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app.py
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@@ -139,12 +139,10 @@ iface = gr.Interface(
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# gr.outputs.Textbox(label="Code Generated PL"))
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gr.outputs.Textbox(label="Docstring Generated (NL)"),
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title='Generate a documentation string for Python code',
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description='The application takes as input the python code for a function, or a class, and generates a documentation string, or code comment, for it using codeT5 fine tuned for code2text generation. Code to text generation, or code summarization, is a CodeXGLUE generation, or sequence to sequence, downstream task. CodeXGLUE stands for General Language Understanding Evaluation benchmark *for code*, which includes
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article=r"""CodeXGLLUE task definition (and dataset):
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Code summarization (CodeSearchNet).
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For further details, see the [CodeXGLUE](https://github.com/microsoft/CodeXGLUE) benchmark dataset and open challenge for code intelligence.
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""",
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# gr.outputs.Textbox(label="Code Generated PL"))
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gr.outputs.Textbox(label="Docstring Generated (NL)"),
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title='Generate a documentation string for Python code',
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description='The application takes as input the python code for a function, or a class, and generates a documentation string, or code comment, for it using codeT5 fine tuned for code2text generation. Code to text generation, or code summarization, is a CodeXGLUE generation, or sequence to sequence, downstream task. CodeXGLUE stands for General Language Understanding Evaluation benchmark *for code*, which includes diversified code intelligence downstream inference tasks and datasets.',
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article=r"""CodeXGLLUE task definition (and dataset): *Code summarization (CodeSearchNet)*:
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_A model is given the task to generate natural language comments for a programming language code input._
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For further details, see the [CodeXGLUE](https://github.com/microsoft/CodeXGLUE) benchmark dataset and open challenge for code intelligence.
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""",
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