chore: update samgis-lisa == 1.0.5 to avoid a CUDA init RuntimeError

app.py

@@ -143,7 +143,7 @@ def infer_lisa_gradio(request_input: StringPromptApiRequestBody) -> str:
             output = lisa.lisa_predict(
                 bbox=body_request["bbox"], prompt=body_request["prompt"], zoom=body_request["zoom"],
                 source=source, source_name=source_name, inference_function_name_key=LISA_INFERENCE_FN,
-                inference_decorator=spaces.GPU
+                inference_decorator=spaces.GPU, device_map="cpu"
             )
             duration_run = time.time() - time_start_run
             app_logger.info(f"duration_run:{duration_run}.")

poetry.lock

@@ -1300,13 +1300,13 @@ files = [
 
 [[package]]
 name = "lisa-on-cuda"
-version = "1.4.4"
+version = "1.4.5"
 description = "LISA (Reasoning Segmentation via Large Language Model) on cuda, now with huggingface ZeroGPU support!"
 optional = false
 python-versions = "<3.12,>=3.10"
 files = [
-    {file = "lisa_on_cuda-1.4.4-py3-none-any.whl", hash = "sha256:5d052e7531514ffb260d4c2fb9c13a37d06fc7657d8635ff9a0b1f74bba01e5d"},
-    {file = "lisa_on_cuda-1.4.4.tar.gz", hash = "sha256:f743e05c985af36cd63cbafb2fbebbc4ff69f267792b733166c824f425f410f2"},
+    {file = "lisa_on_cuda-1.4.5-py3-none-any.whl", hash = "sha256:80008e59897483bc94c7eb07912a3d24b2a29411c12dbe4893580ed37737196f"},
+    {file = "lisa_on_cuda-1.4.5.tar.gz", hash = "sha256:f2e7a8af2b167bc28eab0ed72a2bd91d9bb6297647f907683256df3e5026abb4"},
 ]
 
 [package.dependencies]
@@ -2948,18 +2948,18 @@ structlog = ">=24.4.0,<25.0.0"
 
 [[package]]
 name = "samgis-lisa"
-version = "1.0.3"
+version = "1.0.5"
 description = "SamGIS LISA"
 optional = false
 python-versions = "<3.11,>=3.10"
 files = [
-    {file = "samgis_lisa-1.0.3-py3-none-any.whl", hash = "sha256:23bd6349087af3ef41e4e23bdab1df9c685dd83d881fc63226883d71b27c32bd"},
-    {file = "samgis_lisa-1.0.3.tar.gz", hash = "sha256:9cbb58bd075512b8164bf85714432d53f455f7fd8d5a480367f019d894cf16fa"},
+    {file = "samgis_lisa-1.0.5-py3-none-any.whl", hash = "sha256:2c27aeb266676892f5748d1fcbd0886861dac9df127baa997265e8377fefebf9"},
+    {file = "samgis_lisa-1.0.5.tar.gz", hash = "sha256:a3d239cd66b73c8907bd5ed7a3538c19ca1c280346e700c8982b31538632c158"},
 ]
 
 [package.dependencies]
 gradio = "4.44.0"
-lisa-on-cuda = "1.4.4"
+lisa-on-cuda = "1.4.5"
 samgis-web = "1.0.14"
 
 [[package]]
@@ -3927,4 +3927,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.11"
-content-hash = "705ac5fb3c810f43f54a7af8ef2b7a0ffee523a975464d4af1bd75932f5c45d9"
+content-hash = "49ea508c8c47d6830bb6a1a7ad336c6e855440c552acd23c7698ef16e8d9004d"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "samgis-lisa-on-zero"
-version = "1.5.2"
+version = "1.5.3"
 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 <[email protected]>"]
 license = "MIT license"
@@ -9,11 +9,11 @@ package-mode = false
 
 [metadata]
 name = "samgis-lisa-on-zero"
-version = "1.5.2"
+version = "1.5.3"
 
 [tool.poetry.dependencies]
 python = ">=3.10,<3.11"
-samgis-lisa = "1.0.3"
+samgis-lisa = "1.0.5"
 
 [tool.poetry.group.test]
 optional = true

requirements.txt

@@ -1 +1 @@
-samgis-lisa==1.0.1
+samgis-lisa==1.0.5