📅 最后修改于: 2023-12-03 14:45:56.582000 🧑 作者: Mango
Are you interested in building a chatbot with Python or enhancing the capabilities of your existing one? Github offers various Python chatbot projects that you can utilize to achieve your goals.
ChatterBot is a Python library that generates responses to user input. It uses a selection of machine learning algorithms to produce different types of responses. This library allows developers to train their chatbots with their desired dataset and achieve a better conversational engine.
Example usage of ChatterBot:
from chatterbot import ChatBot
from chatterbot.trainers import ChatterBotCorpusTrainer
chatbot = ChatBot('My Bot')
trainer = ChatterBotCorpusTrainer(chatbot)
# Train the chatbot
trainer.train("chatterbot.corpus.english.greetings",
"chatterbot.corpus.english.conversations")
# Get a response
response = chatbot.get_response("Hello, how are you?")
print(response)
Rasa NLU is an open-source natural language processing library for building chatbots and voice assistants. It provides several built-in components for various NLU tasks such as entity recognition, sentiment analysis, and intent classification. Rasa NLU allows developers to train their chatbots with their desired dataset and achieve a better conversational experience.
Example usage of Rasa NLU:
from rasa_nlu.training_data import load_data
from rasa_nlu.model import Trainer
from rasa_nlu import config
# Load the training data
training_data = load_data('data/training_data.json')
# Configure the pipeline for the chatbot
trainer = Trainer(config.load('config.yml'))
trainer.train(training_data)
# Get the chatbot model
model_directory = trainer.persist('./projects/default/')
# Test the chatbot model
from rasa_nlu.model import Metadata, Interpreter
interpreter = Interpreter.load(model_directory, Metadata())
response = interpreter.parse("Tell me a joke")
print(response)
BotUI is a chatbot framework that provides an easy-to-use and customizable interface for chatbots. It supports several chatbot platforms such as Dialogflow, Wit.ai, and Botpress. BotUI allows developers to build chatbots with a user-friendly interface that can handle complex conversations.
Example usage of BotUI:
<head>
<link rel="stylesheet" href="path/to/botui.min.css"/>
<link rel="stylesheet" href="path/to/botui-theme-default.css"/>
</head>
<body>
<div class="botui-app-container" id="chatbot">
<bot-ui></bot-ui>
</div>
<script src="path/to/botui.min.js"></script>
<script>
var botui = new BotUI('chatbot');
botui.message.bot({
content: 'Hello! How may I assist you?'
});
botui.message.human({
content: 'I want to know about your services'
});
botui.message.bot({
content: 'We offer various services such as X, Y, and Z.'
});
</script>
</body>
Python Chatbot on Github is a great resource for developers who want to build and enhance the capabilities of their chatbots. These Python libraries and frameworks allow developers to create intelligent and interactive chatbots that can handle complex conversations with ease.