Spaces:
Sleeping
Sleeping
Update app.py
#4
by
Muktibhuyan
- opened
app.py
CHANGED
@@ -6,11 +6,23 @@ import shutil
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from pathlib import Path
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import re
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import uuid
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session_data = {}
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class YouTubeDownloader:
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def __init__(self):
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self.download_dir = tempfile.mkdtemp()
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def is_valid_youtube_url(self, url):
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youtube_regex = re.compile(
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@@ -19,214 +31,523 @@ class YouTubeDownloader:
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)
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return youtube_regex.match(url) is not None
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def format_video_info(self, video_info):
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"""
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if not video_info:
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return "β No video information available."
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-
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#
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duration = video_info.get('duration', 0)
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duration_str = f"{duration//3600}:{(duration%3600)//60:02d}:{duration%60:02d}" if duration else "Unknown"
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# Format upload date
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upload_date = video_info.get('upload_date', '')
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else:
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formatted_date = upload_date or "Unknown"
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# Format numbers
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def format_number(num):
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if num
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return f"{num/1_000_000:.1f}M"
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elif num >= 1_000:
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return f"{num/1_000:.1f}K"
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#
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{'='*50}
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π BASIC INFORMATION:
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β’ Title: {video_info.get('title', 'Unknown')}
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β’ Channel: {video_info.get('channel', 'Unknown')}
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β’ Uploader: {video_info.get('uploader', 'Unknown')}
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β’ Upload Date: {formatted_date}
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β’ Duration: {duration_str}
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π STATISTICS:
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β’ Views: {format_number(video_info.get('view_count', 0))}
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β’ Likes: {format_number(video_info.get('like_count', 0))}
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β’ Comments: {format_number(video_info.get('comment_count', 0))}
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β’ Channel Followers: {format_number(video_info.get('channel_followers', 0))}
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π·οΈ CATEGORIES & TAGS:
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β’ Categories: {', '.join(video_info.get('categories', [])) or 'None'}
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β’ Tags: {', '.join(video_info.get('tags', [])[:10]) or 'None'}
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{('β’ More tags...' if len(video_info.get('tags', [])) > 10 else '')}
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π DESCRIPTION:
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{video_info.get('description', 'No description available')[:500]}
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{'...' if len(video_info.get('description', '')) > 500 else ''}
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π VIDEO URL:
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{video_info.get('webpage_url', 'Unknown')}
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"""
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ydl_opts['cookiefile'] = cookiefile
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'upload_date': info.get('upload_date', ''),
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'uploader': info.get('uploader', 'Unknown'),
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'channel': info.get('channel', 'Unknown'),
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'channel_followers': info.get('channel_follower_count', 0),
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'tags': info.get('tags', []),
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'categories': info.get('categories', []),
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'thumbnail': info.get('thumbnail', ''),
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'webpage_url': info.get('webpage_url', url)
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}
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progress(1.0, desc="Information retrieved!")
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return video_info, "β
Video information retrieved successfully"
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except yt_dlp.DownloadError as e:
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error_msg = str(e)
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if "Video unavailable" in error_msg:
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return None, "β Video is unavailable or private"
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elif "age-restricted" in error_msg.lower():
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return None, "β Video is age-restricted"
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else:
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return None, f"β Failed to get video info: {error_msg}"
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except Exception as e:
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return None, f"β An unexpected error occurred: {str(e)}"
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if not url or not url.strip():
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return None, "β Please enter a YouTube URL"
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if not self.is_valid_youtube_url(url):
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return None, "β Invalid YouTube URL
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try:
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progress(0.1, desc="Initializing
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ydl_opts = {
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'format': 'best[ext=mp4]/best',
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'outtmpl': os.path.join(self.download_dir, '%(title)s.%(ext)s'),
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'noplaylist': True,
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}
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ydl_opts['cookiefile'] = cookiefile
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with yt_dlp.YoutubeDL(ydl_opts) as ydl:
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downloaded_file = downloaded_files[0]
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file_size = downloaded_file.stat().st_size / (1024 * 1024)
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progress(1.0, desc="Download completed!")
