docs: Add tutorials page (#8678)

Author: huguestennier

docs/source/guide/ml_tutorials.html

@@ -5,37 +5,37 @@
   - Segmentation
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/timeseries.png
+  image: /guide/ml_tutorials/timeseries.png
   meta_description: Tutorial demonstrating a minimal ML backend that performs time series segmentation in Label Studio.
   meta_title: Time Series Segmenter for Label Studio
   order: 35
   tier: all
   title: Time Series Segmenter for Label Studio
   type: guide
-  url: /tutorials/timeseries_segmenter.html
+  url: /guide/ml_tutorials/timeseries_segmenter.html
 - categories:
   - Natural Language Processing
   - Text Classification
   - BERT
   - Hugging Face
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/bert.png
+  image: /guide/ml_tutorials/bert.png
   meta_description: Tutorial on how to use BERT-based text classification with your
     Label Studio project
   meta_title: BERT-based text classification
   order: 35
   tier: all
   title: Classify text with a BERT model
   type: guide
-  url: /tutorials/bert_classifier.html
+  url: /guide/ml_tutorials/bert_classifier.html
 - categories:
   - Computer Vision
   - Optical Character Recognition
   - EasyOCR
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/easyocr.png
+  image: /guide/ml_tutorials/easyocr.png
   meta_description: The EasyOCR model connection integrates the capabilities of EasyOCR
     with Label Studio to assist in machine learning labeling tasks involving Optical
     Character Recognition (OCR).
@@ -44,21 +44,21 @@
   tier: all
   title: Transcribe text from images with EasyOCR
   type: guide
-  url: /tutorials/easyocr.html
+  url: /guide/ml_tutorials/easyocr.html
 - categories:
   - Natural Language Processing
   - Named Entity Recognition
   - Flair
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/flair.png
+  image: /guide/ml_tutorials/flair.png
   meta_description: Tutorial on how to use Label Studio and Flair for faster NER labeling
   meta_title: Use Flair with Label Studio
   order: 75
   tier: all
   title: NER labeling with Flair
   type: guide
-  url: /tutorials/flair.html
+  url: /guide/ml_tutorials/flair.html
 - categories:
   - Natural Language Processing
   - Named Entity Recognition
@@ -67,31 +67,31 @@
   - Hugging Face
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/gliner.png
+  image: /guide/ml_tutorials/gliner.png
   meta_description: Tutorial on how to use GLiNER with your Label Studio project to
     complete NER tasks
   meta_title: Use GLiNER for NER annotation
   order: 37
   tier: all
   title: Use GLiNER for NER annotation
   type: guide
-  url: /tutorials/gliner.html
+  url: /guide/ml_tutorials/gliner.html
 - categories:
   - Computer Vision
   - Image Annotation
   - Object Detection
   - Grounding DINO
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/grounding-dino.png
+  image: /guide/ml_tutorials/grounding-dino.png
   meta_description: Label Studio tutorial for using Grounding DINO for zero-shot object
     detection in images
   meta_title: Image segmentation in Label Studio using a Grounding DINO backend
   order: 15
   tier: all
   title: Zero-shot object detection and image segmentation with Grounding DINO
   type: guide
-  url: /tutorials/grounding_dino.html
+  url: /guide/ml_tutorials/grounding_dino.html
 - categories:
   - Computer Vision
   - Image Annotation
@@ -101,7 +101,7 @@
   - Segment Anything Model
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/grounding-sam.png
+  image: /guide/ml_tutorials/grounding-sam.png
   meta_description: Label Studio tutorial for using Grounding DINO and SAM for zero-shot
     object detection in images
   meta_title: Image segmentation in Label Studio using a Grounding DINO backend and
@@ -111,15 +111,15 @@
   title: Zero-shot object detection and image segmentation with Grounding DINO and
     SAM
   type: guide
-  url: /tutorials/grounding_sam.html
+  url: /guide/ml_tutorials/grounding_sam.html
 - categories:
   - Generative AI
   - Large Language Model
   - Text Generation
   - Hugging Face
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/hf-llm.png
+  image: /guide/ml_tutorials/hf-llm.png
   meta_description: This tutorial explains how to run Hugging Face Large Language
     model backend in Label Studio. Hugging Face Large Language Model Backend is a
     machine learning backend designed to work with Label Studio, providing a custom
@@ -129,37 +129,37 @@
   tier: all
   title: Hugging Face Large Language Model (LLM)
   type: guide
-  url: /tutorials/huggingface_llm.html
+  url: /guide/ml_tutorials/huggingface_llm.html
 - categories:
   - Natural Language Processing
   - Named Entity Recognition
   - Hugging Face
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/hf-ner.png
+  image: /guide/ml_tutorials/hf-ner.png
   meta_description: This tutorial explains how to run a Hugging Face NER backend in
     Label Studio.
