GPT-2.py<\/p>\n\n\n\n
from flask import Flask, render_template, request, redirect, url_for\nfrom transformers import GPT2Tokenizer, GPT2LMHeadModel\nimport wikipedia\n\napp = Flask(__name__)\n\n# GPT-2\u306e\u30c8\u30fc\u30af\u30ca\u30a4\u30b6\u30fc\u3068\u30e2\u30c7\u30eb\u3092\u30ed\u30fc\u30c9\ntokenizer = GPT2Tokenizer.from_pretrained("gpt2")\nmodel = GPT2LMHeadModel.from_pretrained("gpt2")\n\n@app.route('\/')\ndef index():\n return render_template('index.html')\n\n@app.route('\/generate', methods=['POST'])\ndef generate_text():\n # \u30e6\u30fc\u30b6\u30fc\u304b\u3089\u306e\u5165\u529b\u3092\u53d6\u5f97\n prompt_text = request.form['prompt']\n \n try:\n # Wikipedia\u304b\u3089\u30c6\u30ad\u30b9\u30c8\u3092\u53d6\u5f97\n wikipedia_text = wikipedia.summary(prompt_text)\n \n # \u30c6\u30ad\u30b9\u30c8\u306e\u751f\u6210\n inputs = tokenizer.encode(wikipedia_text, return_tensors="pt")\n outputs = model.generate(inputs, max_length=100, num_return_sequences=1, temperature=0.7)\n \n # \u751f\u6210\u3055\u308c\u305f\u30c6\u30ad\u30b9\u30c8\u3092\u30c7\u30b3\u30fc\u30c9\u3057\u3066HTML\u30b3\u30fc\u30c9\u306b\u7d44\u307f\u8fbc\u3080\n generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)\n \n # \u751f\u6210\u3055\u308c\u305f\u30c6\u30ad\u30b9\u30c8\u3068Wikipedia\u306e\u30c6\u30ad\u30b9\u30c8\u3068\u5171\u306bHTML\u3092\u8fd4\u3059\n return render_template('index.html', prompt_text=prompt_text, generated_text=generated_text, wikipedia_text=wikipedia_text)\n \n except wikipedia.exceptions.DisambiguationError as e:\n # \u66d6\u6627\u6027\u304c\u3042\u308b\u5834\u5408\u306f\u3001\u5019\u88dc\u306e\u30ea\u30b9\u30c8\u3092\u8868\u793a\n options = e.options\n return render_template('disambiguation.html', options=options)\n \n except wikipedia.exceptions.PageError:\n wikipedia_text = "Wikipedia\u306b\u305d\u306e\u30c8\u30d4\u30c3\u30af\u304c\u898b\u3064\u304b\u308a\u307e\u305b\u3093\u3067\u3057\u305f\u3002"\n return render_template('index.html', prompt_text=prompt_text, wikipedia_text=wikipedia_text)\n\n@app.route('\/generate_with_option\/<option>', methods=['GET'])\ndef generate_with_option(option):\n try:\n # Wikipedia\u304b\u3089\u30c6\u30ad\u30b9\u30c8\u3092\u53d6\u5f97\n wikipedia_text = wikipedia.summary(option)\n \n # \u30c6\u30ad\u30b9\u30c8\u306e\u751f\u6210\n inputs = tokenizer.encode(wikipedia_text, return_tensors="pt")\n outputs = model.generate(inputs, max_length=100, num_return_sequences=1, temperature=0.7)\n \n # \u751f\u6210\u3055\u308c\u305f\u30c6\u30ad\u30b9\u30c8\u3092\u30c7\u30b3\u30fc\u30c9\u3057\u3066HTML\u30b3\u30fc\u30c9\u306b\u7d44\u307f\u8fbc\u3080\n generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)\n \n # \u751f\u6210\u3055\u308c\u305f\u30c6\u30ad\u30b9\u30c8\u3068Wikipedia\u306e\u30c6\u30ad\u30b9\u30c8\u3068\u5171\u306bHTML\u3092\u8fd4\u3059\n return render_template('index.html', prompt_text=option, generated_text=generated_text, wikipedia_text=wikipedia_text)\n \n except wikipedia.exceptions.PageError:\n wikipedia_text = "Wikipedia\u306b\u305d\u306e\u30c8\u30d4\u30c3\u30af\u304c\u898b\u3064\u304b\u308a\u307e\u305b\u3093\u3067\u3057\u305f\u3002"\n return render_template('index.html', prompt_text=option, wikipedia_text=wikipedia_text)\n\nif __name__ == '__main__':\n app.run(debug=True)\n<\/code><\/pre><\/div>\n\n\n\ntemplates\/index.html<\/p>\n\n\n\n
