py3_image: No Matching Toolchains Found

# 🐞 bug report

### Affected Rule

py3_image

### Description

No matching toolchains found.

## 🔬 Minimal Reproduction

Command

```
bazel build :preprocess_main_img
INFO: Build option --toolchain_resolution_debug has changed, discarding analysis cache.
ERROR: /home/sven/main/backend/lora_enrollment/lora_training/BUILD:6:10: While resolving toolchains for target //backend/lora_enrollment/lora_training:preprocess_main_img.binary: No matching toolchains found for types @bazel_tools//tools/python:toolchain_type.
To debug, rerun with --toolchain_resolution_debug='@bazel_tools//tools/python:toolchain_type'
If platforms or toolchains are a new concept for you, we'd encourage reading https://bazel.build/concepts/platforms-intro.
ERROR: Analysis of target '//backend/lora_enrollment/lora_training:preprocess_main_img' failed; build aborted:
INFO: Elapsed time: 0.166s
INFO: 0 processes.
FAILED: Build did NOT complete successfully (26 packages loaded, 314 targets configured)
```

Rule Call:

```
py3_image(
name = "preprocess_main_img",
srcs = ["preprocess_main.py"],
layers = [
requirement("grpcio"),
requirement("transformers"),
requirement("pillow"),
requirement("torch"),
requirement("opencv-python"),
requirement("deepface"),
requirement("zmq"),
requirement("accelerate"),
requirement("jmespath"),
requirement("exceptiongroup"),
requirement("nvidia_cuda_cupti_cu11"),
":add_background",
"//backend/utils/logging:easel_logging",
],
base=":python3.10",
data = ["train"],
visibility = ["//visibility:public"],
main = "preprocess_main.py",
)
```

Python Setup in WORKSPACE:

```
http_archive(
name = "rules_python",
sha256 = "5868e73107a8e85d8f323806e60cad7283f34b32163ea6ff1020cf27abef6036",
strip_prefix = "rules_python-0.25.0",
url = "https://github.com/bazelbuild/rules_python/releases/download/0.25.0/rules_python-0.25.0.tar.gz",
)

load("@rules_python//python:repositories.bzl", "py_repositories", "python_register_toolchains")

py_repositories()

python_register_toolchains(
name = "python3_10",
# Available versions are listed in @rules_python//python:versions.bzl.
# We recommend using the same version your team is already standardized on.
python_version = "3.10.12",
)

load("@python3_10//:defs.bzl", "interpreter")
load("@rules_python//python:pip.bzl", "pip_parse")

pip_parse(
name = "pip",
python_interpreter_target = interpreter,
requirements_lock = "//third_party/python:requirements.txt",
)

load("@pip//:requirements.bzl", "install_deps")

install_deps()
```

## 🔥 Exception or Error

## 🌍 Your Environment

**Operating System:**

Linux 5.15.0-75-generic #82~20.04.1-Ubuntu SMP Wed Jun 7 19:37:37 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux

**Output of `bazel version`:**

  

Build label: 6.3.2

Build target: bazel-out/k8-opt/bin/src/main/java/com/google/devtools/build/lib/bazel/BazelServer_deploy.jar

Build time: Tue Aug 8 15:48:33 2023 (1691509713)

Build timestamp: 1691509713

Build timestamp as int: 1691509713

  

**Rules_docker version:**

  

http_archive(

    name = "io_bazel_rules_docker",

    sha256 = "b1e80761a8a8243d03ebca8845e9cc1ba6c82ce7c5179ce2b295cd36f7e394bf",

    urls = ["https://github.com/bazelbuild/rules_docker/releases/download/v0.25.0/rules_docker-v0.25.0.tar.gz"],

)