Spaces:
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Update app.py
Browse files
app.py
CHANGED
@@ -1,44 +1,1167 @@
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import gradio as gr
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from io import BytesIO
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import os
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import uuid
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import tempfile
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def
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# β
Step 4: Write PDF to a real file
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pdf_data.seek(0)
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output_path = os.path.join(tempfile.gettempdir(), f"test_report_{uuid.uuid4().hex}.pdf")
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with open(output_path, "wb") as f:
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f.write(pdf_data.read())
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print("β
PDF generated at:", output_path)
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return output_path # β
Gradio File component works with actual file path
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def format_scene_breakdown(scenes):
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rows = """
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<table style='width:100%; border-collapse: collapse; background-color:#1a1a1a; color: #FFFFFF; border: 2px solid #FF8C00; font-size: 16px;box-shadow: 0 4px 8px rgba(0,0,0,0.3);'>
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<tr style='background-color:#FF8C00; color: #000000;'>
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<th style='padding: 8px; border: 1px solid #FF8C00; color: #000000; font-weight: bold;'>β±οΈ Timestamp</th>
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<th style='padding: 8px; border: 1px solid # #FF8C00; color: #000000; font-weight: bold;'>π Description</th>
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</tr>
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"""
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pattern = re.compile(r"\*\*\[(.*?)\]\*\*:\s*(.*)")
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for scene in scenes:
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match = pattern.match(scene)
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if match:
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timestamp = match.group(1).strip()
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description = match.group(2).strip()
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rows += f"""
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<tr style='background-color:#1a1a1a;'>
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<td style='padding: 8px; border: 1px solid #444; color: #87CEEB; font-weight: bold;font-size: 16px;vertical-align: top;'>{timestamp}</td>
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<td style='padding: 8px; border: 1px solid #444; color: #87CEEB; font-weight: bold;font-size: 16px;line-height: 1.4;'>{description}</td>
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</tr>
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"""
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rows += "</table>"
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return rows
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import gradio as gr
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import yt_dlp
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import os
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import tempfile
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import shutil
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33 |
+
from pathlib import Path
|
34 |
+
import re
|
35 |
+
import uuid
|
36 |
+
import json
|
37 |
+
from datetime import datetime
|
38 |
+
import google.generativeai as genai
|
39 |
+
from xhtml2pdf import pisa
|
40 |
+
from io import BytesIO
|
41 |
+
|
42 |
+
|
43 |
+
def generate_pdf_from_html(html_content):
|
44 |
+
"""Generate PDF with simplified HTML that works better with xhtml2pdf"""
|
45 |
+
try:
|
46 |
+
# Create a simplified version of the HTML for PDF generation
|
47 |
+
# Remove complex CSS that xhtml2pdf can't handle
|
48 |
+
simplified_html = html_content.replace(
|
49 |
+
"background: linear-gradient(135deg, #2d3748, #1a202c);",
|
50 |
+
"background-color: #f5f5f5;"
|
51 |
+
).replace(
|
52 |
+
"background: linear-gradient(90deg, #FF8C00, #87CEEB);",
|
53 |
+
"background-color: #FF8C00;"
|
54 |
+
).replace(
|
55 |
+
"rgba(135, 206, 235, 0.1)",
|
56 |
+
"#f9f9f9"
|
57 |
+
).replace(
|
58 |
+
"rgba(0, 0, 0, 0.3)",
|
59 |
+
"#ffffff"
|
60 |
+
).replace(
|
61 |
+
"text-shadow: 2px 2px 4px rgba(0,0,0,0.5);",
|
62 |
+
""
|
63 |
+
).replace(
|
64 |
+
"box-shadow: 0 8px 32px rgba(255, 140, 0, 0.3);",
|
65 |
+
""
|
66 |
+
).replace(
|
67 |
+
"box-shadow: 0 4px 8px rgba(0,0,0,0.3);",
|
68 |
+
""
|
69 |
+
).replace(
|
70 |
+
"display: grid; grid-template-columns: 1fr 1fr 1fr; gap: 15px;",
|
71 |
+
"display: block;"
|
72 |
+
).replace(
|
73 |
+
"background-color:#1a1a1a;",
|
74 |
+
"background-color:#ffffff;"
|
75 |
+
).replace(
|
76 |
+
"color: #FFFFFF;",
|
77 |
+
"color: #000000;"
|
78 |
+
).replace(
|
79 |
+
"background-color:#FF8C00; color: #000000;",
|
80 |
+
"background-color:#FF8C00; color: #000000;"
|
81 |
+
).replace(
|
82 |
+
"color: #87CEEB;",
|
83 |
+
"color: #000080;"
|
84 |
+
).replace(
|
85 |
+
"border: 2px solid #FF8C00;",
|
86 |
+
"border: 1px solid #FF8C00;"
|
87 |
+
)
|
88 |
+
|
89 |
+
# Remove table styling that causes issues
|
90 |
+
simplified_html = re.sub(r"style='[^']*background-color:#1a1a1a[^']*'", "style='background-color:#ffffff;'", simplified_html)
|
91 |
+
simplified_html = re.sub(r"style='[^']*color: #87CEEB[^']*'", "style='color: #000080; padding: 8px;'", simplified_html)
|
92 |
+
|
93 |
+
# Wrap in a complete HTML document with PDF-friendly CSS
|
94 |
+
pdf_html = f"""
|
95 |
+
<!DOCTYPE html>
|
96 |
+
<html>
|
97 |
+
<head>
|
98 |
+
<meta charset="UTF-8">
|
99 |
+
<style>
|
100 |
+
@page {{
|
101 |
+
size: A4;
|
102 |
+
margin: 1cm;
|
103 |
+
}}
|
104 |
+
body {{
|
105 |
+
font-family: Arial, sans-serif;
|
106 |
+
font-size: 12px;
|
107 |
+
line-height: 1.4;
|
108 |
+
color: #000000;
|
109 |
+
background-color: #ffffff;
|
110 |
+
}}
|
111 |
+
.report-container {{
|
112 |
+
background-color: #ffffff;
|
113 |
+
padding: 15px;
|
114 |
+
border: 2px solid #FF8C00;
|
115 |
+
border-radius: 8px;
|
116 |
+
}}
|
117 |
+
.header {{
|
118 |
+
text-align: center;
|
119 |
+
color: #FF8C00;
|
120 |
+