<!DOCTYPE html>\n<html lang="en">\n<head>\n <meta charset="UTF-8">\n <meta name="viewport" content="width=device-width, initial-scale=1.0">\n <title>Generate Text<\/title>\n <style>\n body {\n font-family: Arial, sans-serif;\n margin: 0;\n padding: 0;\n background-color: #f4f4f4;\n }\n\n h1 {\n text-align: center;\n margin-top: 50px;\n }\n\n form {\n max-width: 600px;\n margin: 0 auto;\n padding: 20px;\n background-color: #fff;\n border-radius: 8px;\n box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);\n }\n\n label {\n font-weight: bold;\n }\n\n input[type="text"] {\n width: 100%;\n padding: 10px;\n margin: 10px 0;\n border: 1px solid #ccc;\n border-radius: 4px;\n }\n\n button {\n padding: 10px 20px;\n background-color: #007bff;\n color: #fff;\n border: none;\n border-radius: 4px;\n cursor: pointer;\n transition: background-color 0.3s ease;\n }\n\n button:hover {\n background-color: #0056b3;\n }\n\n .response {\n max-width: 600px;\n margin: 20px auto;\n padding: 20px;\n background-color: #fff;\n border-radius: 8px;\n box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);\n }\n\n .generated-text {\n margin-top: 20px;\n }\n\n .tweet-link {\n display: block;\n margin-top: 10px;\n text-align: center;\n }\n <\/style>\n<\/head>\n<body>\n <h1>Generate Text<\/h1>\n <form action="\/generate" method="POST">\n <label for="prompt">Enter your prompt:<\/label><br>\n <input type="text" id="prompt" name="prompt"><br><br>\n <button type="submit">Generate<\/button>\n <\/form>\n\n <!-- \u751f\u6210\u3055\u308c\u305f\u30c6\u30ad\u30b9\u30c8\u3092\u8868\u793a -->\n {% if generated_text %}\n <div class="response">\n <h2>Generated Text:<\/h2>\n <p class="generated-text">{{ generated_text }}<\/p>\n <a href="https:\/\/twitter.com\/intent\/tweet?text={{ generated_text }}" class="tweet-link" target="_blank">Tweet<\/a>\n <\/div>\n {% endif %}\n<\/body>\n<\/html>\n<\/code><\/pre><\/div>\n\n\n\ntemplates\/disambiguation.html<\/p>\n\n\n\n
<!DOCTYPE html>\n<html lang="en">\n<head>\n <meta charset="UTF-8">\n <meta name="viewport" content="width=device-width, initial-scale=1.0">\n <title>Disambiguation Page<\/title>\n<\/head>\n<body>\n <h1>Disambiguation<\/h1>\n <p>Multiple meanings were found for the provided prompt. Please select the intended meaning:<\/p>\n <ul>\n {% for option in options %}\n <li><a href="{{ url_for('generate_with_option', option=option) }}">{{ option }}<\/a><\/li>\n {% endfor %}\n <\/ul>\n<\/body>\n<\/html>\n<\/code><\/pre><\/div>\n","protected":false},"excerpt":{"rendered":"GPT-2.py templates\/index.html templates\/disambiguation.html<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[55,81,80,4,65],"tags":[30,42,3,39],"class_list":["post-18947","post","type-post","status-publish","format-standard","hentry","category-ai","category-css","category-html","category-programming","category-python","tag-css","tag-html","tag-programming","tag-python"],"aioseo_notices":[],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/www.tyosuke20xx.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/18947","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.tyosuke20xx.com\/blog\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.tyosuke20xx.com\/blog\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.tyosuke20xx.com\/blog\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.tyosuke20xx.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=18947"}],"version-history":[{"count":4,"href":"http:\/\/www.tyosuke20xx.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/18947\/revisions"}],"predecessor-version":[{"id":18958,"href":"http:\/\/www.tyosuke20xx.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/18947\/revisions\/18958"}],"wp:attachment":[{"href":"http:\/\/www.tyosuke20xx.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=18947"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.tyosuke20xx.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=18947"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.tyosuke20xx.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=18947"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}