🔨 Allow setting API keys from env

pyproject.toml

@@ -56,7 +56,7 @@ core = [
     "open-clip-torch>=2.23.0,<2.26.1",
 ]
 openvino = ["openvino>=2024.0", "nncf>=2.10.0", "onnx>=1.16.0"]
-vlm = ["ollama", "openai", "transformers"]
+vlm = ["ollama", "openai", "python-dotenv","transformers"]
 loggers = [
     "comet-ml>=3.31.7",
     "gradio>=4",

src/anomalib/models/image/vlm_ad/backends/chat_gpt.py

@@ -5,9 +5,12 @@
 
 import base64
 import logging
+import os
 from pathlib import Path
 from typing import TYPE_CHECKING
 
+from dotenv import load_dotenv
+
 from anomalib.models.image.vlm_ad.utils import Prompt
 from anomalib.utils.exceptions import try_import
 
@@ -27,12 +30,12 @@
 class ChatGPT(Backend):
     """ChatGPT backend."""
 
-    def __init__(self, api_key: str, model_name: str) -> None:
+    def __init__(self, model_name: str, api_key: str | None = None) -> None:
         """Initialize the ChatGPT backend."""
-        self.api_key = api_key
         self._ref_images_encoded: list[str] = []
         self.model_name: str = model_name
         self._client: OpenAI | None = None
+        self.api_key = self._get_api_key(api_key)
 
     @property
     def client(self) -> OpenAI:
@@ -86,3 +89,16 @@ def _encode_image_to_base_64(image: str | Path) -> str:
         """Encode the image to base64."""
         image = Path(image)
         return base64.b64encode(image.read_bytes()).decode("utf-8")
+
+    def _get_api_key(self, api_key: str | None = None) -> str:
+        if api_key is None:
+            load_dotenv()
+            api_key = os.getenv("OPENAI_API_KEY")
+        if api_key is None:
+            msg = (
+                f"OpenAI API key must be provided to use {self.model_name}."
+                " Please provide the API key in the constructor, or set the OPENAI_API_KEY environment variable"
+                " or in a `.env` file."
+            )
+            raise ValueError(msg)
+        return api_key

src/anomalib/models/image/vlm_ad/lightning_model.py

@@ -36,9 +36,6 @@ def _setup_vlm(model: VLMModel, api_key: str | None) -> Backend:
         if model == VLMModel.LLAMA_OLLAMA:
             return Ollama(model_name=model.value)
         if model == VLMModel.GPT_4O_MINI:
-            if api_key is None:
-                msg = f"ChatGPT API key is required to use {model.value} model."
-                raise ValueError(msg)
             return ChatGPT(api_key=api_key, model_name=model.value)
         if model in {VLMModel.VICUNA_7B_HF, VLMModel.VICUNA_13B_HF, VLMModel.MISTRAL_7B_HF}:
             return Huggingface(model_name=model.value)