chore(ci,docs): align Python to 3.11 and update docs — Resolves #1961

.devcontainer/Dockerfile

@@ -1,2 +1,2 @@
-FROM mcr.microsoft.com/vscode/devcontainers/python:3.10
+FROM mcr.microsoft.com/vscode/devcontainers/python:3.11
 COPY setup.sh /setup.sh

.github/workflows/actions.yml

@@ -2,7 +2,7 @@ name: Tests
 
 on:
   push:
-    branches: [ master ]
+    branches: [master]
   pull_request:
   release:
     types: [created]
@@ -13,35 +13,35 @@ jobs:
     env:
       KERAS_BACKEND: torch
     steps:
-    - uses: actions/checkout@v3
-    - name: Set up Python 3.10
-      uses: actions/setup-python@v4
-      with:
-        python-version: '3.10'
-    - name: Get pip cache dir
-      id: pip-cache
-      run: |
-        python -m pip install --upgrade pip setuptools
-        echo "dir=$(pip cache dir)" >> $GITHUB_OUTPUT
-    - name: pip cache
-      uses: actions/cache@v3
-      with:
-        path: ${{ steps.pip-cache.outputs.dir }}
-        key: ${{ runner.os }}-pip-${{ hashFiles('pyproject.toml') }}
-    - name: Install dependencies
-      run: |
+      - uses: actions/checkout@v3
+      - name: Set up Python 3.11
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.11"
+      - name: Get pip cache dir
+        id: pip-cache
+        run: |
+          python -m pip install --upgrade pip setuptools
+          echo "dir=$(pip cache dir)" >> $GITHUB_OUTPUT
+      - name: pip cache
+        uses: actions/cache@v3
+        with:
+          path: ${{ steps.pip-cache.outputs.dir }}
+          key: ${{ runner.os }}-pip-${{ hashFiles('pyproject.toml') }}
+      - name: Install dependencies
+        run: |
           pip install torch --index-url https://download.pytorch.org/whl/cpu
           pip install -e ".[tests]" --progress-bar off
-    - name: Test with pytest
-      run: |
-        pytest --cov=autokeras --cov-report xml:coverage.xml
-    - name: Codecov
-      uses: codecov/codecov-action@v3
-      with:
-        token: ${{ secrets.CODECOV_TOKEN }}
-        files: ./coverage.xml
-        flags: unittests
-        fail_ci_if_error: true
+      - name: Test with pytest
+        run: |
+          pytest --cov=autokeras --cov-report xml:coverage.xml
+      - name: Codecov
+        uses: codecov/codecov-action@v3
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}
+          files: ./coverage.xml
+          flags: unittests
+          fail_ci_if_error: true
   format:
     name: Check the code format
     runs-on: ubuntu-latest
@@ -58,10 +58,10 @@ jobs:
       KERAS_BACKEND: torch
     steps:
       - uses: actions/checkout@v3
-      - name: Set up Python 3.10
+      - name: Set up Python 3.11
         uses: actions/setup-python@v4
         with:
-          python-version: '3.10'
+          python-version: "3.11"
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip setuptools
@@ -80,18 +80,18 @@ jobs:
     env:
       KERAS_BACKEND: torch
     steps:
-    - uses: actions/checkout@v3
-    - name: Set up Python
-      uses: actions/setup-python@v4
-      with:
-        python-version: '3.10'
-    - name: Install dependencies
-      run: |
-        python -m pip install --upgrade pip build twine
-    - name: Build and publish
-      env:
-        TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
-        TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
-      run: |
-        python -m build
-        twine upload dist/*
+      - uses: actions/checkout@v3
+      - name: Set up Python 3.11
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.11"
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip build twine
+      - name: Build and publish
+        env:
+          TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
+          TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
+        run: |
+          python -m build
+          twine upload dist/*

README.md

@@ -10,13 +10,14 @@
 Official Website: [autokeras.com](https://autokeras.com)
 
 ##
+
 AutoKeras: An AutoML system based on Keras.
 It is developed by <a href="http://faculty.cs.tamu.edu/xiahu/index.html" target="_blank" rel="nofollow">DATA Lab</a> at Texas A&M University.
 The goal of AutoKeras is to make machine learning accessible to everyone.
 
