loubnabnl HF staff commited on
Commit
6161e72
1 Parent(s): 8db79bd

Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -6,7 +6,7 @@ title = "Code Explainer"
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  description = "This is a space to convert Python code into english text explaining what it does using [codeparrot-small-code-to-text](https://huggingface.co/codeparrot/codeparrot-small-code-to-text),\
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  a code generation model for Python finetuned on [github-jupyter-code-to-text](https://huggingface.co/datasets/codeparrot/github-jupyter-code-to-text) a dataset of Python code followed by a docstring explaining it, the data was originally extracted from Jupyter notebooks."
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- EXAMPLE_1 = "def bubblesort(elements):\n n = len(arr)\n# loop through elements\n swapped = False\n for n in range(len(elements)-1, 0, -1):\n for i in range(n):\n if elements[i] > elements[i + 1]:\n swapped = True\n elements[i], elements[i + 1] = elements[i + 1], elements[i]\n if not swapped:\n return"
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  EXAMPLE_2 = "from sklearn import model_selection\nX_train, X_test, Y_train, Y_test = model_selection.train_test_split(X, Y, test_size=0.2)"
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  EXAMPLE_3 = "def load_text(file)\n with open(filename, 'r') as f:\n text = f.read()\n return text"
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  example = [
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  description = "This is a space to convert Python code into english text explaining what it does using [codeparrot-small-code-to-text](https://huggingface.co/codeparrot/codeparrot-small-code-to-text),\
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  a code generation model for Python finetuned on [github-jupyter-code-to-text](https://huggingface.co/datasets/codeparrot/github-jupyter-code-to-text) a dataset of Python code followed by a docstring explaining it, the data was originally extracted from Jupyter notebooks."
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+ EXAMPLE_1 = "def sort_function(arr):\n n = len(arr)\n \n # Traverse through all array elements\n for i in range(n):\n \n # Last i elements are already in place\n for j in range(0, n-i-1):\n \n # traverse the array from 0 to n-i-1\n # Swap if the element found is greater\n # than the next element\n if arr[j] > arr[j+1]:\n arr[j], arr[j+1] = arr[j+1], arr[j]"
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  EXAMPLE_2 = "from sklearn import model_selection\nX_train, X_test, Y_train, Y_test = model_selection.train_test_split(X, Y, test_size=0.2)"
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  EXAMPLE_3 = "def load_text(file)\n with open(filename, 'r') as f:\n text = f.read()\n return text"
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  example = [