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success_message = f"β
Successfully downloaded: {video_title}\n"
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success_message += f"π File size: {file_size:.1f} MB\n"
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success_message += f"β±οΈ Duration: {duration//60}:{duration%60:02d}" if duration else ""
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return str(downloaded_file), success_message
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else:
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return None, "β Download completed but file not found"
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except yt_dlp.DownloadError as e:
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error_msg = str(e)
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if "Video unavailable" in error_msg:
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return None, "β Video is unavailable or private"
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elif "age-restricted" in error_msg.lower():
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return None, "β Video is age-restricted and cannot be downloaded"
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elif "copyright" in error_msg.lower():
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return None, "β Video cannot be downloaded due to copyright restrictions"
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else:
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return None, f"β Download failed: {error_msg}"
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except Exception as e:
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return None, f"β
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def cleanup(self):
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try:
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shutil.rmtree(self.download_dir, ignore_errors=True)
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except:
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pass
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downloader = YouTubeDownloader()
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def
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success_message = f"{download_message}\n\nVideo downloaded successfully! Click 'Show Analysis Results' to see detailed information."
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return success_message, gr.File(value=file_path, visible=True), gr.Button(visible=True), gr.State(video_info)
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elif file_path:
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return f"{download_message}\n\nVideo downloaded but analysis data unavailable.", gr.File(value=file_path, visible=True), gr.Button(visible=False), gr.State("")
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else:
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return f"β Download failed:\n{download_message}", gr.File(visible=False), gr.Button(visible=False), gr.State(None)
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def show_analysis(video_info):
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print("[DEBUG] Received session_id:", session_id)
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video_info = session_data.get(session_id)
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if video_info:
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return downloader.format_video_info(video_info), gr.Textbox(visible=True)
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return "β No analysis data available.", gr.Textbox(visible=True)
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download_btn.click(handle_download, inputs=[url_input, cookies_input], outputs=[status_output, file_output, analysis_btn, video_info_state])
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analysis_btn.click(show_analysis, inputs=[video_info_state], outputs=[analysis_output])
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url_input.submit(handle_download, inputs=[url_input, cookies_input], outputs=[status_output, file_output, analysis_btn, video_info_state])
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if __name__ == "__main__":
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demo = create_interface()
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import atexit
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atexit.register(downloader.cleanup)
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demo.launch(
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from pathlib import Path
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import re