 ## Learning resources
 
-* A short example.
+- A short example.
 
 ```python
 import autokeras as ak
@@ -26,17 +27,16 @@ clf.fit(x_train, y_train)
 results = clf.predict(x_test)
 ```
 
-* [Official website tutorials](https://autokeras.com/tutorial/overview/).
-* The book of [*Automated Machine Learning in Action*](https://www.manning.com/books/automated-machine-learning-in-action?query=automated&utm_source=jin&utm_medium=affiliate&utm_campaign=affiliate&a_aid=jin).
-* The LiveProjects of [*Image Classification with AutoKeras*](https://www.manning.com/liveprojectseries/autokeras-ser).
+- [Official website tutorials](https://autokeras.com/tutorial/overview/).
+- The book of [_Automated Machine Learning in Action_](https://www.manning.com/books/automated-machine-learning-in-action?query=automated&utm_source=jin&utm_medium=affiliate&utm_campaign=affiliate&a_aid=jin).
+- The LiveProjects of [_Image Classification with AutoKeras_](https://www.manning.com/liveprojectseries/autokeras-ser).
 <p align="center">
 <a href="https://www.manning.com/books/automated-machine-learning-in-action?query=automated&utm_source=jin&utm_medium=affiliate&utm_campaign=affiliate&a_aid=jin"><img src="https://images.manning.com/360/480/resize/book/0/fc56aaf-b2ba-4ef4-85b3-4a31edbe8ecc/Song-AML-HI.png" alt="drawing" width="266"/></a>
 &nbsp
 &nbsp
 <a href="https://www.manning.com/liveprojectseries/autokeras-ser"><img src="https://images.manning.com/360/480/resize/liveProjectSeries/9/38c715a-0c8c-4f66-b440-83d29993877a/ImageClassificationwithAutoKeras.jpg" alt="drawing" width="250"/></a>
 </p>
 
-
 ## Installation
 
 To install the package, please use the `pip` installation as follows:
@@ -47,7 +47,7 @@ pip3 install autokeras
 
 Please follow the [installation guide](https://autokeras.com/install) for more details.
 
-**Note:** Currently, AutoKeras is only compatible with **Python >= 3.7** and **TensorFlow >= 2.8.0**.
+**Note:** AutoKeras requires **Python >= 3.11** and **Keras >= 3.0.0**.
 
 ## Community
 
@@ -70,7 +70,7 @@ Thank all the contributors!
 
 ## Cite this work
 
-Haifeng Jin, François Chollet, Qingquan Song, and Xia Hu. "AutoKeras: An AutoML Library for Deep Learning." *the Journal of machine Learning research* 6 (2023): 1-6. ([Download](http://jmlr.org/papers/v24/20-1355.html))
+Haifeng Jin, François Chollet, Qingquan Song, and Xia Hu. "AutoKeras: An AutoML Library for Deep Learning." _the Journal of machine Learning research_ 6 (2023): 1-6. ([Download](http://jmlr.org/papers/v24/20-1355.html))
 
 Biblatex entry:
 

docker/pre-commit.Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.7
+FROM python:3.11
 
 RUN pip install flake8 black isort
 

docs/tutobooks.py

@@ -511,7 +511,7 @@ def flush(output_lines, final_lines):
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.7.0",
+            "version": "3.11.0",
         },
     },
     "nbformat": 4,

pyproject.toml

@@ -9,18 +9,18 @@ authors = [
 ]
 description = "AutoML for deep learning"
 readme = "README.md"
-requires-python = ">=3.8"
+requires-python = ">=3.11"
 license = {text = "Apache License 2.0"}
 dynamic = ["version"]
 classifiers = [
     "Intended Audience :: Developers",
     "Intended Audience :: Education",
     "Intended Audience :: Science/Research",
     "License :: OSI Approved :: Apache Software License",
-    "Programming Language :: Python :: 3.8",
-    "Programming Language :: Python :: 3.9",
-    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3",
     "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3 :: Only",
     "Topic :: Scientific/Engineering :: Mathematics",
     "Topic :: Software Development :: Libraries :: Python Modules",
     "Topic :: Software Development :: Libraries",