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import gradio as gr | |
#import transformers | |
#from transformers import pipeline | |
def sentence_analysis(sent): | |
#length of token/length of type = TTR | |
#length = len(sent.split()) | |
number_of_tokens = len(sent.lower().split()) | |
number_of_types = len(set(sent.lower().split())) | |
TTR = number_of_types/number_of_tokens | |
return (f'''Your sentence has {number_of_tokens} tokens in it. | |
Your sentence has {number_of_types} types in it. | |
Type-token ratio of the sentence is {TTR}. | |
Please type another sentence.''') | |
iface = gr.Interface(fn=sentence_analysis, inputs="text", outputs="text") | |
iface.launch() | |
def word_analysis(word): | |
letter_count = len(word) | |
return (f'Your word has {letter_count} letters.') | |
iface = gr.Interface(fn=word_analysis, inputs="text", outputs="text") | |
iface.launch() | |