Tensorflow 2.14.0 published pypi metadata is missing platform specific dependencies installed via pip
cc: @kulinseth , @learning-to-play  When I run

```
poetry add "tensorflow==2.15.0.post1[and-cuda]"
```

I still get

```
Updating dependencies
Resolving dependencies... (0.6s)

Because tensorflow (2.15.0.post1) depends on tensorflow-intel (2.15.0.post1) which doesn't match any versions, tensorflow is forbidden.
So, because tf depends on tensorflow (2.15.0.post1), version solving failed.
```

I tried on `tf-nightly` as well, but there I already run into a different (more fundamental?) issue: https://github.com/tensorflow/tensorflow/issues/62928 Hi there, on my Windows 10 machine I get the same error when trying to use the CPU version.
```
poetry add tensorflow==2.15.0.post1
```
yields

```
Because tensorflow (2.15.0.post1) depends on tensorflow-intel (2.15.0.post1) which doesn't match any versions, tensorflow is forbidden.
So, because tf depends on tensorflow (2.15.0.post1), version solving failed.
```
### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

binary

### TensorFlow version

2.14.0

### Custom code

No

### OS platform and distribution

macOS-13.3-arm64-arm-64bit

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

Tensorflow 2.14.0 still has wrong metadata published to pypi compared to what is actually installed
It does not list following platform specific dependencies.: 

```
Requires-Dist: tensorflow-macos (==2.14.0) ; platform_system == "Darwin" and platform_machine == "arm64"
Requires-Dist: tensorflow-cpu-aws (==2.14.0) ; platform_system == "Linux" and (platform_machine == "arm64" or platform_machine == "aarch64")
Requires-Dist: tensorflow-intel (==2.14.0) ; platform_system == "Windows"
```

This leads to poetry not being able to install tensorflow properly.
See #61477

### Standalone code to reproduce the issue

```shell
pip install tensorflow==2.14.0
cd python3.11/site-packages
cat tensorflow-2.14.0.dist-info/METADA

Requires-Dist: tensorflow-macos (==2.14.0) ; platform_system == "Darwin" and platform_machine == "arm64"
Requires-Dist: tensorflow-cpu-aws (==2.14.0) ; platform_system == "Linux" and (platform_machine == "arm64" or platform_machine == "aarch64")
Requires-Dist: tensorflow-intel (==2.14.0) ; platform_system == "Windows"
```


vs 

curl -s https://pypi.org/pypi/tensorflow/2.14.0/json | jq '.info.requires_dist'

```
[
  "opt-einsum (>=2.3.2)",
  "absl-py (>=1.0.0)",
  "astunparse (>=1.6.0)",
  "flatbuffers (>=23.5.26)",
  "gast (!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1)",
  "google-pasta (>=0.1.1)",
  "h5py (>=2.9.0)",
  "libclang (>=13.0.0)",
  "ml-dtypes (==0.2.0)",
  "numpy (>=1.23.5)",
  "packaging",
  "protobuf (!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3)",
  "setuptools",
  "six (>=1.12.0)",
  "termcolor (>=1.1.0)",
  "typing-extensions (>=3.6.6)",
  "wrapt (<1.15,>=1.11.0)",
  "tensorflow-io-gcs-filesystem (>=0.23.1)",
  "grpcio (<2.0,>=1.24.3)",
  "tensorboard (<2.15,>=2.14)",
  "tensorflow-estimator (<2.15,>=2.14.0)",
  "keras (<2.15,>=2.14.0)",
  "nvidia-cuda-runtime-cu11 (==11.8.89) ; extra == 'and-cuda'",
  "nvidia-cublas-cu11 (==11.11.3.6) ; extra == 'and-cuda'",
  "nvidia-cufft-cu11 (==10.9.0.58) ; extra == 'and-cuda'",
  "nvidia-cudnn-cu11 (==8.7.0.84) ; extra == 'and-cuda'",
  "nvidia-curand-cu11 (==10.3.0.86) ; extra == 'and-cuda'",
  "nvidia-cusolver-cu11 (==11.4.1.48) ; extra == 'and-cuda'",
  "nvidia-cusparse-cu11 (==11.7.5.86) ; extra == 'and-cuda'",
  "nvidia-nccl-cu11 (==2.16.5) ; extra == 'and-cuda'",
  "nvidia-cuda-cupti-cu11 (==11.8.87) ; extra == 'and-cuda'",
  "nvidia-cuda-nvcc-cu11 (==11.8.89) ; extra == 'and-cuda'",
  "tensorrt (==8.5.3.1) ; extra == 'and-cuda'"
]
```
```


### Relevant log output

_No response_