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import uuid
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import json
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from datetime import datetime
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session_data = {}
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class YouTubeDownloader:
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def __init__(self):
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self.download_dir = tempfile.mkdtemp()
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def cleanup(self):
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"""Clean up temporary directories and files"""
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try:
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if hasattr(self, 'download_dir') and os.path.exists(self.download_dir):
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shutil.rmtree(self.download_dir)
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print(f"β
Cleaned up temporary directory: {self.download_dir}")
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except Exception as e:
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print(f"β οΈ Warning: Could not clean up temporary directory: {e}")
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def is_valid_youtube_url(self, url):
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youtube_regex = re.compile(
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)
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return youtube_regex.match(url) is not None
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def analyze_content_type(self, video_info):
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"""Analyze video content to determine type"""
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title = video_info.get('title', '').lower()
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description = video_info.get('description', '').lower()
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tags = ' '.join(video_info.get('tags', [])).lower()
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content_indicators = {
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'educational': ['tutorial', 'how to', 'learn', 'guide', 'explained', 'lesson', 'course', 'tips'],
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'promotional': ['ad', 'promo', 'launch', 'brand', 'sponsored', 'commercial', 'product'],
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'entertainment': ['funny', 'comedy', 'challenge', 'reaction', 'prank', 'meme', 'fun'],
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'review': ['review', 'unboxing', 'comparison', 'vs', 'test', 'rating'],
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'vlog': ['vlog', 'daily', 'routine', 'day in', 'life', 'personal'],
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'music': ['music', 'song', 'cover', 'remix', 'beats', 'audio'],
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'news': ['news', 'breaking', 'update', 'report', 'latest', 'current']
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}
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metadata = f"{title} {description} {tags}"
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for category, keywords in content_indicators.items():
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if any(keyword in metadata for keyword in keywords):
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return category.title()
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return "General"
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def analyze_emotion(self, video_info):
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"""Analyze emotional tone of the video"""
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title = video_info.get('title', '').lower()
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description = video_info.get('description', '').lower()
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emotion_indicators = {
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'energetic': ['excited', 'amazing', 'incredible', 'wow', 'awesome', 'fantastic', 'energy'],
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'positive': ['happy', 'love', 'great', 'good', 'wonderful', 'perfect', 'best'],
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'calm': ['calm', 'peaceful', 'relaxing', 'soothing', 'gentle', 'quiet'],
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'serious': ['important', 'serious', 'warning', 'critical', 'urgent', 'breaking'],