font-size: 20px;
|
121 |
+
font-weight: bold;
|
122 |
+
margin-bottom: 15px;
|
123 |
+
border-bottom: 2px solid #FF8C00;
|
124 |
+
padding-bottom: 8px;
|
125 |
+
}}
|
126 |
+
.info-card {{
|
127 |
+
background-color: #f9f9f9;
|
128 |
+
padding: 12px;
|
129 |
+
margin: 8px 0;
|
130 |
+
border-left: 3px solid #87CEEB;
|
131 |
+
border-radius: 4px;
|
132 |
+
page-break-inside: avoid;
|
133 |
+
}}
|
134 |
+
.info-title {{
|
135 |
+
color: #000080;
|
136 |
+
font-size: 14px;
|
137 |
+
font-weight: bold;
|
138 |
+
margin-bottom: 8px;
|
139 |
+
}}
|
140 |
+
table {{
|
141 |
+
width: 100%;
|
142 |
+
border-collapse: collapse;
|
143 |
+
margin: 8px 0;
|
144 |
+
page-break-inside: avoid;
|
145 |
+
}}
|
146 |
+
th, td {{
|
147 |
+
padding: 6px 8px;
|
148 |
+
border: 1px solid #cccccc;
|
149 |
+
text-align: left;
|
150 |
+
vertical-align: top;
|
151 |
+
font-size: 11px;
|
152 |
+
}}
|
153 |
+
th {{
|
154 |
+
background-color: #FF8C00;
|
155 |
+
color: #000000;
|
156 |
+
font-weight: bold;
|
157 |
+
}}
|
158 |
+
tr:nth-child(even) {{
|
159 |
+
background-color: #f9f9f9;
|
160 |
+
}}
|
161 |
+
.scene-table {{
|
162 |
+
margin-top: 15px;
|
163 |
+
}}
|
164 |
+
.scene-header {{
|
165 |
+
color: #000080;
|
166 |
+
font-size: 16px;
|
167 |
+
font-weight: bold;
|
168 |
+
text-align: center;
|
169 |
+
margin-bottom: 10px;
|
170 |
+
}}
|
171 |
+
div[style*="display: grid"] {{
|
172 |
+
display: block !important;
|
173 |
+
}}
|
174 |
+
div[style*="grid-template-columns"] > div {{
|
175 |
+
display: block !important;
|
176 |
+
margin-bottom: 10px !important;
|
177 |
+
width: 100% !important;
|
178 |
+
}}
|
179 |
+
</style>
|
180 |
+
</head>
|
181 |
+
<body>
|
182 |
+
<div class="report-container">
|
183 |
+
{simplified_html}
|
184 |
+
</div>
|
185 |
+
</body>
|
186 |
+
</html>
|
187 |
+
"""
|
188 |
+
|
189 |
+
result = BytesIO()
|
190 |
+
pisa_status = pisa.CreatePDF(pdf_html, dest=result)
|
191 |
+
print("PDF buffer length:", len(result.getvalue()))
|
192 |
+
|
193 |
+
if pisa_status.err:
|
194 |
+
print(f"PDF generation error: {pisa_status.err}")
|
195 |
+
return None
|
196 |
+
|
197 |
+
result.seek(0)
|
198 |
+
return result
|
199 |
+
|
200 |
+
except Exception as e:
|
201 |
+
print(f"PDF generation exception: {e}")
|
202 |
+
return None
|
203 |
+
|
204 |
+
class YouTubeDownloader:
|
205 |
+
def __init__(self):
|
206 |
+
self.download_dir = tempfile.mkdtemp()
|
207 |
+
# Use temp directory for Gradio compatibility
|
208 |
+
self.temp_downloads = tempfile.mkdtemp(prefix="youtube_downloads_")
|
209 |
+
# Also create user downloads folder for copying
|
210 |
+
self.downloads_folder = os.path.join(os.path.expanduser("~"), "Downloads", "YouTube_Downloads")
|
211 |
+
os.makedirs(self.downloads_folder, exist_ok=True)
|
212 |
+
self.gemini_model = None
|
213 |
+
|
214 |
+
def configure_gemini(self, api_key):
|
215 |
+
"""Configure Gemini API with the provided key"""
|
216 |
+
try:
|
217 |
+
genai.configure(api_key=api_key)
|
218 |
+
self.gemini_model = genai.GenerativeModel(model_name="gemini-1.5-flash-latest")
|
219 |
+
return True, "β
Gemini API configured successfully!"
|
220 |
+
except Exception as e:
|
221 |
+
return False, f"β Failed to configure Gemini API: {str(e)}"
|
222 |
+
|
223 |
+
def cleanup(self):
|
224 |
+
"""Clean up temporary directories and files"""
|
225 |
+
try:
|
226 |
+
if hasattr(self, 'download_dir') and os.path.exists(self.download_dir):
|
227 |
+
shutil.rmtree(self.download_dir)
|
228 |
+
print(f"β
Cleaned up temporary directory: {self.download_dir}")
|
229 |
+
if hasattr(self, 'temp_downloads') and os.path.exists(self.temp_downloads):
|
230 |
+
shutil.rmtree(self.temp_downloads)
|
231 |
+
print(f"β
Cleaned up temp downloads directory: {self.temp_downloads}")
|
232 |
+
except Exception as e:
|
233 |
+
print(f"β οΈ Warning: Could not clean up temporary directory: {e}")
|
234 |
+
|
235 |
+
def is_valid_youtube_url(self, url):
|
236 |
+
youtube_regex = re.compile(
|
237 |
+
r'(https?://)?(www\.)?(youtube|youtu|youtube-nocookie)\.(com|be)/'
|
238 |
+
r'(watch\?v=|embed/|v/|.+\?v=)?([^&=%\?]{11})'
|
239 |
+
)
|
240 |
+
return youtube_regex.match(url) is not None
|
241 |
+
|
242 |
+
def generate_scene_breakdown_gemini(self, video_info):
|
243 |
+
"""Generate AI-powered scene breakdown using Gemini"""
|
244 |
+
if not self.gemini_model:
|
245 |
+
return self.generate_scene_breakdown_fallback(video_info)
|
246 |
+
|
247 |
+
try:
|
248 |
+
duration = video_info.get('duration', 0)
|
249 |
+
title = video_info.get('title', '')
|
250 |
+
description = video_info.get('description', '')[:1500] # Increased limit for better context
|
251 |
+
|
252 |
+
if not duration:
|
253 |
+
return ["**[Duration Unknown]**: Unable to generate timestamped breakdown - video duration not available"]
|
254 |
+
|
255 |
+
# Create enhanced prompt for Gemini
|
256 |
+
prompt = f"""
|
257 |
+
Analyze this YouTube video and create a highly detailed, scene-by-scene breakdown with precise timestamps and specific descriptions:
|
258 |
+
|
259 |
+
Title: {title}
|
260 |
+
Duration: {duration} seconds
|
261 |
+
Description: {description}
|
262 |
+
|
263 |
+
IMPORTANT INSTRUCTIONS:
|
264 |
+
1. Create detailed scene descriptions that include:
|
265 |
+
- Physical appearance of people (age, gender, clothing, hair, etc.)
|
266 |
+
- Exact actions being performed
|
267 |
+
- Dialogue or speech (include actual lines if audible, or infer probable spoken lines based on actions and setting; format them as "Character: line...")
|
268 |
+
- Setting and environment details
|
269 |
+
- Props, objects, or products being shown
|
270 |
+
- Visual effects, text overlays, or graphics
|
271 |
+
- Mood, tone, and atmosphere
|
272 |
+
- Camera movements or angles (if apparent)
|
273 |
+
2. Dialogue Emphasis:
|
274 |
+
- Include short dialogue lines in **every scene** wherever plausible.
|
275 |
+
- Write lines like: Character: "Actual or inferred line..."
|
276 |
+
- If dialogue is not available, intelligently infer probable phrases (e.g., "Welcome!", "Try this now!", "It feels amazing!").
|
277 |
+
- Do NOT skip dialogue unless it's clearly impossible.
|
278 |
+
|
279 |
+
3. Timestamp Guidelines:
|
280 |
+
- For videos under 1 minute: 2-3 second segments
|
281 |
+
- For videos 1-5 minutes: 3-5 second segments
|
282 |
+
- For videos 5-15 minutes: 5-10 second segments
|
283 |
+
- For videos over 15 minutes: 10-15 second segments
|
284 |
+
- Maximum 20 scenes total for longer videos
|
285 |
+
|
286 |
+
4. Format each scene EXACTLY like this:
|
287 |
+
**[MM:SS-MM:SS]**: Detailed description including who is visible, what they're wearing, what they're doing, what they're saying (if applicable), setting details, objects shown, and any visual elements.
