dialogue = "Hello adventurer!\nWelcome to the world of Python." print(dialogue) 二十八、在嵌入式系统编程中的换行 在嵌入式系统编程中,处理长的指令和数据时,换行符可以提高代码的可读性和可维护性。 const char *message = "Hello\nWorld"; printf("%s",
"""Builds a dialogue in ChatML format.""" messages = [] for i, turn in enumerate(conversations): role = 'user' if i % 2 == 0 else 'assistant' messages.append({"role": role, "content": turn['content']}) return self.tokenizer.apply_chat_template( messages, tokenize=False, add_...
predict()['result'][0] #调用百度AI接口, 将录音转化为文本信息 print("本人说:", text) #输出文本信息 response_dialogue = talkWithRobot(text) #调用青云客机器人回答文本信息并返回 print("青云客说:", response_dialogue) #输出回答文本信息 robotSay.say(response_dialogue) #播放回答信息 运行结果(...
defpreprocess_data(file_path):withopen(file_path,'r')asfile:lines=file.readlines()questions=[]answers=[]forlineinlines:question,answer=line.strip().split('\t')questions.append(question.lower())answers.append(answer.lower())returnquestions,answers questions,answers=preprocess_data('dialogue.txt')...
while True: speak.my_record() # 录音 text = readTalk.predict()['result'][0] # 调用百度ai接口,将录音转化为文本信息 print("问:", text) # 输出文本信息 response_dialogue = talkWithRobot(text) # 调用青云客机器人回答文本信息并返回 print("答:", response_dialogue) # 输出回答文本信息 robot...
Richer linguistic content is available from some corpora, such as part-of-speech tags, dialogue tags, syntactic trees, and so forth; we will see these in later chapters. Web and Chat Text Web和聊天文本 Although Project Gutenberg contains thousands of books, it represents established literature....
"本人说:", text) #输出文本信息 response_dialogue = talkWithRobot(text) #调用青云客机...
format(subtitle_format)) else: print("the structrue of the subtitle can not be processed by this py file") return text_num def line_filter(line): if len(line) == 0: return 1 if ("Dialogue") not in line: return 1 else: return 0 def get_time_and_text(new_subtitle, text_num):...
def dialogue_function(self): """ 模拟对话 :return: """ # 清空界面 self.clear_all() # 标签控件 lb2['text'] = '请输入您的对话:' bt1['text'] = '发送' # 渲染控件到窗口 lb2.pack() content.pack() bt1.pack() # 按钮点击事件 ...
A simple robot dialogue is implemented above, For testing with Python you can use the librariespytestandpytest-runner. Install the library in your virtual environment: 代码语言:python 代码运行次数:0 运行 AI代码解释 pip install pytest pip install pytest-runner ...