bump project version (#1)

* initial res for tpu support

* update readme

README.md

@@ -12,7 +12,7 @@ Below is a step-by-step example of how to use `inverse-canopy` in your project.
 First, you need to import `InverseCanopy` from `inverse_canopy`, along with `tensorflow` and `numpy`.
 
 ```shell
-!pip install inverse-canopy==0.0.20
+!pip install inverse-canopy==0.0.21
 ```
 
 Alternatively, you can install the CUDA or Metal accelerated versions. No code changes are required as long as the
@@ -21,12 +21,12 @@ appropriate version is installed.
 ```shell
 # optionally, first check if an nvidia GPU is available
 !nvidia-smi
-!pip install inverse-canopy[cuda]==0.0.20
+!pip install inverse-canopy[cuda]==0.0.21
 ```
 
 #### inverse-canopy Metal [macOS]
 ```shell
-!pip install inverse-canopy[metal]==0.0.20
+!pip install inverse-canopy[metal]==0.0.21
 ```
 
 ```python

setup.py

@@ -9,7 +9,7 @@
 setup(
     name='inverse-canopy',
     url='https://openpra.org',
-    version='0.0.20',
+    version='0.0.21',
     author='Arjun Earthperson',
     author_email='[email protected]',
     license='AGPL-3.0',
@@ -18,8 +18,8 @@
     long_description_content_type='text/markdown',
     long_description=README,
     install_requires=[
-        'tensorflow',
-        'tensorflow-probability',
+        'tensorflow>=2.15.0',
+        'tensorflow-probability>=0.23.0',
         'numpy',
         'scipy',
         'matplotlib'