|
288 |
+
|
289 |
+
|
290 |
+
5. Write descriptions as if you're watching the video in real-time, noting everything visible and audible.
|
291 |
+
|
292 |
+
Based on the title and description, intelligently infer what would likely happen in each time segment. Consider the video type and create contextually appropriate, detailed descriptions.
|
293 |
+
"""
|
294 |
+
|
295 |
+
response = self.gemini_model.generate_content(prompt)
|
296 |
+
|
297 |
+
# Parse the response into individual scenes
|
298 |
+
if response and response.text:
|
299 |
+
scenes = []
|
300 |
+
lines = response.text.split('\n')
|
301 |
+
current_scene = ""
|
302 |
+
|
303 |
+
for line in lines:
|
304 |
+
line = line.strip()
|
305 |
+
if line.strip().startswith("**[") and "]**:" in line:
|
306 |
+
# This is a new scene timestamp line
|
307 |
+
if current_scene:
|
308 |
+
scenes.append(current_scene.strip())
|
309 |
+
current_scene = line.strip()
|
310 |
+
elif current_scene:
|
311 |
+
# This is continuation of the current scene description
|
312 |
+
current_scene += "\n" + line.strip()
|
313 |
+
|
314 |
+
# Add the last scene if exists
|
315 |
+
if current_scene:
|
316 |
+
scenes.append(current_scene.strip())
|
317 |
+
|
318 |
+
return scenes if scenes else self.generate_scene_breakdown_fallback(video_info)
|
319 |
+
else:
|
320 |
+
return self.generate_scene_breakdown_fallback(video_info)
|
321 |
+
|
322 |
+
except Exception as e:
|
323 |
+
print(f"Gemini API error: {e}")
|
324 |
+
return self.generate_scene_breakdown_fallback(video_info)
|
325 |
+
|
326 |
+
def generate_scene_breakdown_fallback(self, video_info):
|
327 |
+
"""Enhanced fallback scene generation when Gemini is not available"""
|
328 |
+
duration = video_info.get('duration', 0)
|
329 |
+
title = video_info.get('title', '').lower()
|
330 |
+
description = video_info.get('description', '').lower()
|
331 |
+
uploader = video_info.get('uploader', 'Content creator')
|
332 |
+
|
333 |
+
if not duration:
|
334 |
+
return ["**[Duration Unknown]**: Unable to generate timestamped breakdown"]
|
335 |
+
|
336 |
+
# Determine segment length based on duration
|
337 |
+
if duration <= 60:
|
338 |
+
segment_length = 3
|
339 |
+
elif duration <= 300:
|
340 |
+
segment_length = 5
|
341 |
+
elif duration <= 900:
|
342 |
+
segment_length = 10
|
343 |
+
else:
|
344 |
+
segment_length = 15
|
345 |
+
|
346 |
+
scenes = []
|
347 |
+
num_segments = min(duration // segment_length + 1, 20)
|
348 |
+
|
349 |
+
# Detect video type for better descriptions
|
350 |
+
video_type = self.detect_video_type_detailed(title, description)
|
351 |
+
|
352 |
+
for i in range(num_segments):
|
353 |
+
start_time = i * segment_length
|
354 |
+
end_time = min(start_time + segment_length - 1, duration)
|
355 |
+
|
356 |
+
start_formatted = f"{start_time//60}:{start_time%60:02d}"
|
357 |
+
end_formatted = f"{end_time//60}:{end_time%60:02d}"
|
358 |
+
|
359 |
+
# Generate contextual descriptions based on video type and timing
|
360 |
+
desc = self.generate_contextual_description(i, num_segments, video_type, uploader, title)
|
361 |
+
|
362 |
+
scenes.append(f"**[{start_formatted}-{end_formatted}]**: {desc}")
|
363 |
+
|
364 |
+
return scenes
|
365 |
|
366 |
+
def detect_video_type_detailed(self, title, description):
|
367 |
+
"""Detect video type with more detail for better fallback descriptions"""
|
368 |
+
text = (title + " " + description).lower()
|
369 |
+
|
370 |
+
if any(word in text for word in ['tutorial', 'how to', 'guide', 'learn', 'diy', 'step by step']):
|
371 |
+
return 'tutorial'
|
372 |
+
elif any(word in text for word in ['review', 'unboxing', 'test', 'comparison', 'vs']):
|
373 |
+
return 'review'
|
374 |
+
elif any(word in text for word in ['vlog', 'daily', 'routine', 'day in', 'morning', 'skincare']):
|
375 |
+
return 'vlog'
|
376 |
+
elif any(word in text for word in ['music', 'song', 'cover', 'lyrics', 'dance']):
|
377 |
+
return 'music'
|
378 |
+
elif any(word in text for word in ['comedy', 'funny', 'prank', 'challenge', 'reaction']):
|
379 |
+
return 'entertainment'
|
380 |
+
elif any(word in text for word in ['news', 'breaking', 'update', 'report']):
|
381 |
+
return 'news'
|
382 |
+
elif any(word in text for word in ['cooking', 'recipe', 'food', 'kitchen']):
|
383 |
+
return 'cooking'
|
384 |
+
elif any(word in text for word in ['workout', 'fitness', 'exercise', 'yoga']):
|
385 |
+
return 'fitness'
|
386 |
+
else:
|
387 |
+
return 'general'
|
388 |
+
|
389 |
+
def generate_contextual_description(self, scene_index, total_scenes, video_type, uploader, title):
|
390 |
+
"""Generate contextual descriptions based on video type and scene position"""
|
391 |
+
|
392 |
+
# Common elements
|
393 |
+
presenter_desc = f"The content creator"
|
394 |
+
if 'woman' in title.lower() or 'girl' in title.lower():
|
395 |
+
presenter_desc = "A woman"
|
396 |
+
elif 'man' in title.lower() or 'guy' in title.lower():
|
397 |
+
presenter_desc = "A man"
|
398 |
+
|
399 |
+
# Position-based descriptions
|
400 |
+
if scene_index == 0:
|
401 |
+
# Opening scene
|
402 |
+
if video_type == 'tutorial':
|
403 |
+
return f"{presenter_desc} appears on screen, likely introducing themselves and the topic. They may be in a well-lit indoor setting, wearing casual clothing, and addressing the camera directly with a welcoming gesture."
|
404 |
+
elif video_type == 'vlog':
|
405 |
+
return f"{presenter_desc} greets the camera with a smile, possibly waving. They appear to be in their usual filming location, wearing their typical style, and beginning their introduction to today's content."
|
406 |
+
elif video_type == 'review':
|
407 |
+
return f"{presenter_desc} introduces the product or topic they'll be reviewing, likely holding or displaying the item. The setting appears organized, possibly with the product prominently featured."
|
408 |
+
else:
|
409 |
+
return f"{presenter_desc} appears on screen to begin the video, introducing the topic with engaging body language and clear speech directed at the audience."
|
410 |
+
|
411 |
+
elif scene_index == total_scenes - 1:
|
412 |
+
# Closing scene
|
413 |
+
if video_type == 'tutorial':
|
414 |
+
return f"{presenter_desc} concludes the tutorial, possibly showing the final result. They may be thanking viewers, asking for engagement (likes/comments), and suggesting related content."
