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Parent(s):
73df650
Update app.py
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app.py
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@@ -1,27 +1,55 @@
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return render_template('index.html')
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headers = {
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'Content-Type': 'application/json',
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}
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data = {"text": text}
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response = requests.post('https://api.openai.com/v1/engines/paraphrase/jobs', headers=headers, json=data)
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if response.status_code == 200:
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response_text = response.json()['choices'][0]['text']
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return render_template('paraphrase.html', response_text=response_text)
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else:
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return 'An error occured'
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app.run(host="0.0.0.0", port=7860)
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import gradio as gr
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from bs4 import BeautifulSoup
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from nltk.tokenize import word_tokenize
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from nltk.corpus import wordnet
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import random
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def paraphrase_text(text):
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# Tokenize the text
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tokens = word_tokenize(text)
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# Create a list to hold the paraphrased words
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paraphrased_tokens = []
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for token in tokens:
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# Check if the token is a word
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if token.isalpha():
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# Get the synonyms of the word
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synonyms = []
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for syn in wordnet.synsets(token):
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for lemma in syn.lemmas():
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if lemma.name() != token:
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synonyms.append(lemma.name())
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# If there are synonyms available, choose a random one
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if synonyms:
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paraphrased_word = random.choice(synonyms)
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# If no synonyms are available, use the original word
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else:
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paraphrased_word = token
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# If the token is not a word, use it as-is
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else:
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paraphrased_word = token
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# Add the paraphrased word to the list
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paraphrased_tokens.append(paraphrased_word)
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# Join the paraphrased tokens back into a string
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paraphrased_text = ' '.join(paraphrased_tokens)
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return paraphrased_text
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def paraphrase_html(html_text):
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# Parse the HTML using BeautifulSoup
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soup = BeautifulSoup(html_text, 'html.parser')
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# Find all the text nodes in the HTML
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text_nodes = soup.find_all(text=True)
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# Paraphrase the text nodes
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for node in text_nodes:
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node.replace_with(paraphrase_text(node.string))
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# Return the paraphrased HTML
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paraphrased_html = str(soup)
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return paraphrased_html
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inputs = gr.inputs.Textbox(label="Enter HTML text to paraphrase")
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outputs = gr.outputs.HTML(label="Paraphrased HTML")
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title = "HTML Paraphraser"
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description = "Enter HTML text and get a paraphrased version in HTML format."
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examples = [["<p>This is some <b>HTML</b> text to paraphrase.</p>"]]
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gr.Interface(paraphrase_html, inputs, outputs, title=title, description=description, examples=examples).launch()
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