Spaces:
Running
Running
ziqiangao
commited on
Commit
·
78dd807
1
Parent(s):
011064a
Implemet Lyrics
Browse files- LRC.py +1 -1
- LRC2SRT.py +82 -0
- app.py +22 -3
LRC.py
CHANGED
@@ -14,7 +14,7 @@ def safe_read(i, a):
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def get_line_info(linein):
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# Extract minutes and seconds, handle potential issues with slicing and conversion
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minutes = float(linein[1:3])
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-
seconds = float(linein[
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lt = minutes * 60 + seconds
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line = ""
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i = 10
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def get_line_info(linein):
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# Extract minutes and seconds, handle potential issues with slicing and conversion
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minutes = float(linein[1:3])
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seconds = float(linein[4:9])
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lt = minutes * 60 + seconds
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line = ""
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i = 10
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LRC2SRT.py
ADDED
@@ -0,0 +1,82 @@
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import os
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import LRC as Parse
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SRT = []
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LRC = []
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def safe_read(i, a):
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if i > len(a):
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return None
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else:
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return a[i]
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def clear():
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global SRT
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SRT = []
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def convert_time(sec):
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t = ""
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t += str(int(sec//3600)).rjust(2, "0")
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t += ':'
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t += str(int(sec%3600//60)).rjust(2, "0")
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t += ':'
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t += str(int(sec%3600%60//1)).rjust(2, "0")
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t += ','
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t += str(round(sec%3600%60%1*1000)).rjust(3, "0")
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return t
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def add_chunk(line, start, end, number):
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global SRT
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SRT.append(str(number))
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SRT.append(convert_time(float(start)) + " --> " + convert_time(float(end)))
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SRT.append(line)
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SRT.append("")
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def load(input: str):
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global LRC
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LRC = input.split("\n")
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def convert_line(number, chunk):
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m = chunk
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info = Parse.get_line_info(LRC[number])
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if number+1 < len(LRC):
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info1 = Parse.get_line_info(LRC[number+1])
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print(info)
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tmp = ""
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i = 0
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if not info.get("wordbreaks"):
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add_chunk(info.get('line'),info.get('time'),info1.get('time'),m)
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return
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tmp = info.get('line')[0:info.get('wordbreaks')[0]-1]
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if tmp:
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add_chunk(tmp,info.get('time'),info.get('wordtimes')[0],m)
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while i <= len(info.get('wordtimes')) - 1:
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if tmp:
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m += 1
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if i+1 > len(info.get('wordtimes')):
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add_chunk(info.get('line'),info.get('wordtimes')[i],info1.get('time'),m)
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else:
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if i+1 < len(info.get('wordbreaks')):
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tmp = info.get('line')[0:info.get('wordbreaks')[i+1]-1]
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add_chunk(tmp,info.get('wordtimes')[i],info.get('wordtimes')[i+1],m)
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i += 1
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def convert_to_srt(ly):
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load(Parse.remove_metadata(ly))
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i = 0
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e = 1
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while i < len(LRC):
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convert_line(i,e)
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i += 1
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e = int(SRT[len(SRT)-4])+1
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if __name__ == "__main__":
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kk = open(".lrc", encoding="UTF8")
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convert_to_srt(kk.read())
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print('\n'.join(SRT))
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if os.path.exists("out.srt"):
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os.remove("out.srt")
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open("out.srt", mode='x', encoding='UTF8').write('\n'.join(SRT))
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app.py
CHANGED
@@ -15,6 +15,8 @@ import subprocess
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import traceback
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import time
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import shutil
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path = "" # Update with your path
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@@ -156,16 +158,33 @@ def RenderVid(af, n, fps=30):
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)
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gr.Interface.download(f"{n}.mp4")
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-
def main(file, name, fps=30, res: tuple=(1280,720), oscres=512, sr=11025):
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os.makedirs(path+f'out/{name}/', exist_ok=True)
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global iii
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iii = 0
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# Load the audio file
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audio_path = file
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y, sr = librosa.load(audio_path, sr=sr) # Resample to 11025 Hz
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y_u8 = (y * 128 + 128).astype('uint8')
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samples_array = y_u8.tolist()
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-
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# Extract cover image, title, and artist
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cover_img = extract_cover_image(audio_path)
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if cover_img is None:
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@@ -187,7 +206,7 @@ def main(file, name, fps=30, res: tuple=(1280,720), oscres=512, sr=11025):
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# Prepare parameters for each frame
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params = [(n, samples_array, cover_img, title, artist, dominant_color, width, height, fps, name, oscres, sr) for n in range(num_frames)]
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-
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try:
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with Pool(cpu_count()) as pool:
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import traceback
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import time
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import shutil
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import LRC
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import LRC2SRT
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path = "" # Update with your path
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)
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gr.Interface.download(f"{n}.mp4")
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def main(file, name, fps=30, res: tuple=(1280,720), oscres=512, sr=11025, lyrics=None):
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p = gr.Progress()
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if os.path.exists("out.srt"):
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os.remove("out.srt")
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if lyrics:
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p(0.5,"parsing lyrics")
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try:
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sf = open(lyrics, encoding="UTF8").read()
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if sf[1] == '[':
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rr = LRC.convert_to_json(lyrics)
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elif sf[1].isdigit():
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outf = open("out.srt",mode="x", encoding="UTF8").write()
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else:
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gr.Warning("Lyrics file is invalid, skipping")
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except:
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gr.Warning("Failed to parse lyrics, skipping")
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os.makedirs(path+f'out/{name}/', exist_ok=True)
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global iii
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iii = 0
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# Load the audio file
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p(0.25,"loading file")
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audio_path = file
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y, sr = librosa.load(audio_path, sr=sr) # Resample to 11025 Hz
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y_u8 = (y * 128 + 128).astype('uint8')
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samples_array = y_u8.tolist()
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p(0.5,"extracting metadata")
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# Extract cover image, title, and artist
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cover_img = extract_cover_image(audio_path)
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if cover_img is None:
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# Prepare parameters for each frame
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params = [(n, samples_array, cover_img, title, artist, dominant_color, width, height, fps, name, oscres, sr) for n in range(num_frames)]
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try:
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with Pool(cpu_count()) as pool:
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