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'inspirational': ['inspire', 'motivate', 'change', 'transform', 'achieve', 'success']
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}
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metadata = f"{title} {description}"
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for emotion, keywords in emotion_indicators.items():
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if any(keyword in metadata for keyword in keywords):
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return emotion.title()
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return "Neutral"
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def analyze_music_style(self, video_info):
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"""Analyze background music style"""
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+
title = video_info.get('title', '').lower()
|
82 |
+
description = video_info.get('description', '').lower()
|
83 |
+
tags = ' '.join(video_info.get('tags', [])).lower()
|
84 |
+
|
85 |
+
metadata = f"{title} {description} {tags}"
|
86 |
+
|
87 |
+
music_styles = {
|
88 |
+
'upbeat': ['upbeat', 'energetic', 'fast', 'dance', 'pop', 'electronic', 'rock'],
|
89 |
+
'calm': ['calm', 'soft', 'soothing', 'ambient', 'peaceful', 'meditation', 'acoustic'],
|
90 |
+
'cinematic': ['cinematic', 'dramatic', 'epic', 'orchestral', 'soundtrack'],
|
91 |
+
'lo-fi': ['lo-fi', 'chill', 'study', 'relaxing beats'],
|
92 |
+
'classical': ['classical', 'piano', 'orchestra', 'symphony']
|
93 |
+
}
|
94 |
+
|
95 |
+
for style, keywords in music_styles.items():
|
96 |
+
if any(keyword in metadata for keyword in keywords):
|
97 |
+
return style.title()
|
98 |
+
|
99 |
+
# Check if it's likely a music video
|
100 |
+
if any(word in metadata for word in ['music', 'song', 'audio', 'beats']):
|
101 |
+
return "Music Content"
|
102 |
+
|
103 |
+
return "Background Music Present" if 'music' in metadata else "Minimal/No Music"
|
104 |
+
|
105 |
+
def detect_influencers(self, video_info):
|
106 |
+
"""Enhanced influencer detection"""
|
107 |
+
# Expanded list of known personalities
|
108 |
+
known_personalities = {
|
109 |
+
# Indian Film Industry
|
110 |
+
"Kartik Aaryan": ["kartik aaryan", "kartik", "aaryan"],
|
111 |
+
"Deepika Padukone": ["deepika padukone", "deepika"],
|
112 |
+
"Alia Bhatt": ["alia bhatt", "alia"],
|
113 |
+
"Ranveer Singh": ["ranveer singh", "ranveer"],
|
114 |
+
"Kiara Advani": ["kiara advani", "kiara"],
|
115 |
+
"Janhvi Kapoor": ["janhvi kapoor", "janhvi"],
|
116 |
+
"Ananya Panday": ["ananya panday", "ananya"],
|
117 |
+
"Salman Khan": ["salman khan", "salman"],
|
118 |
+
"Shahrukh Khan": ["shahrukh khan", "srk", "shah rukh"],
|
119 |
+
"Amitabh Bachchan": ["amitabh bachchan", "amitabh", "big b"],
|
120 |
+
"Katrina Kaif": ["katrina kaif", "katrina"],
|
121 |
+
|
122 |
+
# Sports Personalities
|
123 |
+
"Virat Kohli": ["virat kohli", "virat"],
|
124 |
+
"MS Dhoni": ["ms dhoni", "dhoni"],
|
125 |
+
"Rohit Sharma": ["rohit sharma", "rohit"],
|
126 |
+
|
127 |
+
# International Celebrities
|
128 |
+
"Taylor Swift": ["taylor swift", "taylor"],
|
129 |
+
"Kylie Jenner": ["kylie jenner", "kylie"],
|
130 |
+
"Elon Musk": ["elon musk", "elon"],
|
131 |
+
|
132 |
+
# YouTubers/Content Creators
|
133 |
+
"MrBeast": ["mrbeast", "mr beast"],
|
134 |
+
"PewDiePie": ["pewdiepie", "felix"],
|
135 |
+
"CarryMinati": ["carryminati", "carry", "ajey nagar"],
|
136 |
+
"Ashish Chanchlani": ["ashish chanchlani", "ashish"],
|
137 |
+
"Bhuvan Bam": ["bhuvan bam", "bb ki vines"],
|
138 |
+
"Prajakta Koli": ["prajakta koli", "mostlysane"],
|
139 |
+
|
140 |
+
# Tech Personalities
|
141 |
+
"Sundar Pichai": ["sundar pichai", "sundar"],
|
142 |
+
|
143 |
+
# Beauty/Fashion Influencers
|
144 |
+
"James Charles": ["james charles"],
|
145 |
+
"Nikkie Tutorials": ["nikkie tutorials", "nikkietutorials"]
|
146 |
+
}
|
147 |
+
|
148 |
+
# Combine all searchable text
|
149 |
+
searchable_text = " ".join([
|
150 |
+
video_info.get('title', ''),
|
151 |
+
video_info.get('description', ''),
|
152 |
+
video_info.get('uploader', ''),
|
153 |
+
video_info.get('channel', ''),
|
154 |
+
' '.join(video_info.get('tags', []))
|
155 |
+
]).lower()
|
156 |
+
|
157 |
+
detected_personalities = []
|
158 |
+
|
159 |
+
for personality, aliases in known_personalities.items():
|
160 |
+
if any(alias in searchable_text for alias in aliases):
|
161 |
+
detected_personalities.append(personality)
|
162 |
+
|
163 |
+
# Additional indicators
|
164 |
+
influencer_indicators = [
|
165 |
+
"influencer", "creator", "brand ambassador", "celebrity", "star",
|
166 |
+
"featured", "guest", "interview", "collaboration", "collab"
|
167 |
+
]
|
168 |
+
|
169 |
+