   meta_title: Label Studio tutorial to run Hugging Face NER backend
   order: 25
   tier: all
   title: Hugging Face NER
   type: guide
-  url: /tutorials/huggingface_ner.html
+  url: /guide/ml_tutorials/huggingface_ner.html
 - categories:
   - Natural Language Processing
   - Named Entity Recognition
   - Interactive matching
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/interactive-substring-matching.png
+  image: /guide/ml_tutorials/interactive-substring-matching.png
   meta_description: Use the interactive substring matching model for labeling NER
     tasks in Label Studio
   meta_title: Interactive substring matching for NER tasks
   order: 30
   tier: all
   title: Interactive substring matching for NER tasks
   type: guide
-  url: /tutorials/interactive_substring_matching.html
+  url: /guide/ml_tutorials/interactive_substring_matching.html
 - categories:
   - Generative AI
   - Retrieval Augmented Generation
@@ -168,15 +168,15 @@
   - Langchain
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/langchain.png
+  image: /guide/ml_tutorials/langchain.png
   meta_description: Use Langchain, OpenAI, and Google to generate responses based
     on Google search results.
   meta_title: RAG with a Langchain search agent
   order: 45
   tier: all
   title: RAG with a Langchain search agent
   type: guide
-  url: /tutorials/langchain_search_agent.html
+  url: /guide/ml_tutorials/langchain_search_agent.html
 - categories:
   - Generative AI
   - Large Language Model
@@ -186,15 +186,15 @@
   - ChatGPT
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/llm-interactive.png
+  image: /guide/ml_tutorials/llm-interactive.png
   meta_description: Label Studio tutorial for interactive LLM labeling with OpenAI,
     Azure, or Ollama
   meta_title: Interactive LLM labeling with OpenAI, Azure, or Ollama
   order: 5
   tier: all
   title: Interactive LLM labeling with GPT
   type: guide
-  url: /tutorials/llm_interactive.html
+  url: /guide/ml_tutorials/llm_interactive.html
 - categories:
   - Computer Vision
   - Object Detection
@@ -203,59 +203,59 @@
   - MMDetection
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/openmmlab.png
+  image: /guide/ml_tutorials/openmmlab.png
   meta_description: This is a tutorial on how to use the example MMDetection model
     backend with Label Studio for image segmentation tasks.
   meta_title: Object detection in images with Label Studio and MMDetection
   order: 65
   tier: all
   title: Object detection with bounding boxes using MMDetection
   type: guide
-  url: /tutorials/mmdetection-3.html
+  url: /guide/ml_tutorials/mmdetection-3.html
 - categories:
   - Audio/Speech Processing
   - Automatic Speech Recognition
   - NeMo
   - NVidia
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/nvidia.png
+  image: /guide/ml_tutorials/nvidia.png
   meta_description: Tutorial on how to use set up Nvidia NeMo to use for ASR tasks
     in Label Studio
   meta_title: Automatic Speech Recognition with NeMo
   order: 60
   tier: all
   title: Automatic Speech Recognition with NVidia NeMo
   type: guide
-  url: /tutorials/nemo_asr.html
+  url: /guide/ml_tutorials/nemo_asr.html
 - categories:
   - Computer Vision
   - Image Annotation
   - Object Detection
   - Segment Anything Model
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/sam2-images.png
+  image: /guide/ml_tutorials/sam2-images.png
   meta_title: Using SAM2 with Label Studio for Image Annotation
   order: 15
   tier: all
   title: SAM2 with Images
   type: guide
-  url: /tutorials/segment_anything_2_image.html
+  url: /guide/ml_tutorials/segment_anything_2_image.html
 - categories:
   - Computer Vision
   - Video Annotation
   - Object Detection
   - Segment Anything Model
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/sam2-video.png
+  image: /guide/ml_tutorials/sam2-video.png
   meta_title: Using SAM2 with Label Studio for Video Annotation
   order: 15
   tier: all
   title: SAM2 with Videos
   type: guide
-  url: /tutorials/segment_anything_2_video.html
+  url: /guide/ml_tutorials/segment_anything_2_video.html
 - categories:
   - Computer Vision
   - Object Detection
@@ -265,105 +265,105 @@
   - ONNX
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/segment-anything.png
+  image: /guide/ml_tutorials/segment-anything.png
   meta_description: Label Studio tutorial for labeling images with MobileSAM or ONNX
     SAM.
