Merge pull request #1026 from xinnan-tech/emote_switching

Emote switching
This commit is contained in:
CGD
2025-04-27 22:20:04 +08:00
committed by GitHub
3 changed files with 210 additions and 19 deletions
+14 -4
View File
@@ -441,11 +441,16 @@ class ConnectionHandler:
current_text = full_text[processed_chars:] # 从未处理的位置开始
# 查找最后一个有效标点
punctuations = ("", "", "", "", "")
punctuations = ("", ".", "", "?", "", "!", "", ";", "")
last_punct_pos = -1
number_flag = True
for punct in punctuations:
pos = current_text.rfind(punct)
if pos > last_punct_pos:
prev_char = current_text[pos - 1] if pos - 1 >= 0 else ""
# 如果.前面是数字统一判断为小数
if prev_char.isdigit() and punct == '.':
number_flag = False
if pos > last_punct_pos and number_flag:
last_punct_pos = pos
# 找到分割点则处理
@@ -567,11 +572,16 @@ class ConnectionHandler:
current_text = full_text[processed_chars:] # 从未处理的位置开始
# 查找最后一个有效标点
punctuations = ("", "", "", "", "")
punctuations = ("", ".", "", "?", "", "!", "", ";", "")
last_punct_pos = -1
number_flag = True
for punct in punctuations:
pos = current_text.rfind(punct)
if pos > last_punct_pos:
prev_char = current_text[pos - 1] if pos - 1 >= 0 else ""
# 如果.前面是数字统一判断为小数
if prev_char.isdigit() and punct == '.':
number_flag = False
if pos > last_punct_pos and number_flag:
last_punct_pos = pos
# 找到分割点则处理
@@ -4,14 +4,49 @@ import asyncio
import time
from core.utils.util import (
get_string_no_punctuation_or_emoji,
analyze_emotion
)
TAG = __name__
logger = setup_logging()
emoji_map = {
'neutral': '😶',
'happy': '🙂',
'laughing': '😆',
'funny': '😂',
'sad': '😔',
'angry': '😠',
'crying': '😭',
'loving': '😍',
'embarrassed': '😳',
'surprised': '😲',
'shocked': '😱',
'thinking': '🤔',
'winking': '😉',
'cool': '😎',
'relaxed': '😌',
'delicious': '🤤',
'kissy': '😘',
'confident': '😏',
'sleepy': '😴',
'silly': '😜',
'confused': '🙄'
}
async def sendAudioMessage(conn, audios, text, text_index=0):
# 发送句子开始消息
emotion = analyze_emotion(text)
emoji = emoji_map.get(emotion, '🙂') # 默认使用笑脸
await conn.websocket.send(json.dumps(
{
"type": "llm",
"text": emoji,
"emotion": emotion,
"session_id": conn.session_id,
}
)
)
if text_index == conn.tts_first_text_index:
logger.bind(tag=TAG).info(f"发送第一段语音: {text}")
await send_tts_message(conn, "sentence_start", text)
@@ -86,14 +121,4 @@ async def send_stt_message(conn, text):
await conn.websocket.send(
json.dumps({"type": "stt", "text": stt_text, "session_id": conn.session_id})
)
await conn.websocket.send(
json.dumps(
{
"type": "llm",
"text": "😊",
"emotion": "happy",
"session_id": conn.session_id,
}
)
)
await send_tts_message(conn, "start")
+161 -5
View File
@@ -7,7 +7,29 @@ from typing import Dict, Any
from core.utils import tts, llm, intent, memory, vad, asr
TAG = __name__
emoji_map = {
'neutral': '😶',
'happy': '🙂',
'laughing': '😆',
'funny': '😂',
'sad': '😔',
'angry': '😠',
'crying': '😭',
'loving': '😍',
'embarrassed': '😳',
'surprised': '😲',
'shocked': '😱',
'thinking': '🤔',
'winking': '😉',
'cool': '😎',
'relaxed': '😌',
'delicious': '🤤',
'kissy': '😘',
'confident': '😏',
'sleepy': '😴',
'silly': '😜',
'confused': '🙄'
}
def get_local_ip():
try:
@@ -90,13 +112,14 @@ def is_punctuation_or_emoji(char):
punctuation_set = {
"",
",", # 中文逗号 + 英文逗号
"",
".", # 中文句号 + 英文句号
"",
"!", # 中文感叹号 + 英文感叹号
"-",
"", # 英文连字符 + 中文全角横线
"", # 中文顿号
"",
"",
"\"", # 中文双引号 + 英文引号
"",
":", # 中文冒号 + 英文冒号
}
if char.isspace() or char in punctuation_set:
return True
@@ -329,3 +352,136 @@ def initialize_modules(
logger.bind(tag=TAG).info(f"初始化组件: prompt成功 {modules['prompt'][:50]}...")
