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Karroyan
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Jinnyyy commited on
Commit
7b014db
·
1 Parent(s): bc97a74

add all wyy songs

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Files changed (50) hide show
  1. clip_song_prompt.txt +11 -0
  2. crawl_wyy.py +97 -0
  3. download_song/1355478046.mp3 +3 -0
  4. download_song/1381373695.mp3 +3 -0
  5. download_song/1412022124.mp3 +3 -0
  6. download_song/1423551503.mp3 +3 -0
  7. download_song/1430576536.mp3 +3 -0
  8. download_song/1493729601.mp3 +3 -0
  9. download_song/1805088422.mp3 +3 -0
  10. download_song/1807582541.mp3 +3 -0
  11. download_song/1810934723.mp3 +3 -0
  12. download_song/1819956500.mp3 +3 -0
  13. download_song/1823316448.mp3 +3 -0
  14. download_song/1831964843.mp3 +3 -0
  15. download_song/1841382656.mp3 +3 -0
  16. download_song/1850078221.mp3 +3 -0
  17. download_song/1850859749.mp3 +3 -0
  18. download_song/1852733286.mp3 +3 -0
  19. download_song/1853305366.mp3 +3 -0
  20. download_song/1854848174.mp3 +3 -0
  21. download_song/1855080138.mp3 +3 -0
  22. download_song/1855674559.mp3 +3 -0
  23. download_song/1860310179.mp3 +3 -0
  24. download_song/1866770024.mp3 +3 -0
  25. download_song/1869966840.mp3 +3 -0
  26. download_song/1878328194.mp3 +3 -0
  27. download_song/1887473263.mp3 +3 -0
  28. download_song/1889004753.mp3 +3 -0
  29. download_song/1889903370.mp3 +3 -0
  30. download_song/1892247518.mp3 +3 -0
  31. download_song/1892314648.mp3 +3 -0
  32. download_song/1893385346.mp3 +3 -0
  33. download_song/1896191510.mp3 +3 -0
  34. download_song/1898855131.mp3 +3 -0
  35. download_song/1899745164.mp3 +3 -0
  36. download_song/1902836118.mp3 +3 -0
  37. download_song/1904625414.mp3 +3 -0
  38. download_song/1908315696.mp3 +3 -0
  39. download_song/1909357897.mp3 +3 -0
  40. download_song/1916699075.mp3 +3 -0
  41. download_song/1929341599.mp3 +3 -0
  42. download_song/1930058039.mp3 +3 -0
  43. download_song/1934025428.mp3 +3 -0
  44. download_song/1938534791.mp3 +3 -0
  45. download_song/1938694697.mp3 +3 -0
  46. download_song/1941721724.mp3 +3 -0
  47. download_song/1944427989.mp3 +3 -0
  48. download_song/1945894789.mp3 +3 -0
  49. download_song/1945895726.mp3 +3 -0
  50. download_song/1945895727.mp3 +3 -0
clip_song_prompt.txt ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ## Role
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+ 你是一个专业的音乐人，擅长根据歌词推断歌曲结构，并将歌曲划分为双人合唱的结构。
3
+
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+ ## Task
5
+ - 你需要先给出划分段落为双人合唱的几种模板
6
+ - 当我给你一首歌时，你需要判断歌曲的结构，并根据上述模板给出多种不同的合唱切割方式
7
+ - 每种切割方式，请说明这样切割的理由与优点
8
+
9
+ ## Tips
10
+ - 合唱的目的是为了让双方有情感互动
11
+ - 你需要注意歌曲的情感变化和叙事感
crawl_wyy.py ADDED
@@ -0,0 +1,97 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import requests
2
+ import json
3
+ import pandas as pd
4
+ import pickle
5
+ import csv
6
+ import time
7
+
8
+ def fetch_search_results(song):
9
+ url = f"https://netease.opendilab.org.cn/search?keywords={song}"
10
+
11
+ response = requests.get(url)
12
+
13
+ if response.status_code == 200:
14
+ json_data = response.json()
15
+
16
+ song_list = json_data['result']['songs']
17
+ return [{'id': each_song['id'], 'name': each_song['name'], 'artists': [each_artists['name'] for each_artists in each_song['artists']]} for each_song in song_list]
18
+ else:
19
+ print(f"请求失败，歌曲：{song}, 状态码: {response.status_code}")
20
+ return None
21
+
22
+ def fetch_download_url(song):
23
+ url = f'https://netease.opendilab.org.cn/song/url?id={song["id"]}'
24
+
25
+ response = requests.get(url)
26
+ if response.status_code == 200:
27
+ json_data=response.json()
28
+
29
+ song_url = json_data['data'][0]['url']
30
+ if song_url:
31
+ song['url'] = song_url
32
+ return song # key: id, name, artists, url
33
+ else:
34
+ return None
35
+
36
+ def download_song(song_dict, save_dir):
37
+ response = requests.get(song_dict['url'], stream=True)
38
+
39
+ if response.status_code == 200:
40
+ with open(f'{save_dir}/{song_dict["id"]}.mp3', 'wb') as file:
41
+ for chunk in response.iter_content(chunk_size=8192):
42
+ file.write(chunk)
43
+ print(f"Save:{song_dict['id']}.mp3")
44
+ return f'{save_dir}/{song_dict["id"]}.mp3'
45
+ else:
46
+ print(f"下载失败，状态码: {response.status_code}")
47
+ return None
48
+
49
+ def write_dict_csv(dict_list, csv_path):
50
+ if not dict_list:
51
+ print("No dict")
52
+ return
53
+
54
+ headers = dict_list[0].keys()
55
+ with open(csv_path, 'a', newline='', encoding='utf-8') as csvfile:
56
+ writer = csv.DictWriter(csvfile, fieldnames=headers)
57
+
58
+ writer.writeheader()
59
+
60
+ for d in dict_list:
61
+ writer.writerow(d)
62
+
63
+ print(f"Data written in {csv_path}")
64
+
65
+ def read_from_excel(file_path, column_name):
66
+ df = pd.read_excel(file_path)
67
+ song_names = df[column_name].tolist()
68
+
69
+ return song_names
70
+
71
+ if __name__ == "__main__":
72
+ keywords = read_from_excel('/mnt/afs/niuyazhe/data/acappella/song_to_crawl.xlsx', '歌名')
73
+ save_dir = '/mnt/afs/niuyazhe/data/acappella/download_song'
74
+
75
+ success_list = []
76
+
77
+ for idx, keyword in enumerate(keywords[28:]):
78
+ print(f'Downloading keyword: {keyword}')
79
+ song_list = fetch_search_results(keyword) # all the song_id in id_list
80
+ count = 0
81
+ for song in song_list:
82
+ print(f'\tDownloading song: {song}')
83
+ result = fetch_download_url(song)
84
+ if result:
85
+ count += 1
86
+ # if idx <= 8:
87
+ # save_path = f'{save_dir}/{song["id"]}.mp3'
88
+ # else:
89
+ (f'\t\tDownloading...')
90
+ save_path = download_song(result, save_dir)
91
+ if save_path:
92
+ result['save_path'] = save_path
93
+ success_list.append(result)
94
+ write_dict_csv(success_list, f'{save_dir}/song_list.csv')
95
+ time.sleep(120)
96
+ if count >= 5:
97
+ break
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download_song/1945895726.mp3 ADDED
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download_song/1945895727.mp3 ADDED
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