Updated SQL Query Plot Code (#8120)

Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

.github/workflows/publish.yml

@@ -33,7 +33,6 @@ jobs:
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip wheel build twine
-          pip install "git+https://github.com/squidfunk/mkdocs-material@master"
           pip install -e ".[dev]" --extra-index-url https://download.pytorch.org/whl/cpu
       - name: Check PyPI version
         shell: python

docs/en/datasets/explorer/api.md

@@ -192,8 +192,8 @@ You can also plot the results of a SQL query using the `plot_sql_query` method.
     exp = Explorer(data='coco128.yaml', model='yolov8n.pt')
     exp.create_embeddings_table()
 
-    df = exp.sql_query("WHERE labels LIKE '%person%' AND labels LIKE '%dog%'")
-    print(df.head())
+    # plot the SQL Query
+    exp.plot_sql_query("WHERE labels LIKE '%person%' AND labels LIKE '%dog%' LIMIT 10")
     ```
 
 ## 4. Advanced - Working with Embeddings Table

pyproject.toml

@@ -89,7 +89,7 @@ dev = [
     "pytest",
     "pytest-cov",
     "coverage[toml]",
-    "mkdocs-material",
+    "mkdocs-material>=9.5.9",
     "mkdocstrings[python]",
     "mkdocs-jupyter", # for notebooks
     "mkdocs-redirects", # for 301 redirects