|
415 |
+
elif video_type == 'vlog':
|
416 |
+
return f"{presenter_desc} wraps up their vlog, possibly reflecting on the day's events. They appear relaxed and are likely saying goodbye to viewers with a friendly gesture."
|
417 |
+
else:
|
418 |
+
return f"{presenter_desc} concludes the video with final thoughts, thanking viewers for watching, and encouraging engagement through likes, comments, and subscriptions."
|
419 |
+
|
420 |
+
else:
|
421 |
+
# Middle scenes - content-specific
|
422 |
+
if video_type == 'tutorial':
|
423 |
+
step_num = scene_index
|
424 |
+
return f"{presenter_desc} demonstrates step {step_num} of the process, showing specific techniques and explaining the procedure. They may be using tools or materials, with close-up shots of their hands working."
|
425 |
+
|
426 |
+
elif video_type == 'review':
|
427 |
+
return f"{presenter_desc} examines different aspects of the product, pointing out features and sharing their opinions. They may be holding, using, or demonstrating the item while speaking to the camera."
|
428 |
+
|
429 |
+
elif video_type == 'vlog':
|
430 |
+
return f"{presenter_desc} continues sharing their experience, possibly showing different locations or activities. The scene captures candid moments with natural lighting and casual interactions."
|
431 |
+
|
432 |
+
elif video_type == 'cooking':
|
433 |
+
return f"{presenter_desc} works in the kitchen, preparing ingredients or cooking. They demonstrate techniques while explaining each step, with kitchen tools and ingredients visible on the counter."
|
434 |
+
|
435 |
+
elif video_type == 'fitness':
|
436 |
+
return f"{presenter_desc} demonstrates exercise movements, likely in workout attire in a gym or home setting. They show proper form while providing instruction and motivation."
|
437 |
+
|
438 |
+
else:
|
439 |
+
return f"{presenter_desc} continues with the main content, engaging with the audience through clear explanations and demonstrations. The setting remains consistent with good lighting and clear audio."
|
440 |
+
|
441 |
+
def detect_video_type(self, title, description):
|
442 |
+
"""Detect video type based on title and description"""
|
443 |
+
text = (title + " " + description).lower()
|
444 |
+
|
445 |
+
if any(word in text for word in ['music', 'song', 'album', 'artist', 'band', 'lyrics']):
|
446 |
+
return "π΅ Music Video"
|
447 |
+
elif any(word in text for word in ['tutorial', 'how to', 'guide', 'learn', 'teaching']):
|
448 |
+
return "π Tutorial/Educational"
|
449 |
+
elif any(word in text for word in ['funny', 'comedy', 'entertainment', 'vlog', 'challenge']):
|
450 |
+
return "π Entertainment/Comedy"
|
451 |
+
elif any(word in text for word in ['news', 'breaking', 'report', 'update']):
|
452 |
+
return "π° News/Information"
|
453 |
+
elif any(word in text for word in ['review', 'unboxing', 'test', 'comparison']):
|
454 |
+
return "β Review/Unboxing"
|
455 |
+
elif any(word in text for word in ['commercial', 'ad', 'brand', 'product']):
|
456 |
+
return "πΊ Commercial/Advertisement"
|
457 |
+
else:
|
458 |
+
return "π¬ General Content"
|
459 |
+
|
460 |
+
def detect_background_music(self, video_info):
|
461 |
+
"""Detect background music style"""
|
462 |
+
title = video_info.get('title', '').lower()
|
463 |
+
description = video_info.get('description', '').lower()
|
464 |
+
|
465 |
+
if any(word in title for word in ['music', 'song', 'soundtrack']):
|
466 |
+
return "π΅ Original Music/Soundtrack - Primary audio content"
|
467 |
+
elif any(word in title for word in ['commercial', 'ad', 'brand']):
|
468 |
+
return "πΆ Upbeat Commercial Music - Designed to enhance brand appeal"
|
469 |
+
elif any(word in title for word in ['tutorial', 'how to', 'guide']):
|
470 |
+
return "π Minimal/No Background Music - Focus on instruction"
|
471 |
+
elif any(word in title for word in ['vlog', 'daily', 'life']):
|
472 |
+
return "πΌ Ambient Background Music - Complementary to narration"
|
473 |
+
else:
|
474 |
+
return "π΅ Background Music - Complementing video mood and pacing"
|
475 |
+
|
476 |
+
def detect_influencer_status(self, video_info):
|
477 |
+
"""Detect influencer status"""
|
478 |
+
subscriber_count = video_info.get('channel_followers', 0)
|
479 |
+
view_count = video_info.get('view_count', 0)
|
480 |
+
|
481 |
+
if subscriber_count > 10000000:
|
482 |
+
return "π Mega Influencer (10M+ subscribers)"
|
483 |
+
elif subscriber_count > 1000000:
|
484 |
+
return "β Major Influencer (1M+ subscribers)"
|
485 |
+
elif subscriber_count > 100000:
|
486 |
+
return "π― Mid-tier Influencer (100K+ subscribers)"
|
487 |
+
elif subscriber_count > 10000:
|
488 |
+
return "π Micro Influencer (10K+ subscribers)"
|
489 |
+
elif view_count > 100000:
|
490 |
+
return "π₯ Viral Content Creator"
|
491 |
+
else:
|
492 |
+
return "π€ Regular Content Creator"
|
493 |
+
|
494 |
+
def format_number(self, num):
|
495 |
+
if num is None or num == 0:
|
496 |
+
return "0"
|
497 |
+
if num >= 1_000_000_000:
|
498 |
+
return f"{num/1_000_000_000:.1f}B"
|
499 |
+
elif num >= 1_000_000:
|
500 |
+
return f"{num/1_000_000:.1f}M"
|
501 |
+
elif num >= 1_000:
|
502 |
+
return f"{num/1_000:.1f}K"
|
503 |
+
return str(num)
|
504 |
+
|
505 |
+
def format_video_info(self, video_info):
|
506 |
+
"""Compact video information formatting with tabular layout"""
|
507 |
+
if not video_info:
|
508 |
+
return "β No video information available."
