Numpy 2 support

.github/workflows/pr_qc.yml

@@ -12,7 +12,7 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v5
         with:
-          python-version: 3.11
+          python-version: 3.13
       - name: Run qa
         run: |
           make dev

.github/workflows/publish_pypi.yaml

@@ -0,0 +1,17 @@
+name: Publish to Guardrails Hub
+
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+
+jobs:
+  setup:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Build & Deploy
+        uses: guardrails-ai/guardrails/.github/actions/validator_pypi_publish@main
+        with:
+          guardrails_token: ${{ secrets.PRIV_PYPI_PUBLISH_TOKEN }}
+          validator_id: guardrails/competitor_check

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "competitor_check"
-version = "0.0.1"
+version = "0.0.2"
 description = "Validates that LLM-generated text is not naming any competitors from a given list."
 authors = [
     {name = "Guardrails AI", email = "contact@guardrailsai.com"}
@@ -11,7 +11,7 @@ requires-python = ">= 3.8.1"
 dependencies = [
     "nltk",
     "spacy",
-    "numpy<2.0",  # When spacy starts to support numpy >= 2.0, we can remove this pin.
+    "numpy",
     "guardrails-ai>=0.4.0"
 ]
 

validator/main.py

@@ -193,7 +193,7 @@ def _inference_remote(self, model_input: Any) -> List[List[str]]:
                 }
             ]
         }
-        response = self._hub_inference_request(json.dumps(request_body), self.validation_endpoint)
+        response = self._hub_inference_request(json.dumps(request_body), self.validation_endpoint)  # type: ignore
 
         if not response or "outputs" not in response:
             raise ValueError("Invalid response from remote inference", response)

validator/post-install.py

@@ -1,9 +1,9 @@
-import nltk
+import nltk  # noqa
 import spacy
 
 def load_nltk_data():
     import re
-    import nltk
+    import nltk  # noqa
     from importlib.metadata import version
 
     nltk_version = version("nltk")