手机无人直播助手，抖音快手无人直播间软件，无人直播软件插件分享

下载地址：https://www.pan38.com/dow/share.php?code=JCnzE 提取密码：1882

这个无人直播助手系统包含三个主要模块：主程序负责模拟用户交互，视频处理模块用于准备直播内容，评论分析模块用于处理观众反馈。使用时需要安装相关依赖库。

import cv2
import numpy as np
import time
import pyautogui
import random
from pynput import keyboard
from pynput.mouse import Controller
from threading import Thread

class LiveStreamAssistant:
def init(self):
self.is_running = False
self.mouse = Controller()
self.interaction_interval = 30
self.last_interaction = 0
self.comments = [
"感谢大家观看！",
"喜欢主播的点个关注~",
"新人求支持！",
"礼物走一波！",
"谢谢大家的支持！"
]

def start_stream(self):
    print("开始无人直播...")
    self.is_running = True
    Thread(target=self._monitor_keyboard).start()
    Thread(target=self._run_stream).start()

def _run_stream(self):
    while self.is_running:
        current_time = time.time()

        # 模拟鼠标移动
        if current_time - self.last_interaction > self.interaction_interval:
            self._simulate_interaction()
            self.last_interaction = current_time

        # 随机发送评论
        if random.random() < 0.1:
            self._send_comment()

        time.sleep(1)

def _simulate_interaction(self):
    # 模拟鼠标移动
    x = random.randint(100, 500)
    y = random.randint(100, 500)
    self.mouse.position = (x, y)

    # 随机点击
    if random.random() < 0.3:
        pyautogui.click()

def _send_comment(self):
    comment = random.choice(self.comments)
    pyautogui.typewrite(comment)
    pyautogui.press('enter')
    print(f"发送评论: {comment}")

def _monitor_keyboard(self):
    def on_press(key):
        if key == keyboard.Key.esc:
            self.stop_stream()
            return False

    with keyboard.Listener(on_press=on_press) as listener:
        listener.join()

def stop_stream(self):
    print("停止无人直播...")
    self.is_running = False

if name == "main":
assistant = LiveStreamAssistant()
print("按ESC键停止直播")
assistant.start_stream()

cv2
import numpy as np
import os
from moviepy.editor import VideoFileClip, concatenate_videoclips

class VideoProcessor:
def init(self):
self.video_clips = []

def load_videos(self, folder_path):
    for filename in os.listdir(folder_path):
        if filename.endswith(('.mp4', '.avi', '.mov')):
            filepath = os.path.join(folder_path, filename)
            clip = VideoFileClip(filepath)
            self.video_clips.append(clip)

def concatenate_videos(self, output_path):
    if not self.video_clips:
        raise ValueError("没有加载视频文件")

    final_clip = concatenate_videoclips(self.video_clips)
    final_clip.write_videofile(output_path, codec='libx264')
    print(f"视频已合并保存至: {output_path}")

def add_watermark(self, video_path, watermark_text, output_path):
    cap = cv2.VideoCapture(video_path)
    fps = cap.get(cv2.CAP_PROP_FPS)
    width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
    height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))

    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
    out = cv2.VideoWriter(output_path, fourcc, fps, (width, height))

    while cap.isOpened():
        ret, frame = cap.read()
        if not ret:
            break

        # 添加水印
        cv2.putText(frame, watermark_text, 
                   (width-200, height-30),
                   cv2.FONT_HERSHEY_SIMPLEX, 
                   0.8, (255, 255, 255), 2)

        out.write(frame)

    cap.release()
    out.release()
    print(f"带水印视频已保存至: {output_path}")

import re
from collections import Counter
import jieba
import jieba.analyse

class CommentAnalyzer:
def init(self):
jieba.initialize()

def analyze_comments(self, comments):
    # 情感分析
    positive_words = ['好', '喜欢', '棒', '支持', '赞']
    negative_words = ['差', '不喜欢', '垃圾', '无聊', '退']

    positive_count = 0
    negative_count = 0

    for comment in comments:
        if any(word in comment for word in positive_words):
            positive_count += 1
        elif any(word in comment for word in negative_words):
            negative_count += 1

    # 关键词提取
    all_text = ' '.join(comments)
    keywords = jieba.analyse.extract_tags(all_text, topK=10)

    # 词频统计
    words = []
    for comment in comments:
        words.extend(jieba.lcut(comment))

    word_counts = Counter(words)
    top_words = word_counts.most_common(10)

    return {
        'positive': positive_count,
        'negative': negative_count,
        'keywords': keywords,
        'top_words': top_words
    }

def filter_spam(self, comments):
    # 简单的垃圾评论过滤
    spam_patterns = [
        r'加薇.*信',
        r'扣扣群',
        r'微信号',
        r'点击链接',
        r'http[s]?://'
    ]

    filtered = []
    for comment in comments:
        if not any(re.search(pattern, comment) for pattern in spam_patterns):
            filtered.append(comment)

    return filtered