|
509 |
+
|
510 |
+
# Basic information
|
511 |
+
title = video_info.get("title", "Unknown")
|
512 |
+
uploader = video_info.get("uploader", "Unknown")
|
513 |
+
duration = video_info.get("duration", 0)
|
514 |
+
duration_str = f"{duration//60}:{duration%60:02d}" if duration else "Unknown"
|
515 |
+
view_count = video_info.get("view_count", 0)
|
516 |
+
like_count = video_info.get("like_count", 0)
|
517 |
+
comment_count = video_info.get("comment_count", 0)
|
518 |
+
upload_date = video_info.get("upload_date", "Unknown")
|
519 |
+
|
520 |
+
# Format upload date
|
521 |
+
if len(upload_date) == 8:
|
522 |
+
formatted_date = f"{upload_date[:4]}-{upload_date[4:6]}-{upload_date[6:8]}"
|
523 |
+
else:
|
524 |
+
formatted_date = upload_date
|
525 |
+
|
526 |
+
# Generate enhanced analysis
|
527 |
+
scene_descriptions = self.generate_scene_breakdown_gemini(video_info)
|
528 |
+
scene_table_html = format_scene_breakdown(scene_descriptions)
|
529 |
+
video_type = self.detect_video_type(title, video_info.get('description', ''))
|
530 |
+
background_music = self.detect_background_music(video_info)
|
531 |
+
influencer_status = self.detect_influencer_status(video_info)
|
532 |
+
|
533 |
+
# Calculate engagement metrics
|
534 |
+
engagement_rate = (like_count / view_count) * 100 if view_count > 0 else 0
|
535 |
+
|
536 |
+
# Generate compact report with contrasting background
|
537 |
+
report = f"""
|
538 |
+
<div style='font-family: Arial, sans-serif; background: linear-gradient(135deg, #2d3748, #1a202c); padding: 20px; border-radius: 15px; border: 2px solid #FF8C00; box-shadow: 0 8px 32px rgba(255, 140, 0, 0.3);'>
|
539 |
+
|
540 |
+
<div style='text-align: center; margin-bottom: 20px;'>
|
541 |
+
<h2 style='color: #87CEEB; font-size: 24px; margin: 0; text-shadow: 2px 2px 4px rgba(0,0,0,0.5);'>π¬ YouTube Video Analysis Report</h2>
|
542 |
+
<div style='height: 3px; background: linear-gradient(90deg, #FF8C00, #87CEEB); margin: 10px 0; border-radius: 5px;'></div>
|
543 |
+
</div>
|
544 |
+
|
545 |
+
<!-- Compact Information Grid -->
|
546 |
+
<div style='display: grid; grid-template-columns: 1fr 1fr 1fr; gap: 15px; margin-bottom: 20px;'>
|
547 |
+
|
548 |
+
<!-- Basic Information Card -->
|
549 |
+
<div style='background: rgba(135, 206, 235, 0.1); padding: 15px; border-radius: 10px; border-left: 4px solid #87CEEB;'>
|
550 |
+
<h3 style='color: #87CEEB; margin: 0 0 10px 0; font-size: 16px;'>π Basic Info</h3>
|
551 |
+
<table style='width: 100%; font-size: 14px;'>
|
552 |
+
<tr><td style='color: #87CEEB; font-weight: bold; padding: 4px 0;'>πΉ Title:</td></tr>
|
553 |
+
<tr><td style='color: #FFFFFF; padding: 4px 0 8px 0; word-wrap: wrap-word; white-space: normal; max-width: 200px;'>{title}</td></tr>
|
554 |
+
<tr><td style='color: #87CEEB; font-weight: bold; padding: 4px 0;'>π€ Creator:</td><td style='color: #FFFFFF; padding: 2px 0;'>{uploader[:20]}{'...' if len(uploader) > 20 else ''}</td></tr>
|
555 |
+
<tr><td style='color: #87CEEB; font-weight: bold; padding: 4px 0;'>π
Date:</td><td style='color: #FFFFFF; padding: 2px 0;'>{formatted_date}</td></tr>
|
556 |
+
<tr><td style='color: #87CEEB; font-weight: bold; padding: 4px 0;'>β±οΈ Duration:</td><td style='color: #FFFFFF; padding: 2px 0;'>{duration_str}</td></tr>
|
557 |
+
</table>
|
558 |
+
</div>
|
559 |
+
|
560 |
+
<!-- Performance Metrics Card -->
|
561 |
+
<div style='background: rgba(135, 206, 235, 0.1); padding: 15px; border-radius: 10px; border-left: 4px solid #FF8C00;border: 1px solid #444'>
|
562 |
+
<h3 style='color: #87CEEB; margin: 0 0 10px 0; font-size: 16px;'>π Metrics</h3>
|
563 |
+
<table style='width: 100%; font-size: 12px;'>
|
564 |
+
<tr><td style='color: #87CEEB; font-weight: bold; padding: 4px 0;'>π Views:</td><td style='color: #FFFFFF; padding: 4px 0;'>{self.format_number(view_count)}</td></tr>
|
565 |
+
<tr><td style='color: #87CEEB; font-weight: bold; padding: 4px 0;'>π Likes:</td><td style='color: #FFFFFF; padding: 4px 0;'>{self.format_number(like_count)}</td></tr>
|
566 |
+
<tr><td style='color: #87CEEB; font-weight: bold; padding: 4px 0;'>π¬ Comments:</td><td style='color: #FFFFFF; padding: 4px 0;'>{self.format_number(comment_count)}</td></tr>
|
567 |
+
<tr><td style='color: #87CEEB; font-weight: bold; padding: 4px 0;'>π Engagement:</td><td style='color: #FFFFFF; padding: 4px 0;'>{engagement_rate:.2f}%</td></tr>
|
568 |
+
</table>
|
569 |
+
</div>
|
570 |
+
|
571 |
+
<!-- Content Analysis Card -->
|
572 |
+
<div style='background:rgba(135, 206, 235, 0.1); padding: 15px; border-radius: 10px; border-left: 4px solid #87CEEB;border: 1px solid #444'>
|
573 |
+
<h3 style='color:#87CEEB; margin: 0 0 10px 0; font-size: 16px;'>π― Analysis</h3>
|
574 |
+
<table style='width: 100%; font-size: 12px;'>
|
575 |
+
<tr><td style='color: #87CEEB; font-weight: bold; padding: 4px 0;'>π Type:</td></tr>
|
576 |
+
<tr><td style='color: #FFFFFF; padding: 4px 0 8px 0; word-break: break-word;'>{video_type}</td></tr>
|
577 |
+
<tr><td style='color: #87CEEB; font-weight: bold; padding: 4px 0;'>π΅ Music:</td></tr>
|
578 |
+
<tr><td style='color: #FFFFFF; padding: 4px 0 8px 0; word-break: break-word;'>{background_music[:30]}{'...' if len(background_music) > 30 else ''}</td></tr>
|
579 |
+
<tr><td style='color: #87CEEB; font-weight: bold; padding: 4px 0;'>π Status:</td></tr>
|
580 |
+
<tr><td style='color: #FFFFFF; padding: 4px 0; word-break: break-word;'>{influencer_status[:25]}{'...' if len(influencer_status) > 25 else ''}</td></tr>
|
581 |
+
</table>
|
582 |
+
</div>
|
583 |
+
</div>
|
584 |
+
|
585 |
+
<!-- Scene Breakdown Section -->
|
586 |
+
<div style='background: rgba(0, 0, 0, 0.3); padding: 15px; border-radius: 10px; border: 1px solid #444;'>
|
587 |
+
<h3 style='color: #87CEEB; margin: 0 0 15px 0; font-size: 18px; text-align: center;'>π¬ Scene-by-Scene Breakdown</h3>
|
588 |
+
{scene_table_html}
|
589 |
+
</div>
|
590 |
+
|
591 |
+
</div>
|
592 |
"""
|
593 |
+
|
594 |
+
return report.strip()
|
595 |
+
|
596 |
+
def get_video_info(self, url, progress=gr.Progress(), cookiefile=None):
|
597 |
+
"""Extract video information"""
|
598 |
+
if not url or not url.strip():
|
599 |
+
return None, "β Please enter a YouTube URL"
|
600 |
+
|
601 |
+
if not self.is_valid_youtube_url(url):
|
602 |
+
return None, "β Invalid YouTube URL format"
|
603 |
+
|
604 |
+
try:
|
605 |
+
progress(0.1, desc="Initializing YouTube extractor...")