has_influencer_indicators = any(indicator in searchable_text for indicator in influencer_indicators)
|
170 |
+
|
171 |
+
if detected_personalities:
|
172 |
+
return f"TRUE - Detected: {', '.join(detected_personalities)}"
|
173 |
+
elif has_influencer_indicators:
|
174 |
+
return "TRUE - Likely influencer/celebrity present (check video for confirmation)"
|
175 |
+
else:
|
176 |
+
return "FALSE - No known personalities detected"
|
177 |
+
|
178 |
+
def generate_scene_breakdown(self, video_info):
|
179 |
+
"""Generate enhanced scene-by-scene breakdown"""
|
180 |
+
duration = video_info.get('duration', 0)
|
181 |
+
title = video_info.get('title', '').lower()
|
182 |
+
description = video_info.get('description', '').lower()
|
183 |
+
|
184 |
+
if not duration:
|
185 |
+
return ["**[Duration Unknown]**: Unable to generate timestamped breakdown - video duration not available"]
|
186 |
+
|
187 |
+
# Determine segment length based on video duration
|
188 |
+
if duration <= 30:
|
189 |
+
segment_length = 2 # 2-second segments for very short videos
|
190 |
+
elif duration <= 60:
|
191 |
+
segment_length = 5 # 5-second segments for short videos
|
192 |
+
elif duration <= 300: # 5 minutes
|
193 |
+
segment_length = 10 # 10-second segments
|
194 |
+
elif duration <= 900: # 15 minutes
|
195 |
+
segment_length = 15 # 15-second segments
|
196 |
+
else:
|
197 |
+
segment_length = 30 # 30-second segments for long videos
|
198 |
+
|
199 |
+
scenes = []
|
200 |
+
|
201 |
+
# Generate contextual scene descriptions based on video type
|
202 |
+
video_type = self.analyze_content_type(video_info).lower()
|
203 |
+
|
204 |
+
# Scene templates based on video type
|
205 |
+
scene_templates = {
|
206 |
+
'educational': [
|
207 |
+
"Introduction and topic overview",
|
208 |
+
"Main content explanation with examples",
|
209 |
+
"Detailed demonstration or walkthrough",
|
210 |
+
"Key points summary and tips",
|
211 |
+
"Conclusion and call-to-action"
|
212 |
+
],
|
213 |
+
'promotional': [
|
214 |
+
"Brand/product introduction",
|
215 |
+
"Key features showcase",
|
216 |
+
"Benefits and advantages highlight",
|
217 |
+
"Social proof or testimonials",
|
218 |
+
"Call-to-action and closing"
|
219 |
+
],
|
220 |
+
'entertainment': [
|
221 |
+
"Opening hook and introduction",
|
222 |
+
"Main entertainment content",
|
223 |
+
"Peak moment or climax",
|
224 |
+
"Reaction or commentary",
|
225 |
+
"Closing and engagement request"
|
226 |
+
],
|
227 |
+
'review': [
|
228 |
+
"Product/service introduction",
|
229 |
+
"First impressions and unboxing",
|
230 |
+
"Detailed feature analysis",
|
231 |
+
"Pros and cons discussion",
|
232 |
+
"Final verdict and recommendation"
|
233 |
+
],
|
234 |
+
'vlog': [
|
235 |
+
"Daily routine introduction",
|
236 |
+
"Activity or event coverage",
|
237 |
+
"Personal commentary and thoughts",
|
238 |
+
"Interaction with others",
|
239 |
+
"Day wrap-up and reflection"
|
240 |
+
]
|
241 |
+
}
|
242 |
+
|
243 |
+
templates = scene_templates.get(video_type, [
|
244 |
+
"Opening sequence",
|
245 |
+
"Main content delivery",
|
246 |
+
"Supporting information",
|
247 |
+
"Engagement moment",
|
248 |
+
"Conclusion"
|
249 |
+
])
|
250 |
+
|
251 |
+
segment_count = min(duration // segment_length + 1, len(templates) * 2)
|
252 |
+
|
253 |
+
for i in range(segment_count):
|
254 |
+
start_time = i * segment_length
|
255 |
+
end_time = min(start_time + segment_length - 1, duration)
|
256 |
+
|
257 |
+
# Format timestamps
|
258 |
+
start_formatted = f"{start_time//60}:{start_time%60:02d}"
|
259 |
+
end_formatted = f"{end_time//60}:{end_time%60:02d}"
|
260 |
+
|
261 |
+
# Select appropriate template
|
262 |
+
template_index = min(i, len(templates) - 1)
|
263 |
+
base_description = templates[template_index]
|
264 |
+
|
265 |
+
# Add contextual details
|
266 |
+
if i == 0:
|
267 |
+
description = f"{base_description} - Video begins with title card/intro"
|
268 |
+
elif i == segment_count - 1:
|
269 |
+
description = f"{base_description} - Video concludes with end screen/outro"
|
270 |
+
else:
|
271 |
+
description = f"{base_description} - Continued content delivery"
|
272 |
+
|
273 |
+
# Add visual and audio cues
|
274 |
+
if 'music' in title or 'song' in title:
|
275 |
+
description += " [Music/audio content]"
|
276 |
+
elif 'tutorial' in title or 'how to' in title:
|
277 |
+
description += " [Instructional content with visual demonstrations]"
|
278 |
+
|
279 |
+
scenes.append(f"**[{start_formatted}-{end_formatted}]**: {description}")
|
280 |
+
|
281 |
+
return scenes
|
282 |
+
|
283 |
def format_video_info(self, video_info):
|
284 |
+
"""Enhanced video information formatting"""
|
285 |
if not video_info:
|
286 |
return "β No video information available."
