stmnk commited on
Commit
85aa77a
·
1 Parent(s): 475ca95

add article

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Files changed (1) hide show
  1. app.py +11 -4
app.py CHANGED
@@ -139,10 +139,17 @@ 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 the python code for a function or class as an input an generates a documentation string for it using codeT5 fine tuned for code2text generation',
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- article='_article_ *bold*',
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- theme='grass',
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- examples=[['code 1'],['code 2']],
 
 
 
 
 
 
 
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  verbose=True,
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  show_tips=True
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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 the python code for a function, or a class, as an input and generates a documentation string 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. It includes several datasets for diversified code intelligence tasks',
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+ article=r"""# CodeXGLLUE task definition (and dataset):
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+
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+ ## Code summarization (CodeSearchNet).
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+
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+ A model is given the task to generate natural language comments for a code.
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+
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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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+ theme='huggingface',
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+ examples=[[dfs_code],['code 2']],
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  verbose=True,
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  show_tips=True
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  )