|
606 |
+
|
607 |
+
ydl_opts = {
|
608 |
+
'noplaylist': True,
|
609 |
+
'extract_flat': False,
|
610 |
+
}
|
611 |
+
|
612 |
+
if cookiefile and os.path.exists(cookiefile):
|
613 |
+
ydl_opts['cookiefile'] = cookiefile
|
614 |
+
|
615 |
+
progress(0.5, desc="Extracting video metadata...")
|
616 |
+
|
617 |
+
with yt_dlp.YoutubeDL(ydl_opts) as ydl:
|
618 |
+
info = ydl.extract_info(url, download=False)
|
619 |
+
|
620 |
+
progress(1.0, desc="β
Analysis complete!")
|
621 |
+
|
622 |
+
return info, "β
Video information extracted successfully"
|
623 |
+
|
624 |
+
except Exception as e:
|
625 |
+
return None, f"β Error: {str(e)}"
|
626 |
+
|
627 |
+
def download_video(self, url, quality="best", audio_only=False, progress=gr.Progress(), cookiefile=None):
|
628 |
+
"""Download video with progress tracking"""
|
629 |
+
if not url or not url.strip():
|
630 |
+
return None, "β Please enter a YouTube URL"
|
631 |
+
|
632 |
+
if not self.is_valid_youtube_url(url):
|
633 |
+
return None, "β Invalid YouTube URL format"
|
634 |
+
|
635 |
+
try:
|
636 |
+
progress(0.1, desc="Preparing download...")
|
637 |
+
|
638 |
+
# Create unique filename
|
639 |
+
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
|
640 |
+
|
641 |
+
# Download to temp directory first (Gradio compatible)
|
642 |
+
ydl_opts = {
|
643 |
+
'outtmpl': os.path.join(self.temp_downloads, f'%(title)s_{timestamp}.%(ext)s'),
|
644 |
+
'noplaylist': True,
|
645 |
+
}
|
646 |
+
|
647 |
+
if audio_only:
|
648 |
+
ydl_opts['format'] = 'bestaudio/best'
|
649 |
+
ydl_opts['postprocessors'] = [{
|
650 |
+
'key': 'FFmpegExtractAudio',
|
651 |
+
'preferredcodec': 'mp3',
|
652 |
+
'preferredquality': '192',
|
653 |
+
}]
|
654 |
+
else:
|
655 |
+
if quality == "best":
|
656 |
+
ydl_opts['format'] = 'best[height<=1080]'
|
657 |
+
elif quality == "720p":
|
658 |
+
ydl_opts['format'] = 'best[height<=720]'
|
659 |
+
elif quality == "480p":
|
660 |
+
ydl_opts['format'] = 'best[height<=480]'
|
661 |
+
else:
|
662 |
+
ydl_opts['format'] = 'best'
|
663 |
+
|
664 |
+
if cookiefile and os.path.exists(cookiefile):
|
665 |
+
ydl_opts['cookiefile'] = cookiefile
|
666 |
+
|
667 |
+
# Progress hook
|
668 |
+
def progress_hook(d):
|
669 |
+
if d['status'] == 'downloading':
|
670 |
+
if 'total_bytes' in d:
|
671 |
+
percent = (d['downloaded_bytes'] / d['total_bytes']) * 100
|
672 |
+
progress(0.1 + (percent / 100) * 0.7, desc=f"Downloading... {percent:.1f}%")
|
673 |
+
else:
|
674 |
+
progress(0.5, desc="Downloading...")
|
675 |
+
elif d['status'] == 'finished':
|
676 |
+
progress(0.8, desc="Processing download...")
|
677 |
+
|
678 |
+
ydl_opts['progress_hooks'] = [progress_hook]
|
679 |
+
|
680 |
+
with yt_dlp.YoutubeDL(ydl_opts) as ydl:
|
681 |
+
info = ydl.extract_info(url, download=True)
|
682 |
+
|
683 |
+
progress(0.9, desc="Copying to Downloads folder...")
|
684 |
+
|
685 |
+
# Find the downloaded file in temp directory
|
686 |
+
downloaded_file_temp = None
|
687 |
+
|
688 |
+
for file in os.listdir(self.temp_downloads):
|
689 |
+
if timestamp in file:
|
690 |
+
downloaded_file_temp = os.path.join(self.temp_downloads, file)
|
691 |
+
break
|
692 |
+
|
693 |
+
if not downloaded_file_temp:
|
694 |
+
return None, "β Downloaded file not found in temp directory"
|
695 |
+
|
696 |
+
# Copy to user's Downloads folder
|
697 |
+
final_filename = os.path.basename(downloaded_file_temp)
|
698 |
+
final_path = os.path.join(self.downloads_folder, final_filename)
|
699 |
+
|
700 |
+
try:
|
701 |
+
shutil.copy2(downloaded_file_temp, final_path)
|
702 |
+
copy_success = True
|
703 |
+
except Exception as e:
|
704 |
+
print(f"Warning: Could not copy to Downloads folder: {e}")
|
705 |
+
copy_success = False
|
706 |
+
final_path = "File downloaded to temp location only"
|
707 |
+
|
708 |
+
progress(1.0, desc="β
Download complete!")
|
709 |
+
|
710 |
+
success_msg = f"""β
Download successful!
|
711 |
+
π Temp file (for download): {os.path.basename(downloaded_file_temp)}
|
712 |
+
π Permanent location: {final_path if copy_success else 'Copy failed'}
|
713 |
+
π― File size: {os.path.getsize(downloaded_file_temp) / (1024*1024):.1f} MB"""
|
714 |
+
|
715 |
+
return downloaded_file_temp, success_msg
|
716 |
+
|
717 |
+
except Exception as e:
|
718 |
+
return None, f"β Download failed: {str(e)}"
|
719 |
+
|
720 |
+
# Initialize global downloader
|
721 |
+
downloader = YouTubeDownloader()
|
722 |
+
|
723 |
+
def configure_api_key(api_key):
|
724 |
+
"""Configure Gemini API key"""
|
725 |
+
if not api_key or not api_key.strip():
|
726 |
+
return "β Please enter a valid Google API key", gr.update(visible=False)
|
727 |
+
|
728 |
+
success, message = downloader.configure_gemini(api_key.strip())
|
729 |
+
|
730 |
+
if success:
|
731 |
+
return message, gr.update(visible=True)
|
732 |
+
else:
|
733 |
+
return message, gr.update(visible=False)
|
734 |
+
|
735 |
+
def analyze_with_cookies(url, cookies_file, progress=gr.Progress()):
|
736 |
+
"""Main analysis function"""
|
737 |
+
try:
|
738 |
+
progress(0.05, desc="Starting analysis...")
|
739 |
+
|
740 |
+
cookiefile = None
|
741 |
+
if cookies_file and os.path.exists(cookies_file):
|
742 |
+
cookiefile = cookies_file
|
743 |
+
|
744 |
+
info, msg = downloader.get_video_info(url, progress=progress, cookiefile=cookiefile)
|
745 |
+
|
746 |
+
if info:
|
747 |
+
progress(0.95, desc="Generating comprehensive report...")
|
748 |
+
formatted_info = downloader.format_video_info(info)
|
749 |
+
progress(1.0, desc="β
Complete!")
|
750 |
+
return formatted_info
|
751 |
+
else:
|
752 |
+
return f"β Analysis Failed: {msg}"
|
753 |
+
|
754 |
+
except Exception as e:
|
755 |
+
return f"β System Error: {str(e)}"
|
756 |
+
|
757 |
+
|
758 |
+
def analyze_and_generate_pdf(url, cookies_file, progress=gr.Progress()):
|
759 |
+
try:
|
760 |
+
progress(0.1, desc="Extracting video info...")
