Update bokeh package config (#22)

* Update bokeh package config

* Update README

* Add license, url, and classifiers

Author: sfc-gh-kmcgrady

README.md

@@ -59,7 +59,7 @@ streamlit_bokeh(YOUR_BOKEH_FIGURE, use_container_width=True, theme="streamlit",
 #### Parameters:
 
 - **`figure`** (_bokeh.plotting.figure_): The Bokeh figure object to display.
-- **`use_container_width`** (_bool_, optional): Whether to override the figure's native width with the width of the parent container. This is `True`  by default.
+- **`use_container_width`** (_bool_, optional): Whether to override the figure's native width with the width of the parent container. This is `True` by default.
 - **`theme`** (_str_, optional): The theme for the plot. This can be one of the following strings:
   - `"streamlit"` (default): Matches Streamlit's current theme.
   - A Bokeh theme name including:
@@ -108,7 +108,7 @@ For example, `3.6.x` will mirror a version of Bokeh that's `3.6.y`.
 
 ## 📝 Contributing
 
-Feel free to file issues in [our Streamlit Repository](https://github.com/streamlit/streamlit-bokeh/issues/new/choose).
+Feel free to file issues in [our Streamlit Repository](https://github.com/streamlit/streamlit/issues/new/choose).
 
 Contributions are welcome 🚀, however, please inform us before building a feature.
 

setup.py

@@ -22,15 +22,35 @@
 setuptools.setup(
     name="streamlit-bokeh",
     version="3.6.2",
-    author="Streamlit",
-    author_email="streamlitcommunity@snowflake.com",
+    author="Snowflake Inc",
+    author_email="hello@streamlit.io",
     description="Streamlit component that allows you to render Bokeh charts",
     long_description=long_description,
     long_description_content_type="text/markdown",
-    url="",
+    project_urls={
+        "Source Code": "https://github.com/streamlit/streamlit-bokeh",
+        "Bug Tracker": "https://github.com/streamlit/streamlit/issues",
+        "Community": "https://discuss.streamlit.io/",
+        "Twitter": "https://twitter.com/streamlit",
+    },
+    url="https://streamlit.io",
+    license="Apache License 2.0",
     packages=setuptools.find_packages(),
     include_package_data=True,
-    classifiers=[],
+    classifiers=[
+        "Development Status :: 5 - Production/Stable",
+        "Environment :: Console",
+        "Environment :: Web Environment",
+        "Intended Audience :: Developers",
+        "Intended Audience :: Science/Research",
+        "License :: OSI Approved :: Apache Software License",
+        "Programming Language :: Python :: 3.9",
+        "Programming Language :: Python :: 3.10",
+        "Programming Language :: Python :: 3.11",
+        "Programming Language :: Python :: 3.12",
+        "Programming Language :: Python :: 3.13",
+        "Topic :: Scientific/Engineering :: Visualization",
+    ],
     python_requires=">=3.9",
     install_requires=[
         # By definition, a Custom Component depends on Streamlit.