# tensorflowjs: The Python Package for TensorFlow.js
The **tensorflowjs** pip package contains libraries and tools for
[TensorFlow.js](https://js.tensorflow.org).
Use following command to install the library with support of interactive CLI:
```bash
pip install tensorflowjs[wizard]
```
Then, run the following to see a list of CLI options
```bash
tensorflowjs_converter --help
```
or, use the wizard
```bash
tensorflowjs_wizard
```
Alternatively, run the converter via its Bazel target. This must be run from withing the tfjs repo:
```bash
yarn bazel run //tfjs-converter/python/tensorflowjs/converters:converter -- --help
```
## Development
The python tests are run with Bazel.
```bash
yarn bazel test //tfjs-converter/python/...
```
Alternatively, run `yarn run-python-tests` to run the above command.
To debug a specific test case, use the `--test_filter` option. For example,
```bash
yarn bazel test //tfjs-converter/python/tensorflowjs/converters:tf_saved_model_conversion_v2_test --test_filter=ConvertTest.test_convert_saved_model_v1
```
Interactive debugging with breakpoints is supported by `debugpy` in VSCode.
To enable debugging, put this code at the top of the test file you want to
debug.
```python
import debugpy
debugpy.listen(('localhost', 5724))
print("Waiting for debugger to connect. See tfjs-converter python README")
debugpy.wait_for_client()
```
You may also need to add the following dependency to the test target in the
Bazel `BUILD` file if it's not already present.
```starlark
"//tfjs-converter/python/tensorflowjs:expect_debugpy_installed"
```
Then, run the test with `bazel run --config=debugpy` and connect
the VSCode debugger by selecting the `Python: Attach (Converter)` option.
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"description": "# tensorflowjs: The Python Package for TensorFlow.js\n\nThe **tensorflowjs** pip package contains libraries and tools for\n[TensorFlow.js](https://js.tensorflow.org).\n\nUse following command to install the library with support of interactive CLI:\n```bash\npip install tensorflowjs[wizard]\n```\n\nThen, run the following to see a list of CLI options\n\n```bash\ntensorflowjs_converter --help\n```\n\nor, use the wizard\n\n```bash\ntensorflowjs_wizard\n```\n\nAlternatively, run the converter via its Bazel target. This must be run from withing the tfjs repo:\n\n```bash\nyarn bazel run //tfjs-converter/python/tensorflowjs/converters:converter -- --help\n```\n\n## Development\n\nThe python tests are run with Bazel.\n\n```bash\nyarn bazel test //tfjs-converter/python/...\n```\n\nAlternatively, run `yarn run-python-tests` to run the above command.\n\nTo debug a specific test case, use the `--test_filter` option. For example,\n\n```bash\nyarn bazel test //tfjs-converter/python/tensorflowjs/converters:tf_saved_model_conversion_v2_test --test_filter=ConvertTest.test_convert_saved_model_v1\n```\n\nInteractive debugging with breakpoints is supported by `debugpy` in VSCode.\nTo enable debugging, put this code at the top of the test file you want to\ndebug.\n\n```python\nimport debugpy\ndebugpy.listen(('localhost', 5724))\nprint(\"Waiting for debugger to connect. See tfjs-converter python README\")\ndebugpy.wait_for_client()\n```\n\nYou may also need to add the following dependency to the test target in the\nBazel `BUILD` file if it's not already present.\n```starlark\n\"//tfjs-converter/python/tensorflowjs:expect_debugpy_installed\"\n```\n\nThen, run the test with `bazel run --config=debugpy` and connect\nthe VSCode debugger by selecting the `Python: Attach (Converter)` option.\n\n",
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