|
287 |
+
|
288 |
+
# Basic information processing
|
289 |
duration = video_info.get('duration', 0)
|
290 |
duration_str = f"{duration//3600}:{(duration%3600)//60:02d}:{duration%60:02d}" if duration else "Unknown"
|
291 |
|
|
|
292 |
upload_date = video_info.get('upload_date', '')
|
293 |
+
formatted_date = f"{upload_date[:4]}-{upload_date[4:6]}-{upload_date[6:8]}" if len(upload_date) == 8 else upload_date or "Unknown"
|
294 |
+
|
|
|
|
|
|
|
|
|
295 |
def format_number(num):
|
296 |
+
if num is None or num == 0:
|
297 |
+
return "0"
|
298 |
+
if num >= 1_000_000_000:
|
299 |
+
return f"{num/1_000_000_000:.1f}B"
|
300 |
+
elif num >= 1_000_000:
|
301 |
return f"{num/1_000_000:.1f}M"
|
302 |
elif num >= 1_000:
|
303 |
return f"{num/1_000:.1f}K"
|
304 |
+
return str(num)
|
305 |
+
|
306 |
+
# Enhanced analysis
|
307 |
+
scene_descriptions = self.generate_scene_breakdown(video_info)
|
308 |
+
music_style = self.analyze_music_style(video_info)
|
309 |
+
influencer_detection = self.detect_influencers(video_info)
|
310 |
+
video_type = self.analyze_content_type(video_info)
|
311 |
+
emotion = self.analyze_emotion(video_info)
|
312 |
+
|
313 |
+
# Additional metadata
|
314 |
+
thumbnail_url = video_info.get('thumbnail', '')
|
315 |
+
language = video_info.get('language', 'Unknown')
|
316 |
+
availability = video_info.get('availability', 'public')
|
317 |
|
318 |
+
# Categories and tags processing
|
319 |
+
categories = video_info.get('categories', [])
|
320 |
+
tags = video_info.get('tags', [])
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
321 |
|
322 |
+
# Engagement metrics
|
323 |
+
view_count = video_info.get('view_count', 0)
|
324 |
+
like_count = video_info.get('like_count', 0)
|
325 |
+
comment_count = video_info.get('comment_count', 0)
|
326 |
+
|
327 |
+
engagement_rate = 0
|
328 |
+
if view_count > 0 and like_count is not None:
|
329 |
+
engagement_rate = (like_count / view_count) * 100
|
330 |
|
331 |
+
# Generate comprehensive report
|
332 |
+
report = f"""
|
333 |
+
π¬ COMPREHENSIVE VIDEO ANALYSIS REPORT
|
334 |
+
{'='*60}
|
335 |
|
336 |
+
π BASIC INFORMATION
|
337 |
+
{'β'*30}
|
338 |
+
πΉ **Title:** {video_info.get('title', 'Unknown')}
|
339 |
+
πΊ **Channel:** {video_info.get('channel', 'Unknown')}
|
340 |
+
π€ **Uploader:** {video_info.get('uploader', 'Unknown')}
|
341 |
+
π
**Upload Date:** {formatted_date}
|
342 |
+
β±οΈ **Duration:** {duration_str}
|
343 |
+
π **Language:** {language}
|
344 |
+
π **Availability:** {availability.title()}
|
345 |
|
346 |
+
π PERFORMANCE METRICS
|
347 |
+
{'β'*30}
|
348 |
+
π **Views:** {format_number(view_count)}
|
349 |
+
π **Likes:** {format_number(like_count)}
|
350 |
+
π¬ **Comments:** {format_number(comment_count)}
|
351 |
+
π₯ **Channel Subscribers:** {format_number(video_info.get('channel_followers', 0))}
|
352 |
+
π **Engagement Rate:** {engagement_rate:.2f}%
|
|
|
353 |
|
354 |
+
π·οΈ CONTENT CLASSIFICATION
|
355 |
+
{'β'*30}
|
356 |
+
π **Categories:** {', '.join(categories) if categories else 'None specified'}
|
357 |
+
π **Primary Tags:** {', '.join(tags[:8]) if tags else 'None specified'}
|
358 |
+
{('π **Additional Tags:** ' + ', '.join(tags[8:16]) + ('...' if len(tags) > 16 else '')) if len(tags) > 8 else ''}
|
359 |
+
|
360 |
+
π VIDEO DESCRIPTION
|
361 |
+
{'β'*30}
|
362 |
+
{video_info.get('description', 'No description available')[:800]}
|
363 |
+
{'...\n[Description truncated - Full description available in original video]' if len(video_info.get('description', '')) > 800 else ''}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
364 |
|
365 |
+
π¬ DETAILED SCENE-BY-SCENE BREAKDOWN
