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| import gradio as gr | |
| from nltk import ngrams | |
| from nltk.tokenize import word_tokenize | |
| import nltk | |
| nltk.download('punkt') | |
| def generate_ngrams(sentence, n): | |
| tokens = word_tokenize(sentence) | |
| n_grams = list(ngrams(tokens, n)) | |
| res=[' '.join(gram) for gram in n_grams] | |
| print(res) | |
| return res | |
| iface = gr.Interface( | |
| fn=generate_ngrams, | |
| inputs=["text", gr.Number(precision=0)], | |
| outputs="text", | |
| live=True, | |
| title="Python Code With N-Gram", | |
| ) | |
| iface.launch() |