You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
60 lines
2.0 KiB
60 lines
2.0 KiB
3 months ago
|
|
||
|
|
import pandas as pd
|
||
|
|
from get_300urls import get_300videos_urls
|
||
|
|
from get_danmu_about_AI import danmu_about_AI
|
||
|
|
from generate_gif import generate_
|
||
|
|
|
||
|
|
def main():
|
||
|
|
# 定义与 AI 技术相关的关键字
|
||
|
|
AI_TECH_KEYWORDS = {
|
||
|
|
"直播转播8K超高清": ["直播转播", "8K", "超高清"],
|
||
|
|
"智能辅助解说": ["智能", "智能解说", "辅助解说"],
|
||
|
|
"训练监测辅助": ["训练监测"],
|
||
|
|
"实时打分量化分析": ["打分", "实时", "量化分析"],
|
||
|
|
"3D全息视频技术": ["3D", "全息", "视频技术"],
|
||
|
|
"无障碍建设为视障人士搭建设施": ["无障碍设施", "视障"],
|
||
|
|
"赛时安保辅助赛事管理": ["安保", "赛事管理"],
|
||
|
|
"信息咨询运动员专属GPT": ["信息咨询", "GPT"],
|
||
|
|
"智能裁判系统精确计算分数": ["智能裁判", "系统计算"],
|
||
|
|
"舆情监测实时侦测": ["舆情", "监测", "侦测"],
|
||
|
|
"媒资修复史料焕新": ["媒资", "修复", "史料"]
|
||
|
|
}
|
||
|
|
|
||
|
|
# 关键词搜索
|
||
|
|
key = "2024巴黎奥运会"
|
||
|
|
|
||
|
|
try:
|
||
|
|
urls = get_300videos_urls(key) # 获取 300 个视频的 URL
|
||
|
|
except Exception as e:
|
||
|
|
print(f"Error fetching video URLs: {e}")
|
||
|
|
return
|
||
|
|
|
||
|
|
try:
|
||
|
|
top_8_danmu, top_8_AI = danmu_about_AI(urls, AI_TECH_KEYWORDS)
|
||
|
|
except Exception as e:
|
||
|
|
print(f"Error processing danmu data: {e}")
|
||
|
|
return
|
||
|
|
|
||
|
|
# 打印结果
|
||
|
|
print("Top 8 AI technologies:")
|
||
|
|
print(top_8_AI)
|
||
|
|
print("Top 8 danmu:")
|
||
|
|
print(top_8_danmu)
|
||
|
|
|
||
|
|
# 将弹幕数据写入 Excel 文件
|
||
|
|
try:
|
||
|
|
df = pd.DataFrame({'danmu': top_8_danmu})
|
||
|
|
df.to_excel("danmu_data.xlsx", index=False, engine='openpyxl')
|
||
|
|
except Exception as e:
|
||
|
|
print(f"Error saving data to Excel: {e}")
|
||
|
|
return
|
||
|
|
|
||
|
|
# 生成 GIF 文件
|
||
|
|
try:
|
||
|
|
generate_("danmu_data.xlsx")
|
||
|
|
except Exception as e:
|
||
|
|
print(f"Error generating GIF: {e}")
|
||
|
|
|
||
|
|
if __name__ == "__main__":
|
||
|
|
main()
|