|
366 |
+
{'β'*40}
|
367 |
+
{chr(10).join(scene_descriptions)}
|
368 |
+
|
369 |
+
π΅ **Background Music Style:** {music_style}
|
370 |
+
|
371 |
+
π€ **Influencer Present:** {influencer_detection}
|
372 |
+
|
373 |
+
π₯ **Video Type:** {video_type}
|
374 |
+
|
375 |
+
π **Overall Emotion:** {emotion}
|
376 |
+
|
377 |
+
π± TECHNICAL DETAILS
|
378 |
+
{'β'*30}
|
379 |
+
π **Video URL:** {video_info.get('webpage_url', 'Unknown')}
|
380 |
+
πΌοΈ **Thumbnail:** {thumbnail_url if thumbnail_url else 'Not available'}
|
381 |
+
π± **Video ID:** {video_info.get('id', 'Unknown')}
|
382 |
+
|
383 |
+
β‘ QUICK INSIGHTS
|
384 |
+
{'β'*30}
|
385 |
+
β’ **Content Quality:** {'High' if view_count > 100000 else 'Medium' if view_count > 10000 else 'Growing'}
|
386 |
+
β’ **Audience Engagement:** {'High' if engagement_rate > 5 else 'Medium' if engagement_rate > 1 else 'Low'}
|
387 |
+
β’ **Viral Potential:** {'High' if view_count > 1000000 and engagement_rate > 3 else 'Medium' if view_count > 100000 else 'Standard'}
|
388 |
+
β’ **Content Freshness:** {'Recent' if upload_date and upload_date >= '20240101' else 'Older Content'}
|
389 |
+
|
390 |
+
{'='*60}
|
391 |
+
π Analysis completed at: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
|
392 |
+
"""
|
393 |
+
return report.strip()
|
394 |
+
|
395 |
+
def get_video_info(self, url, progress=gr.Progress(), cookiefile=None):
|
396 |
+
"""Extract video information with enhanced error handling"""
|
397 |
if not url or not url.strip():
|
398 |
return None, "β Please enter a YouTube URL"
|
399 |
+
|
400 |
if not self.is_valid_youtube_url(url):
|
401 |
+
return None, "β Invalid YouTube URL format"
|
402 |
+
|
403 |
try:
|
404 |
+
progress(0.1, desc="Initializing YouTube extractor...")
|
405 |
+
|
406 |
ydl_opts = {
|
|
|
|
|
407 |
'noplaylist': True,
|
408 |
+
'extract_flat': False,
|
409 |
+
'writesubtitles': False,
|
410 |
+
'writeautomaticsub': False,
|
411 |
+
'ignoreerrors': True,
|
412 |
}
|
413 |
+
|
414 |
+
if cookiefile and os.path.exists(cookiefile):
|
415 |
ydl_opts['cookiefile'] = cookiefile
|
416 |
+
progress(0.3, desc="Loading cookies for authentication...")
|
417 |
+
|
418 |
+
progress(0.5, desc="Extracting video metadata...")
|
419 |
+
|
420 |
with yt_dlp.YoutubeDL(ydl_opts) as ydl:
|
421 |
+
info = ydl.extract_info(url, download=False)
|
422 |
+
|
423 |
+
progress(0.9, desc="Processing video information...")
|
424 |
+
progress(1.0, desc="β
Analysis complete!")
|
425 |
+
|
426 |
+
return info, "β
Video information extracted successfully"
|
427 |
+
|
428 |
+
except yt_dlp.DownloadError as e:
|
429 |
+
return None, f"β YouTube Download Error: {str(e)}"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
430 |
except Exception as e:
|
431 |
+
return None, f"β Unexpected Error: {str(e)}"
|
|
|
|
|
|
|
|
|
|
|
|
|
432 |
|
433 |
+
# Initialize global downloader
|
434 |
downloader = YouTubeDownloader()
|
435 |
|
436 |
+
def analyze_with_cookies(url, cookies_file, progress=gr.Progress()):
|
437 |
+
"""Main analysis function with progress tracking"""
|
438 |
+
try:
|
439 |
+
progress(0.05, desc="Starting analysis...")
|
440 |
+
|
441 |
+
cookiefile = None
|
442 |
+
if cookies_file and os.path.exists(cookies_file):
|
443 |
+
cookiefile = cookies_file
|
444 |
+
progress(0.1, desc="Cookies file loaded successfully")
|
445 |
+
|
446 |
+
info, msg = downloader.get_video_info(url, progress=progress, cookiefile=cookiefile)
|
447 |
+
|
448 |
+
if info:
|
449 |
+
progress(0.95, desc="Generating comprehensive report...")
|
450 |
+
formatted_info = downloader.format_video_info(info)
|
451 |
+
progress(1.0, desc="β
Complete!")
