepspeed (>=0.9.3)"]
-deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "timeout-decorator"]
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-dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"]
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-flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"]
-flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
-ftfy = ["ftfy"]
-integrations = ["optuna", "ray[tune]", "sigopt"]
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-quality = ["GitPython (<3.1.19)", "black (>=23.1,<24.0)", "datasets (!=2.5.0)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (>=0.0.241,<=0.0.259)", "urllib3 (<2.0.0)"]
-ray = ["ray[tune]"]
-retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
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-sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
-serving = ["fastapi", "pydantic (<2)", "starlette", "uvicorn"]
-sigopt = ["sigopt"]
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-tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
-tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
-tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
-timm = ["timm"]
-tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
-torch = ["accelerate (>=0.20.3)", "torch (>=1.10,!=1.12.0)"]
-torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-torch-vision = ["Pillow (<10.0.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.15.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"]
-video = ["av (==9.2.0)", "decord (==0.6.0)"]
-vision = ["Pillow (<10.0.0)"]
-
 [[package]]
 name = "transformers-backport"
 version = "4.31.2"
@@ -4524,4 +4234,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = "~3.10"
-content-hash = "6b8a30dee3e3450267d99a8f49cf392c1f3f6b201e66b320f146c6862f4bf48e"
+content-hash = "fbfecbf6ba355e4fc7bb0ea3554e02e2c3aca156904b4d6e74be8fa3b9c76079"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "samgis-lisa-on-cuda"
-version = "1.3.3"
+version = "1.3.4"
 description = "A VLM backend for machine learning instance segmentation on geospatial data that uses LISA (Reasoning Segmentation via Large Language Model)."
 authors = ["alessandro trinca tornidor <alessandro@trinca.tornidor.com>"]
 license = "MIT license"
@@ -8,7 +8,7 @@ readme = "README.md"
 
 [metadata]
 name = "samgis-lisa-on-cuda"
-version = "1.3.3"
+version = "1.3.4"
 
 [tool.poetry.dependencies]
 bson = "^0.5.10"
@@ -23,7 +23,7 @@ python-dotenv = "^1.0.1"
 rasterio = "^1.3.9"
 requests = "^2.31.0"
 samgis-core = "1.2.1"
-lisa-on-cuda = "1.2.3"
+lisa-on-cuda = "1.2.4"
 
 [tool.poetry.group.aws_lambda]
 optional = true