return modules
def analyze_emotion(text):
"""
分析文本情感并返回对应的emoji名称(支持中英文)
"""
if not text or not isinstance(text, str):
return 'neutral'
original_text = text
text = text.lower().strip()
# 检查是否包含现有emoji
for emotion, emoji in emoji_map.items():
if emoji in original_text:
return emotion
# 标点符号分析
has_exclamation = '!' in original_text or '' in original_text
has_question = '?' in original_text or '' in original_text
has_ellipsis = '...' in original_text or '' in original_text
# 定义情感关键词映射(中英文扩展版)
emotion_keywords = {
'happy': ['开心', '高兴', '快乐', '愉快', '幸福', '满意', '', '', '不错', '完美', '棒极了', '太好了',
'好呀', '好的', 'happy', 'joy', 'great', 'good', 'nice', 'awesome', 'fantastic', 'wonderful'],
'laughing': ['哈哈', '哈哈哈', '呵呵', '嘿嘿', '嘻嘻', '笑死', '太好笑了', '笑死我了', 'lol', 'lmao', 'haha',
'hahaha', 'hehe', 'rofl', 'funny', 'laugh'],
'funny': ['搞笑', '滑稽', '', '幽默', '笑点', '段子', '笑话', '太逗了', 'hilarious', 'joke', 'comedy'],
'sad': ['伤心', '难过', '悲哀', '悲伤', '忧郁', '郁闷', '沮丧', '失望', '想哭', '难受', '不开心', '', '呜呜',
'sad', 'upset', 'unhappy', 'depressed', 'sorrow', 'gloomy'],
'angry': ['生气', '愤怒', '气死', '讨厌', '烦人', '可恶', '烦死了', '恼火', '暴躁', '火大', '愤怒', '气炸了',
'angry', 'mad', 'annoyed', 'furious', 'pissed', 'hate'],
'crying': ['哭泣', '泪流', '大哭', '伤心欲绝', '泪目', '流泪', '哭死', '哭晕', '想哭', '泪崩',
'cry', 'crying', 'tears', 'sob', 'weep'],
'loving': ['爱你', '喜欢', '', '亲爱的', '宝贝', '么么哒', '抱抱', '想你', '思念', '最爱', '亲亲', '喜欢你',
'love', 'like', 'adore', 'darling', 'sweetie', 'honey', 'miss you', 'heart'],
'embarrassed': ['尴尬', '不好意思', '害羞', '脸红', '难为情', '社死', '丢脸', '出丑',
'embarrassed', 'awkward', 'shy', 'blush'],
'surprised': ['惊讶', '吃惊', '天啊', '哇塞', '', '居然', '竟然', '没想到', '出乎意料',
'surprise', 'wow', 'omg', 'oh my god', 'amazing', 'unbelievable'],
'shocked': ['震惊', '吓到', '惊呆了', '不敢相信', '震撼', '吓死', '恐怖', '害怕', '吓人',
'shocked', 'shocking', 'scared', 'frightened', 'terrified', 'horror'],
'thinking': ['思考', '考虑', '想一下', '琢磨', '沉思', '冥想', '', '思考中', '在想',
'think', 'thinking', 'consider', 'ponder', 'meditate'],
'winking': ['调皮', '眨眼', '你懂的', '坏笑', '邪恶', '奸笑', '使眼色',
'wink', 'teasing', 'naughty', 'mischievous'],
'cool': ['', '', '厉害', '棒极了', '真棒', '牛逼', '', '优秀', '杰出', '出色', '完美',
'cool', 'awesome', 'amazing', 'great', 'impressive', 'perfect'],
'relaxed': ['放松', '舒服', '惬意', '悠闲', '轻松', '舒适', '安逸', '自在',
'relax', 'relaxed', 'comfortable', 'cozy', 'chill', 'peaceful'],
'delicious': ['好吃', '美味', '', '', '可口', '香甜', '大餐', '大快朵颐', '流口水', '垂涎',
'delicious', 'yummy', 'tasty', 'yum', 'appetizing', 'mouthwatering'],
'kissy': ['亲亲', '么么', '', 'mua', 'muah', '亲一下', '飞吻',
'kiss', 'xoxo', 'hug', 'muah', 'smooch'],
