{"id":2658,"date":"2022-07-04T10:46:50","date_gmt":"2022-07-04T10:46:50","guid":{"rendered":"https:\/\/mtsmugorontalo.sch.id\/?p=2658"},"modified":"2023-04-03T05:23:25","modified_gmt":"2023-04-03T05:23:25","slug":"building-a-rule-based-chatbot-in-python","status":"publish","type":"post","link":"https:\/\/mtsmugorontalo.sch.id\/index.php\/2022\/07\/04\/building-a-rule-based-chatbot-in-python\/","title":{"rendered":"Building a rule-based chatbot in Python"},"content":{"rendered":"

The more plentiful and high-quality your training data is, the better your chatbot\u2019s responses will be. Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. Recall that if an error is returned by the OpenWeather API, you print the error code to the terminal, and the get_weather() function returns None. In this code, you first check whether the get_weather() function returns None. If it doesn\u2019t, then you return the weather of the city, but if it does, then you return a string saying something went wrong. The final else block is to handle the case where the user\u2019s statement\u2019s similarity value does not reach the threshold value.<\/p>\n<\/ul>\n