[2025.1] Aligned python version on mac (#1988)

OV provider uses build with python 3.11 now, need to align this versions
on mac to be able to use post-commit artifacts

Author: mryzhov

.github/workflows/linux.yml

@@ -346,6 +346,7 @@ jobs:
       volumes:
         - /mount:/mount
         - ${{ github.workspace }}:${{ github.workspace }}
+      options: -e HF_TOKEN
 
     env:
       INSTALL_DIR: ${{ github.workspace }}/install
@@ -414,6 +415,7 @@ jobs:
       volumes:
         - /mount:/mount
         - ${{ github.workspace }}:${{ github.workspace }}
+      options: -e HF_TOKEN
 
     env:
       INSTALL_DIR: ${{ github.workspace }}/ov
@@ -468,6 +470,7 @@ jobs:
       volumes:
         - /mount:/mount
         - ${{ github.workspace }}:${{ github.workspace }}
+      options: -e HF_TOKEN
 
     env:
       OV_INSTALL_DIR: ${{ github.workspace }}/ov

.github/workflows/mac.yml

@@ -1,4 +1,4 @@
-name: macOS (13, Python 3.10)
+name: macOS (13, Python 3.11)
 on:
   workflow_dispatch:
   pull_request:
@@ -17,7 +17,7 @@ concurrency:
 
 env:
   MACOSX_DEPLOYMENT_TARGET: '11.0'
-  PYTHON_VERSION: '3.10'
+  PYTHON_VERSION: '3.11'
   TARGET_BRANCH: ${{ github.base_ref || github.event.merge_group.base_ref || github.ref }}
   CCACHE_MAXSIZE: 500Mi
 
@@ -55,7 +55,7 @@ jobs:
       matrix:
         build-type: [Release]
     needs: [ openvino_download ]
-    timeout-minutes: 20
+    timeout-minutes: 30
     defaults:
       run:
         shell: bash
@@ -133,7 +133,7 @@ jobs:
   genai_build_wheel:
     name: Build Wheel
     needs: [ openvino_download ]
-    timeout-minutes: 20
+    timeout-minutes: 30
     defaults:
       run:
         shell: bash

tests/python_tests/test_vlm_pipeline.py

@@ -68,7 +68,12 @@ def get_image_by_link(link):
     from openvino import Tensor
     import numpy as np
 
-    image = Image.open(requests.get(link, stream=True).raw)
+    try:
+        response = requests.get(link, stream=True)
+        response.raise_for_status()
+        image = Image.open(response.raw)
+    except (requests.RequestException, Image.UnidentifiedImageError) as e:
+        raise ValueError(f"Failed to load image from {link}: {e}")
     if image.mode != 'RGB':
         image = image.convert('RGB')
     image_data = np.array(image)