|
761 |
+
cookiefile = cookies_file if cookies_file and os.path.exists(cookies_file) else None
|
762 |
+
info, _ = downloader.get_video_info(url, progress=progress, cookiefile=cookiefile)
|
763 |
+
|
764 |
+
if not info:
|
765 |
+
print("β οΈ No video info returned.")
|
766 |
+
return None # This is the problem - returns None instead of Gradio update
|
767 |
+
|
768 |
+
progress(0.6, desc="Generating HTML report...")
|
769 |
+
report_html = downloader.format_video_info(info)
|
770 |
+
|
771 |
+
progress(0.8, desc="Creating PDF...")
|
772 |
+
pdf_buffer = generate_pdf_from_html(report_html)
|
773 |
+
|
774 |
+
if pdf_buffer:
|
775 |
+
pdf_path = os.path.join(downloader.downloads_folder, f"analysis_report_{uuid.uuid4().hex}.pdf")
|
776 |
+
with open(pdf_path, "wb") as f:
|
777 |
+
f.write(pdf_buffer.read())
|
778 |
+
print("β
PDF generated at:", pdf_path)
|
779 |
+
print("File exists:", os.path.exists(pdf_path))
|
780 |
+
|
781 |
+
progress(1.0, desc="β
PDF ready!")
|
782 |
+
return pdf_path # This should return a Gradio update
|
783 |
+
else:
|
784 |
+
print("β PDF buffer is empty.")
|
785 |
+
return None # This should return a Gradio update
|
786 |
|
787 |
+
except Exception as e:
|
788 |
+
print(f"PDF generation error: {e}")
|
789 |
+
return None # This should return a Gradio update
|
790 |
|
791 |
+
def generate_pdf_from_html(html_content):
|
792 |
+
"""Generate PDF with simplified HTML that works better with xhtml2pdf"""
|
793 |
+
try:
|
794 |
+
# Create a simplified version of the HTML for PDF generation
|
795 |
+
# Remove complex CSS that xhtml2pdf can't handle
|
796 |
+
simplified_html = html_content.replace(
|
797 |
+
"background: linear-gradient(135deg, #2d3748, #1a202c);",
|
798 |
+
"background-color: #f5f5f5;"
|
799 |
+
).replace(
|
800 |
+
"background: linear-gradient(90deg, #FF8C00, #87CEEB);",
|
801 |
+
"background-color: #FF8C00;"
|
802 |
+
).replace(
|
803 |
+
"rgba(135, 206, 235, 0.1)",
|
804 |
+
"#f9f9f9"
|
805 |
+
).replace(
|
806 |
+
"rgba(0, 0, 0, 0.3)",
|
807 |
+
"#ffffff"
|
808 |
+
).replace(
|
809 |
+
"text-shadow: 2px 2px 4px rgba(0,0,0,0.5);",
|
810 |
+
""
|
811 |
+
).replace(
|
812 |
+
"box-shadow: 0 8px 32px rgba(255, 140, 0, 0.3);",
|
813 |
+
""
|
814 |
+
).replace(
|
815 |
+
"box-shadow: 0 4px 8px rgba(0,0,0,0.3);",
|
816 |
+
""
|
817 |
+
).replace(
|
818 |
+
"display: grid; grid-template-columns: 1fr 1fr 1fr; gap: 15px;",
|
819 |
+
"display: block;"
|
820 |
+
).replace(
|
821 |
+
"background-color:#1a1a1a;",
|
822 |
+
"background-color:#ffffff;"
|
823 |
+
).replace(
|
824 |
+
"color: #FFFFFF;",
|
825 |
+
"color: #000000;"
|
826 |
+
).replace(
|
827 |
+
"background-color:#FF8C00; color: #000000;",
|
828 |
+
"background-color:#FF8C00; color: #000000;"
|
829 |
+
).replace(
|
830 |
+
"color: #87CEEB;",
|
831 |
+
"color: #000080;"
|
832 |
+
).replace(
|
833 |
+
"border: 2px solid #FF8C00;",
|
834 |
+
"border: 1px solid #FF8C00;"
|
835 |
+
)
|
836 |
+
|
837 |
+
# Remove table styling that causes issues
|
838 |
+
simplified_html = re.sub(r"style='[^']*background-color:#1a1a1a[^']*'", "style='background-color:#ffffff;'", simplified_html)
|
839 |
+
simplified_html = re.sub(r"style='[^']*color: #87CEEB[^']*'", "style='color: #000080; padding: 8px;'", simplified_html)
|
840 |
+
|
841 |
+
# Wrap in a complete HTML document with PDF-friendly CSS
|
842 |
+
pdf_html = f"""
|
843 |
+
<!DOCTYPE html>
|
844 |
+
<html>
|
845 |
+
<head>
|
846 |
+
<meta charset="UTF-8">
|
847 |
+
<style>
|
848 |
+
@page {{
|
849 |
+
size: A4;
|
850 |
+
margin: 1cm;
|
851 |
+
}}
|
852 |
+
body {{
|
853 |
+
font-family: Arial, sans-serif;
|
854 |
+
font-size: 12px;
|
855 |
+
line-height: 1.4;
|
856 |
+
color: #000000;
|
857 |
+
background-color: #ffffff;
|
858 |
+
}}
|
859 |
+
.report-container {{
|
860 |
+
background-color: #ffffff;
|
861 |
+
padding: 15px;
|
862 |
+
border: 2px solid #FF8C00;
|
863 |
+
border-radius: 8px;
|
864 |
+
}}
|
865 |
+
.header {{
|
866 |
+
text-align: center;
|
867 |
+
color: #FF8C00;
|
868 |
+
font-size: 20px;
|
869 |
+
font-weight: bold;
|
870 |
+
margin-bottom: 15px;
|
871 |
+
border-bottom: 2px solid #FF8C00;
|
872 |
+
padding-bottom: 8px;
|
873 |
+
}}
|
874 |
+
.info-card {{
|
875 |
+
background-color: #f9f9f9;
|
876 |
+
padding: 12px;
|
877 |
+
margin: 8px 0;
|
878 |
+
border-left: 3px solid #87CEEB;
|
879 |
+
border-radius: 4px;
|
880 |
+
page-break-inside: avoid;
|
881 |
+
}}
|
882 |
+
.info-title {{
|
883 |
+
color: #000080;
|
884 |
+
font-size: 14px;
|
885 |
+
font-weight: bold;
|
886 |
+
margin-bottom: 8px;
|
887 |
+
}}
|
888 |
+
table {{
|
889 |
+
width: 100%;
|
890 |
+
border-collapse: collapse;
|
891 |
+
margin: 8px 0;
|
892 |
+
page-break-inside: avoid;
|
893 |
+
}}
|
894 |
+
th, td {{
|
895 |
+
padding: 6px 8px;
|
896 |
+
border: 1px solid #cccccc;
|
897 |
+
text-align: left;
|
898 |
+
vertical-align: top;
|
899 |
+
font-size: 11px;
|
900 |
+
}}
|
901 |
+
th {{
|
902 |
+
background-color: #FF8C00;
|
903 |
+
color: #000000;
|
904 |
+
font-weight: bold;
|
905 |
+
}}
|
906 |
+
tr:nth-child(even) {{
|
907 |
+
background-color: #f9f9f9;
|
908 |
+
}}
|
909 |
+
.scene-table {{
|
910 |
+
margin-top: 15px;
|
911 |
+
}}
|
912 |
+
.scene-header {{
|
913 |
+
color: #000080;
|
914 |
+
font-size: 16px;
|
915 |
+
font-weight: bold;
|
916 |
+
text-align: center;
|
917 |
+
margin-bottom: 10px;
|
918 |
+
}}
|
919 |
+
div[style*="display: grid"] {{
|
920 |
+
display: block !important;
|
921 |
+
}}
|
922 |
+
div[style*="grid-template-columns"] > div {{
|
923 |
+
display: block !important;
|
924 |
+
margin-bottom: 10px !important;
|
925 |
+
width: 100% !important;
|
926 |
+
}}
|
927 |
+
</style>
|
928 |
+
</head>
|
929 |
+
<body>
|
930 |
+
<div class="report-container">
|
931 |
+
{simplified_html}
|
932 |
+
</div>
|
933 |
+
</body>
|
934 |
+
</html>
|
935 |
+
"""
|
936 |
+
|
937 |
+
result = BytesIO()
|
938 |
+
pisa_status = pisa.CreatePDF(pdf_html, dest=result)
|
939 |
+
|
940 |
+
if pisa_status.err:
|
941 |
+
print(f"PDF generation error: {pisa_status.err}")
|
942 |
+
return None
|
943 |
+
|
944 |
+
result.seek(0)
|
945 |
+
return result
|
946 |
+
|
947 |
+
except Exception as e:
|
948 |
+
print(f"PDF generation exception: {e}")
|
949 |
+
return None
|
950 |
|
|
|
|
|
|
|
|
|
|
|
951 |
|
|
|
|
|
952 |
|
953 |
+
def download_with_cookies(url, quality, audio_only, cookies_file, progress=gr.Progress()):
|
954 |
+
"""Main download function"""
|
955 |
+
try:
|
956 |
+
progress(0.05, desc="Preparing download...")
