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# 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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