   meta_title: Interactive annotation in Label Studio with Segment Anything Model (SAM)
   order: 10
   tier: all
   title: Interactive annotation with Segment Anything Model
   type: guide
-  url: /tutorials/segment_anything_model.html
+  url: /guide/ml_tutorials/segment_anything_model.html
 - categories:
   - Natural Language Processing
   - Text Classification
   - Scikit-learn
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/scikit-learn.png
+  image: /guide/ml_tutorials/scikit-learn.png
   meta_description: Tutorial on how to use an example ML backend for Label Studio
     with Scikit-learn logistic regression
   meta_title: Sklearn Text Classifier model for Label Studio
   order: 50
   tier: all
   title: Sklearn Text Classifier model
   type: guide
-  url: /tutorials/sklearn_text_classifier.html
+  url: /guide/ml_tutorials/sklearn_text_classifier.html
 - categories:
   - Natural Language Processing
   - Named Entity Recognition
   - SpaCy
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/spacy.png
+  image: /guide/ml_tutorials/spacy.png
   meta_description: Tutorial on how to use Label Studio and spaCy for faster NER and
     POS labeling
   meta_title: Use spaCy models with Label Studio
   order: 70
   tier: all
   title: spaCy models for NER
   type: guide
-  url: /tutorials/spacy.html
+  url: /guide/ml_tutorials/spacy.html
 - categories:
   - Computer Vision
   - Optical Character Recognition
   - Tesseract
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/tesseract.png
+  image: /guide/ml_tutorials/tesseract.png
   meta_description: Tutorial for how to use Label Studio and Tesseract to assist with
     your OCR projects
   meta_title: Interactive bounding boxes OCR in Label Studio with a Tesseract backend
   order: 55
   tier: all
   title: Interactive bounding boxes OCR with Tesseract
   type: guide
-  url: /tutorials/tesseract.html
+  url: /guide/ml_tutorials/tesseract.html
 - categories:
   - Generative AI
   - Large Language Model
   - WatsonX
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/watsonx.png
+  image: /guide/ml_tutorials/watsonx.png
   meta_title: Integrate WatsonX with Label Studio
   order: 15
   tier: all
   title: Integrate WatsonX with Label Studio
   type: guide
-  url: /tutorials/watsonx_llm.html
+  url: /guide/ml_tutorials/watsonx_llm.html
 - categories:
   - Computer Vision
   - Object Detection
   - Image Segmentation
   - YOLO
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/yolo.png
+  image: /guide/ml_tutorials/yolo.png
   meta_description: Tutorial on how to use an example ML backend for Label Studio
     with YOLO
   meta_title: YOLO ML Backend for Label Studio
   order: 50
   tier: all
   title: YOLO ML Backend for Label Studio
   type: guide
-  url: /tutorials/yolo.html
+  url: /guide/ml_tutorials/yolo.html
 - categories:
   - Computer Vision
   - Video Classification
   - Temporal Labeling
   - LSTM
   hide_frontmatter_title: true
   hide_menu: true
-  image: /tutorials/yolo-video-classification.png
+  image: /guide/ml_tutorials/yolo-video-classification.png
   meta_description: Tutorial on how to use an example ML backend for Label Studio
     with TimelineLabels
   meta_title: TimelineLabels ML Backend for Label Studio
   order: 51
   tier: all
   title: TimelineLabels ML Backend for Label Studio
   type: guide
-  url: /tutorials/yolo_timeline_labels.html
+  url: /guide/ml_tutorials/yolo_timeline_labels.html
 layout: templates
 meta_description: Tutorial documentation for setting up a machine learning model with
   predictions using PyTorch, GPT2, Sci-kit learn, and other popular frameworks.