'confident': ['自信', '肯定', '确定', '毫无疑问', '当然', '必须的', '毫无疑问', '确信', '坚信',
'confident', 'sure', 'certain', 'definitely', 'positive'],
'sleepy': ['', '睡觉', '晚安', '想睡', '好累', '疲惫', '疲倦', '困了', '想休息', '睡意',
'sleep', 'sleepy', 'tired', 'exhausted', 'bedtime', 'good night'],
'silly': ['', '', '', '', '', '', '憨憨', '傻乎乎', '呆萌',
'silly', 'stupid', 'dumb', 'foolish', 'goofy', 'ridiculous'],
'confused': ['疑惑', '不明白', '不懂', '困惑', '疑问', '为什么', '怎么回事', '啥意思', '不清楚',
'confused', 'puzzled', 'doubt', 'question', 'what', 'why', 'how']
}
# 特殊句型判断(中英文)
# 赞美他人
if any(phrase in text for phrase in
['你真', '你好', '您真', '你真棒', '你好厉害', '你太强了', '你真好', '你真聪明',
'you are', 'you\'re', 'you look', 'you seem', 'so smart', 'so kind']):
return 'loving'
# 自我赞美
if any(phrase in text for phrase in ['我真', '我最', '我太棒了', '我厉害', '我聪明', '我优秀',
'i am', 'i\'m', 'i feel', 'so good', 'so happy']):
return 'cool'
# 晚安/睡觉相关
if any(phrase in text for phrase in ['睡觉', '晚安', '睡了', '好梦', '休息了', '去睡了',
'sleep', 'good night', 'bedtime', 'go to bed']):
return 'sleepy'
# 疑问句
if has_question and not has_exclamation:
return 'thinking'
# 强烈情感(感叹号)
if has_exclamation and not has_question:
# 检查是否是积极内容
positive_words = emotion_keywords['happy'] + emotion_keywords['laughing'] + emotion_keywords['cool']
if any(word in text for word in positive_words):
return 'laughing'
# 检查是否是消极内容
negative_words = emotion_keywords['angry'] + emotion_keywords['sad'] + emotion_keywords['crying']
if any(word in text for word in negative_words):
return 'angry'
return 'surprised'
# 省略号(表示犹豫或思考)
if has_ellipsis:
return 'thinking'
# 关键词匹配(带权重)
emotion_scores = {emotion: 0 for emotion in emoji_map.keys()}
# 给匹配到的关键词加分
for emotion, keywords in emotion_keywords.items():
for keyword in keywords:
if keyword in text:
emotion_scores[emotion] += 1
# 给长文本中的重复关键词额外加分
if len(text) > 20: # 长文本
for emotion, keywords in emotion_keywords.items():
for keyword in keywords:
emotion_scores[emotion] += text.count(keyword) * 0.5
# 根据分数选择最可能的情感
max_score = max(emotion_scores.values())
if max_score == 0:
return 'happy' # 默认
# 可能有多个情感同分,根据上下文选择最合适的
top_emotions = [e for e, s in emotion_scores.items() if s == max_score]
# 如果多个情感同分,使用以下优先级
priority_order = [
'laughing', 'crying', 'angry', 'surprised', 'shocked', # 强烈情感优先
'loving', 'happy', 'funny', 'cool', # 积极情感
'sad', 'embarrassed', 'confused', # 消极情感
'thinking', 'winking', 'relaxed', # 中性情感
'delicious', 'kissy', 'confident', 'sleepy', 'silly' # 特殊场景
]
for emotion in priority_order:
if emotion in top_emotions:
return emotion
return top_emotions[0] # 如果都不在优先级列表里,返回第一个