Updated onnx for all projects (#157)

ai_ref_kits/agentic_llm_rag/requirements.txt

@@ -13,7 +13,8 @@ llama-index-vector-stores-faiss==0.3.0
 faiss-cpu==1.9.0
 
 # onnx>1.16.1 doesn't work on windows
-onnx==1.16.1
+onnx==1.16.1; platform_system == "Windows"
+onnx==1.17.0; platform_system != "Windows"
 onnxruntime==1.17.3
 torch==2.5.1
 

ai_ref_kits/automated_self_checkout/requirements.txt

@@ -1,7 +1,9 @@
 openvino-dev==2023.0.0
 nncf==2.5.0
 ultralytics==8.0.117
-onnx==1.16.0
+# onnx>1.16.1 doesn't work on windows
+onnx==1.16.1; platform_system == "Windows"
+onnx==1.17.0; platform_system != "Windows"
 supervision==0.16.0
 jupyterlab==4.2.5
 pycocotools==2.0.6

ai_ref_kits/conversational_ai_chatbot/README.md

@@ -189,10 +189,10 @@ For the python script, you must include the following model directory arguments.
 
 - `--reranker_model path/to/reranker_model`: The path to your reranker model directory (for example, `model/bge-reranker-large-FP32`). This model reranks responses to ensure relevance and accuracy.
 
-- `--personality path/to/personality.yaml`: The path to your custom personality YAML file (for example, `concierge_personality.yaml`).  
+- `--personality path/to/personality.yaml`: The path to your custom personality YAML file (for example, `config/concierge_personality.yaml`).  
 This file defines the assistant's personality, including instructions, system configuration, and greeting prompts. You can create and specify your own custom personality file.
 
-- `--example_pdf path/to/personality.yaml`: The path to your custom PDF file which is an additional context (for example, `Grand_Azure_Resort_Spa_Full_Guide.pdf`).  
+- `--example_pdf path/to/personality.yaml`: The path to your custom PDF file which is an additional context (for example, `data/Grand_Azure_Resort_Spa_Full_Guide.pdf`).  
 This file defines the knowledge of the resort in this concierge use case. You can use your own custom file to build a local knowledge base.
 
 - `--public`: Include this flag to make the Gradio interface publicly accessible over the network. Without this flag, the interface is only available on your local machine.
@@ -204,8 +204,8 @@ python app.py \
   --chat_model path/to/chat_model \
   --embedding_model path/to/embedding_model \
   --reranker_model path/to/reranker_model \
-  --personality concierge_personality.yaml \
-  --example_pdf Grand_Azure_Resort_Spa_Full_Guide.pdf \
+  --personality config/concierge_personality.yaml \
+  --example_pdf data/Grand_Azure_Resort_Spa_Full_Guide.pdf \
   --public
 ```
 

ai_ref_kits/conversational_ai_chatbot/app.py

@@ -465,8 +465,8 @@ def run(asr_model_dir: Path, chat_model_dir: Path, embedding_model_dir: Path, re
     parser.add_argument("--chat_model", type=str, default="model/llama3.1-8B-INT4", help="Path to the chat model directory")
     parser.add_argument("--embedding_model", type=str, default="model/bge-small-FP32", help="Path to the embedding model directory")
     parser.add_argument("--reranker_model", type=str, default="model/bge-reranker-large-FP32", help="Path to the reranker model directory")
-    parser.add_argument("--personality", type=str, default="concierge_personality.yaml", help="Path to the YAML file with chatbot personality")
-    parser.add_argument("--example_pdf", type=str, default="Grand_Azure_Resort_Spa_Full_Guide.pdf", help="Path to the PDF file which is an additional context")
+    parser.add_argument("--personality", type=str, default="config/concierge_personality.yaml", help="Path to the YAML file with chatbot personality")
+    parser.add_argument("--example_pdf", type=str, default="data/Grand_Azure_Resort_Spa_Full_Guide.pdf", help="Path to the PDF file which is an additional context")
     parser.add_argument("--public", default=False, action="store_true", help="Whether interface should be available publicly")
 
     args = parser.parse_args()

ai_ref_kits/conversational_ai_chatbot/requirements.txt

@@ -14,7 +14,8 @@ langchain-text-splitters==0.3.4
 faiss-cpu==1.9.0
 
 # onnx>1.16.1 doesn't work on windows
-onnx==1.16.1
+onnx==1.16.1; platform_system == "Windows"
+onnx==1.17.0; platform_system != "Windows"
 onnxruntime==1.17.3
 torch==2.5.1
 torchaudio==2.5.1

ai_ref_kits/multimodal_ai_visual_generator/README.md

@@ -84,7 +84,7 @@ Next, you’ll download and optimize the required models. This will involve the
 ```shell
 python3 -m venv model_installation_venv
 source model_installation_venv/bin/activate
-pip install -r python3.12_requirements_model_installation.txt
+pip install -r requirements.txt
 python3 download_and_prepare_models.py
 ``` 
 After model installation, you can remove the `model_installation_venv` virtual environment as it is no longer needed.

ai_ref_kits/multimodal_ai_visual_generator/python3.12_requirements.txt → ai_ref_kits/multimodal_ai_visual_generator/requirements.txt

@@ -11,7 +11,9 @@ openai-whisper==20240930
 # deep learning frameworks
 tensorflow==2.17.0
 
-onnx==1.16.1
+# onnx>1.16.1 doesn't work on windows
+onnx==1.16.1; platform_system == "Windows"
+onnx==1.17.0; platform_system != "Windows"
 --extra-index-url https://download.pytorch.org/whl/cpu
 torch==2.4.1
 torchvision==0.19.1

notebooks/onnxruntime_lcm/requirements.txt

@@ -4,7 +4,9 @@ jupyterlab==4.2.5
 ipywidgets==8.1.5
 
 openvino==2024.4.0
-onnx==1.16.1
+# onnx>1.16.1 doesn't work on windows
+onnx==1.16.1; platform_system == "Windows"
+onnx==1.17.0; platform_system != "Windows"
 onnxruntime-openvino==1.20.0
 optimum==1.22.0
 accelerate==0.33.0

notebooks/onnxruntime_yolov8/requirements.txt

@@ -5,5 +5,7 @@ jupyterlab==4.2.5
 openvino==2024.5.0
 ultralytics==8.3.38
 onnxruntime-openvino==1.20.0
-onnx==1.16.1
+# onnx>1.16.1 doesn't work on windows
+onnx==1.16.1; platform_system == "Windows"
+onnx==1.17.0; platform_system != "Windows"
 setuptools==73.0.1