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Update app.py
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app.py
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import os
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import subprocess
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import instaloader
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import gradio as gr
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from pydantic import BaseModel
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class Config(BaseModel):
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class Config:
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arbitrary_types_allowed = True
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def
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try:
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# Extract shortcode from URL
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shortcode = url.split("/")[-2]
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# Ensure output folder exists
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os.makedirs(output_folder, exist_ok=True)
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# Download reel
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loader.download_post(instaloader.Post.from_shortcode(loader.context, shortcode), target=output_folder)
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# Find downloaded video file
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for file in os.listdir(output_folder):
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if file.endswith(".mp4"):
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return os.path.join(output_folder, file)
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return None
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except Exception as e:
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return f"Error downloading reel: {e}"
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def extract_audio(video_path, output_folder="downloads"):
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try:
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# Ensure output folder exists
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os.makedirs(output_folder, exist_ok=True)
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# Generate output audio path
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audio_path = os.path.join(output_folder,
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os.path.splitext(os.path.basename(video_path))[0] + ".mp3")
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#
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return f"FFmpeg error: {result.stderr.decode()}"
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return audio_path
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except Exception as e:
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return f"Error extracting audio: {e}"
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video_path = download_instagram_reel(url)
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if isinstance(video_path, str) and video_path.endswith(".mp4"):
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# Extract audio
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audio_path = extract_audio(video_path)
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if isinstance(audio_path, str) and audio_path.endswith(".mp3"):
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# Clean up video file after extraction
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try:
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os.remove(video_path)
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except:
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pass
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return "Audio extracted successfully!", audio_path
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else:
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return f"Failed to extract audio: {audio_path}", None
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else:
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return f"Failed to download reel: {video_path}", None
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# Gradio Interface
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interface = gr.Interface(
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fn=
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inputs=gr.Textbox(
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outputs=[
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gr.Textbox(label="Status"),
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gr.Audio(label="Downloaded Audio")
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],
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title="Instagram Reel to Audio Downloader",
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description="
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)
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if __name__ == "__main__":
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import os
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import gradio as gr
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from yt_dlp import YoutubeDL
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from pydantic import BaseModel
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class Config(BaseModel):
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class Config:
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arbitrary_types_allowed = True
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def download_reel_audio(url, output_folder="downloads"):
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"""
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Download audio from Instagram reel using yt-dlp
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"""
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try:
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# Ensure output folder exists
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os.makedirs(output_folder, exist_ok=True)
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# Configure yt-dlp options
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ydl_opts = {
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'format': 'bestaudio/best',
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'outtmpl': os.path.join(output_folder, '%(title)s.%(ext)s'),
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'postprocessors': [{
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'key': 'FFmpegExtractAudio',
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'preferredcodec': 'mp3',
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'preferredquality': '192',
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}],
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'quiet': True,
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'no_warnings': True
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}
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# Download the audio
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with YoutubeDL(ydl_opts) as ydl:
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info = ydl.extract_info(url, download=True)
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audio_path = os.path.join(output_folder, f"{info['title']}.mp3")
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return "Audio downloaded successfully!", audio_path
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except Exception as e:
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return f"Error downloading audio: {str(e)}", None
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# Gradio Interface
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interface = gr.Interface(
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fn=download_reel_audio,
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inputs=gr.Textbox(
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label="Instagram Reel URL",
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placeholder="Enter the Instagram reel URL here (e.g., https://www.instagram.com/reel/...)"
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),
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outputs=[
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gr.Textbox(label="Status"),
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gr.Audio(label="Downloaded Audio")
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],
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title="Instagram Reel to Audio Downloader",
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description="""
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Enter the URL of an Instagram reel to download its audio as an MP3 file.
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This tool uses yt-dlp which is more reliable and doesn't require authentication.
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""",
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theme="default",
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examples=[
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["https://www.instagram.com/reel/example1"],
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["https://www.instagram.com/reel/example2"]
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]
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)
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if __name__ == "__main__":
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