88 lines
2.8 KiB
Python
88 lines
2.8 KiB
Python
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# Copyright (C) 2023 François Pelletier - Je valide ça, service-conseil
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import re
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import streamlit as st
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import nltk
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def remove_space_before_punctuation(text):
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"""
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Removes space before punctuation.
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"""
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text = re.sub(r"(\s+)([.,;?!'])]", "\2", text)
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return text
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def only_alphanumerics(text):
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"""
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Detects if the text contains only alphanumerics.
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"""
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return re.search(r"[^\w\'\-]", text) is None
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def make_bold_part(token):
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"""
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Makes bold text.
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"""
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if (not only_alphanumerics(token)) or len(token) < 2:
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return token
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else:
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mid_token = round(len(token)/2)
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return f"**{token[0:mid_token]}**{token[mid_token:]}"
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def split_tokens(text, lang):
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"""
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Splits a text into tokens.
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"""
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paragraphs = text.split("\n\n")
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new_paragraphs = []
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for paragraph in paragraphs:
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tokens = nltk.word_tokenize(paragraph, language=lang)
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tokens = [re.sub(r"\sn\'t", "n't", token) for token in tokens]
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tokens = [make_bold_part(token) for token in tokens]
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par = remove_space_before_punctuation(" ".join(tokens))
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new_paragraphs.append(par)
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return "\n\n".join(new_paragraphs)
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def write_app():
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"""
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Write a streamlit app with an input box, a numerical slider from 1 to 5 and an output box.
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:return:
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"""
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st.title("Lecture rapide 'bionique'")
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st.markdown("La lecture bionique consiste à convertir la moitié des lettres d'un mot en caractères gras. C'est "
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"supposé augmenter la vitesse de lecture d'un texte.")
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lang = st.sidebar.selectbox(label="Langue", options=["french", "english"], index=0)
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st.sidebar.text(f"Langue: {lang}")
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st.text("Entre ton texte ici:")
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text = st.text_area("Text", '', placeholder='entre ton texte ici')
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submit = st.button("Convertir")
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if submit:
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st.markdown(f"{split_tokens(text, lang)}")
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st.markdown("Développé avec ❤ par [François Pelletier](https://linktr.ee/jevalideca)")
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st.markdown("Si tu veux, toi aussi, apprendre à créer tes propres apps, [Y'app pas d'problème]("
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"https://jevalide.ca/yapp). Inscris-toi sans aucun engagement ! Lancement en mai 2023")
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def main():
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write_app()
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if __name__ == "__main__":
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main()
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