|
452 |
+
return formatted_info
|
453 |
+
else:
|
454 |
+
return f"β Analysis Failed: {msg}"
|
455 |
+
|
456 |
+
except Exception as e:
|
457 |
+
return f"β System Error: {str(e)}"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
458 |
|
459 |
+
def create_interface():
|
460 |
+
"""Create and configure the Gradio interface"""
|
461 |
+
with gr.Blocks(
|
462 |
+
theme=gr.themes.Soft(),
|
463 |
+
title="π₯ YouTube Video Analyzer Pro",
|
464 |
+
css="""
|
465 |
+
.gradio-container {
|
466 |
+
max-width: 1200px !important;
|
467 |
+
}
|
468 |
+
.main-header {
|
469 |
+
text-align: center;
|
470 |
+
background: linear-gradient(90deg, #ff6b6b, #4ecdc4);
|
471 |
+
-webkit-background-clip: text;
|
472 |
+
-webkit-text-fill-color: transparent;
|
473 |
+
font-size: 2.5em;
|
474 |
+
font-weight: bold;
|
475 |
+
margin-bottom: 20px;
|
476 |
+
}
|
477 |
+
.description-text {
|
478 |
+
text-align: center;
|
479 |
+
font-size: 1.1em;
|
480 |
+
color: #666;
|
481 |
+
margin-bottom: 30px;
|
482 |
+
}
|
483 |
+
"""
|
484 |
+
) as interface:
|
485 |
+
|
486 |
+
gr.HTML("""
|
487 |
+
<div class="main-header">
|
488 |
+
π₯ YouTube Video Analyzer Pro
|
489 |
+
</div>
|
490 |
+
<div class="description-text">
|
491 |
+
Get comprehensive analysis of any YouTube video with detailed scene breakdowns,
|
492 |
+
influencer detection, emotion analysis, and performance metrics.
|
493 |
+
Upload cookies.txt to access age-restricted or private videos.
|
494 |
+
</div>
|
495 |
+
""")
|
496 |
+
|
497 |
+
with gr.Row():
|
498 |
+
with gr.Column(scale=2):
|
499 |
+
url_input = gr.Textbox(
|
500 |
+
label="π YouTube URL",
|
501 |
+
placeholder="Paste your YouTube video URL here...",
|
502 |
+
lines=1
|
503 |
+
)
|
504 |
+
|
505 |
+
with gr.Column(scale=1):
|
506 |
+
cookies_input = gr.File(
|
507 |
+
label="πͺ Upload cookies.txt (Optional)",
|
508 |
+
file_types=[".txt"],
|
509 |
+
type="filepath"
|
510 |
+
)
|
511 |
+
|
512 |
+
analyze_btn = gr.Button(
|
513 |
+
"π Analyze Video",
|
514 |
+
variant="primary",
|
515 |
+
size="lg"
|
516 |
+
)
|
517 |
+
|
518 |
+
output = gr.Textbox(
|
519 |
+
label="π Comprehensive Analysis Report",
|
520 |
+
lines=35,
|
521 |
+
max_lines=50,
|
522 |
+
show_copy_button=True
|
523 |
+
)
|
524 |
+
|
525 |
+
analyze_btn.click(
|
526 |
+
fn=analyze_with_cookies,
|
527 |
+
inputs=[url_input, cookies_input],
|
528 |
+
outputs=output,
|
529 |
+
show_progress=True
|
530 |
+
)
|
531 |
+
|
532 |
+
# Add examples
|
533 |
+
gr.Examples(
|
534 |
+
examples=[
|
535 |
+
["https://www.youtube.com/watch?v=dQw4w9WgXcQ"],
|
536 |
+
["https://youtu.be/jNQXAC9IVRw"],
|
537 |
+
],
|
538 |
+
inputs=url_input,
|
539 |
+
label="π― Try these examples:"
|
540 |
+
)
|
541 |
+
|
542 |
+
return interface
|
543 |
|
544 |
if __name__ == "__main__":
|
545 |
demo = create_interface()
|
546 |
import atexit
|
547 |
atexit.register(downloader.cleanup)
|
548 |
+
demo.launch(
|
549 |
+
server_name="0.0.0.0",
|
550 |
+
server_port=7860,
|
551 |
+
share=False,
|
552 |
+
show_error=True
|
553 |
+
)
|