OyelolaIbrahim/Developing-a-simple-chatbot-using-python-and-deep-learning
SUMMARY AI summary by gpt-5-mini
CloudyML ChatbotはPythonで構築された深層学習ベースの会話チャットボットで、FlaskによるブラウザUIで動作します。目的は手作業ルールではなくニューラルネットワークで入力の「インテント」を分類し、55以上のカテゴリから適切な応答を返すことです。主な処理はNLTKでのトークン化とWordNetによるレマタイズ、Bag-of-Wordsによる特徴化、128→64→出力の3層Denseネットワーク(Dropoutあり)による分類です。学習はSGD(Nesterov、lr=0.01、epochs=150、batch=5)で行い、モデル(.h5)と語彙・クラス(words.pkl、classes.pkl)を保存して運用します。Flaskは'/'でインタフェース、'/get'でメッセージ受信を提供し、信頼度0.25未満の予測は除外します。開発者や学習者、プロトタイピング用途に適しており、intents.jsonを編集してトピックや応答を拡張できます。起動手順は依存関係をインストール後に python train.py(初回学習)、続けて python app.py でサーバ起動です。
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| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 18:19 |
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