Uv conversion additional samples GettingStarted, Features, End-to-End

AI-and-Analytics/End-to-end-Workloads/JobRecommendationSystem/JobRecommendationSystem.py

@@ -476,6 +476,7 @@ def lemmatize_text(text):
 print(model_itex.summary())
 
 # %%
+import numpy as np
 X_final = np.array(embedded_docs)
 y_final = np.array(y)
 
@@ -578,7 +579,6 @@ def lemmatize_text(text):
 # Now, we are preparing functions to show similarities between given sentences in the for of heat map. 
 
 # %%
-import numpy as np
 import seaborn as sns
 
 def plot_similarity(labels, features, rotation):

AI-and-Analytics/End-to-end-Workloads/JobRecommendationSystem/pyproject.toml

@@ -0,0 +1,33 @@
+[project]
+name = "jobrecommendationsystem"
+version = "0.1.0"
+description = "This sample illustrates the use of Intel® Extension for TensorFlow* to build and run an end-to-end AI workload on the example of the job recommendation system"
+authors = [
+    {name = "Copyright © 2020 Intel Corporation"}
+]
+license = {text = "MIT"}
+readme = "README.md"
+requires-python = ">=3.11, <3.12"
+dependencies = [
+    "accelerate>=1.4.0",
+    "datasets>=3.3.2",
+    "intel-extension-for-tensorflow>=2.15.0.2",
+    "intel-extension-for-tensorflow-lib>=2.15.0.2.2",
+    "jinja2>=3.1.6",
+    "matplotlib>=3.10.1",
+    "nltk>=3.9.1",
+    "pip>=25.0.1",
+    "seaborn>=0.13.2",
+    "sentence-transformers>=3.4.1",
+    "spacy>=3.8.4",
+    "transformers>=4.49.0",
+    "wordcloud>=1.9.4",
+]
+[dependency-groups]
+dev = [
+    "jupyter>=1.1.1",
+]
+[[tool.uv.index]]
+url = "https://software.repos.intel.com/python/pypi"
+
+

AI-and-Analytics/End-to-end-Workloads/JobRecommendationSystem/sample.json

@@ -11,16 +11,16 @@
   "ciTests": {
   	"linux": [
       {
-        "env": [],
+        "env": [
+          "pip install uv==0.6.3",
+          "source /opt/intel/oneapi/setvars.sh",
+          "uv sync"
+        ],
         "id": "JobRecommendationSystem_py",
         "steps": [
-          "source /intel/oneapi/intelpython/bin/activate",
-          "conda env remove -n user_tensorflow-gpu",
-          "conda create --name user_tensorflow-gpu --clone tensorflow-gpu",
-          "conda activate user_tensorflow-gpu",
-          "pip install -r requirements.txt",
-          "python -m ipykernel install --user --name=user_tensorflow-gpu",
-          "python JobRecommendationSystem.py"
+          "uv run spacy download en_core_web_sm",
+          "uv run JobRecommendationSystem.py",
+          "uv run jupyter nbconvert --ExecutePreprocessor.enabled=True --to notebook JobRecommendationSystem.ipynb"
         ]
       }
     ]