nlp = spacy.load('en')#Loads the spacy en model into a python objectdoc = nlp(u'I am learning how to build chatbots')#Creates a doc objectfortokenindoc:print(token.text, token.pos_)#prints the text and POS 输出: ('I','PRON') ('am','VERB') ('learning','VERB') ('how','...
The speech-to-text capability is combined with NLP capabilities to extract intent and context from spoken language, allowing the chatbot to understand and respond to user requests more intelligently.Chat with your unstructured dataGet responses using natural language...
After creating your cleaning module, you can now head back over tobot.pyand integrate the code into your pipeline. Remove ads Step 5: Train Your Chatbot on Custom Data and Start Chatting In this step, you’ll train your chatbot with the WhatsApp conversation data that you cleaned in the ...
chatbot=ChatBot('XiaoMu')# Create a new trainer for the chatbottrainer=ChatterBotCorpusTrainer(chatbot)# Train the chatbot based on the english corpustrainer.train("chatterbot.corpus.english")# Get a response to an input statementres=chatbot.get_response("Hello, how are you today?")print(res)r...
大佬整理的语料库地址:https:///codemayq/chinese_chatbot_corpus chatterbot自带的语料库可以通过以下代码来实现,不需要额外下载: from chatterbot.trainers import ChatterBotCorpusTrainer chatterbot = ChatBot("Training Example") chatterbot.set_trainer(ChatterBotCorpusTrainer) ...
Sample Code (with wikipedia search API integration) fromchatbotimportChat,register_callimportwikipedia@register_call("whoIs")defwho_is(session,query):try:returnwikipedia.summary(query)exceptException:fornew_queryinwikipedia.search(query):try:returnwikipedia.summary(new_query)exceptException:passreturn"I ...
Code Sample 05/18/2024 Browse code This repository implements a data analytics chatbot based on the Assistants API. The chatbot can answer questions in natural language, and interpret them as queries on an example sales dataset. This document focused on instructions for...
Prompt Engineering: A Practical Example Build an LLM RAG Chatbot With LangChain Some of the benefits of using ChatGPT to write tests for your Python code include the following: Efficiency and speed: It can generate unit tests based on specifications or code snippets. This possibility significantly...
For example, the following prompt informs the model that it should generate a conversation with a sarcastic pizza chef. It then asks a question from the chef and lets the model generate the response. # conversation with a sarcastic Pizza chef chatbotprompt_text=""" The following is a conversa...
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