ratna , asked songs question. question to grok and answer as below and worked.
write trim songs from youtubue songs links and trim timings as follows, club as single mp3 song to download in /content/output.mp3 ; write pyton code in colab;https://www.youtube.com/watch?v=lW0YfRiwI0I https://www.youtube.com/watch?v=Pxy_Aa5UL8Q https://www.youtube.com/watch?v=mBstWle0W38 https://www.youtube.com/watch?v=azqSfU1Z0Mw https://www.youtube.com/watch?v=VXSK2S8Aq0Q
1.26 0.46 0.52 1.27 1.17
# Google Colab Python code to download specific segments from YouTube songs,
# concatenate them in order, and save as a single MP3 file at /content/output.mp3
# Step 1: Install required libraries
!pip install yt-dlp pydub
!apt-get install ffmpeg -y # Required for audio processing
# Step 2: Import libraries
from yt_dlp import YoutubeDL
from pydub import AudioSegment
import os
# Step 3: Define the YouTube links and corresponding segment lengths (in seconds)
# Assuming the timings are durations to trim from the start of each song
urls = [
"https://www.youtube.com/watch?v=lW0YfRiwI0I",
"https://www.youtube.com/watch?v=Pxy_Aa5UL8Q",
"https://www.youtube.com/watch?v=mBstWle0W38",
"https://www.youtube.com/watch?v=azqSfU1Z0Mw",
"https://www.youtube.com/watch?v=VXSK2S8Aq0Q"
]
durations_seconds = [86, 46, 52, 87, 77] # Converted from 1.26 → 86s, etc. (1.26 means 1 min 26 sec)
# Step 4: Download and trim each segment
segments = []
for i, (url, dur_sec) in enumerate(zip(urls, durations_seconds)):
# Temporary file names
temp_audio = f"temp_audio_{i}.webm" # yt-dlp often downloads bestaudio as webm/opus
trimmed_audio = f"trimmed_{i}.mp3"
# Download best audio only
ydl_opts = {
'format': 'bestaudio/best',
'outtmpl': temp_audio,
'quiet': True,
'postprocessors': [{ # Convert to mp3 immediately (requires ffmpeg)
'key': 'FFmpegExtractAudio',
'preferredcodec': 'mp3',
'preferredquality': '192',
}],
}
with YoutubeDL(ydl_opts) as ydl:
ydl.download([url])
# The postprocessor renames to .mp3 automatically
mp3_file = temp_audio.replace('.webm', '.mp3') if temp_audio.endswith('.webm') else temp_audio + '.mp3'
if not os.path.exists(mp3_file):
# Fallback: find the downloaded mp3
mp3_file = [f for f in os.listdir('.') if f.endswith('.mp3') and f.startswith('temp_audio')][-1]
# Load with pydub and trim from start to dur_sec (in milliseconds)
audio = AudioSegment.from_file(mp3_file)
trimmed = audio[:dur_sec * 1000] # pydub works in milliseconds
# Save trimmed segment as mp3
trimmed.export(trimmed_audio, format="mp3")
# Clean up temporary full download
if os.path.exists(mp3_file):
os.remove(mp3_file)
segments.append(trimmed_audio)
print(f"Processed segment {i+1}: {dur_sec} seconds")
# Step 5: Concatenate all trimmed segments
combined = AudioSegment.empty()
for seg_file in segments:
seg = AudioSegment.from_mp3(seg_file)
combined += seg
# Step 6: Export the final combined song
output_path = "/content/output.mp3"
combined.export(output_path, format="mp3")
print(f"Final combined MP3 saved to: {output_path}")
# Step 7: (Optional) Clean up individual trimmed files
for seg in segments:
if os.path.exists(seg):
os.remove(seg)
# Step 8: Download the file in Colab (optional - runs a download prompt)
from google.colab import files
files.download(output_path)