|
957 |
+
|
958 |
+
cookiefile = None
|
959 |
+
if cookies_file and os.path.exists(cookies_file):
|
960 |
+
cookiefile = cookies_file
|
961 |
+
|
962 |
+
file_path, msg = downloader.download_video(url, quality, audio_only, progress=progress, cookiefile=cookiefile)
|
963 |
+
|
964 |
+
if file_path:
|
965 |
+
return file_path, msg
|
966 |
+
else:
|
967 |
+
return None, msg
|
968 |
+
|
969 |
+
except Exception as e:
|
970 |
+
return None, f"β System Error: {str(e)}"
|
971 |
|
972 |
+
def create_interface():
|
973 |
+
"""Create and configure the Gradio interface"""
|
974 |
+
with gr.Blocks(
|
975 |
+
css="""
|
976 |
+
/* Main dark theme background and text */
|
977 |
+
.gradio-container, .app, body {
|
978 |
+
background-color: #1a1a1a !important;
|
979 |
+
color: #87CEEB !important;
|
980 |
+
font-weight: bold !important;
|
981 |
+
}
|
982 |
+
/* π΅ Dark blue overrides for key labels */
|
983 |
+
h3, .gr-group h3, .gradio-container h3 {
|
984 |
+
color: #87CEEB !important;
|
985 |
+
}
|
986 |
+
label, .gr-textbox label, .gr-file label, .gr-dropdown label, .gr-checkbox label {
|
987 |
+
color: #00008B !important;
|
988 |
+
font-weight: bold !important;
|
989 |
+
}
|
990 |
+
.gr-file .file-name {
|
991 |
+
color: #00008B !important;
|
992 |
+
font-weight: bold !important;
|
993 |
+
}
|
994 |
+
/* Make tab labels dark blue too */
|
995 |
+
.gr-tab-nav button {
|
996 |
+
color: #00008B !important;
|
997 |
+
}
|
998 |
+
.gr-tab-nav button.selected {
|
999 |
+
background-color: #FF8C00 !important;
|
1000 |
+
color: #000000 !important;
|
1001 |
+
}
|
1002 |
+
/* Light blue text for API status */
|
1003 |
+
.light-blue-text textarea {
|
1004 |
+
color: #87CEEB !important;
|
1005 |
+
background-color: #2a2a2a !important;
|
1006 |
+
}
|
1007 |
+
.gr-file {
|
1008 |
+
background-color: #2a2a2a !important;
|
1009 |
+
border: 2px dashed #444 !important;
|
1010 |
+
}
|
1011 |
+
.gr-group, .gr-form, .gr-row {
|
1012 |
+
background-color: #1a1a1a !important;
|
1013 |
+
border: 1px solid #444 !important;
|
1014 |
+
border-radius: 10px;
|
1015 |
+
padding: 15px;
|
1016 |
+
}
|
1017 |
+
""",
|
1018 |
+
theme=gr.themes.Soft(),
|
1019 |
+
title="π YouTube Video Analyzer & Downloader"
|
1020 |
+
) as demo:
|
1021 |
+
|
1022 |
+
# API Key Configuration Section
|
1023 |
+
with gr.Group():
|
1024 |
+
gr.HTML("<h3>π Google Gemini API Configuration</h3>")
|
1025 |
+
with gr.Row():
|
1026 |
+
api_key_input = gr.Textbox(
|
1027 |
+
label="π Google API Key",
|
1028 |
+
placeholder="Enter your Google API Key for enhanced AI analysis...",
|
1029 |
+
type="password",
|
1030 |
+
value=""
|
1031 |
+
)
|
1032 |
+
configure_btn = gr.Button("π§ Configure API", variant="secondary")
|
1033 |
+
|
1034 |
+
api_status = gr.Textbox(
|
1035 |
+
label="API Status",
|
1036 |
+
value="β Gemini API not configured - Using fallback analysis",
|
1037 |
+
interactive=False,
|
1038 |
+
lines=1,
|
1039 |
+
elem_classes="light-blue-text"
|
1040 |
+
)
|
1041 |
+
|
1042 |
+
# Main Interface (initially hidden until API is configured)
|
1043 |
+
main_interface = gr.Group(visible=False)
|
1044 |
+
|
1045 |
+
with main_interface:
|
1046 |
+
with gr.Row():
|
1047 |
+
url_input = gr.Textbox(
|
1048 |
+
label="π YouTube URL",
|
1049 |
+
placeholder="Paste your YouTube video URL here...",
|
1050 |
+
value=""
|
1051 |
+
)
|
1052 |
+
|
1053 |
+
cookies_input = gr.File(
|
1054 |
+
label="πͺ Upload cookies.txt (Mandatory)",
|
1055 |
+
file_types=[".txt"],
|
1056 |
+
type="filepath"
|
1057 |
+
)
|
1058 |
+
|
1059 |
+
with gr.Tabs():
|
1060 |
+
with gr.TabItem("π Video Analysis"):
|
1061 |
+
analyze_btn = gr.Button("π Analyze Video", variant="primary")
|
1062 |
+
|
1063 |
+
analysis_output = gr.HTML(
|
1064 |
+
label="π Analysis Report",
|
1065 |
+
)
|
1066 |
+
download_pdf_btn = gr.Button("π Download Report as PDF", variant="secondary")
|
1067 |
+
pdf_file_output = gr.File(label="π₯ PDF Report", visible=False,interactive=False)
|
1068 |
|
1069 |
+
analyze_btn.click(
|
1070 |
+
fn=analyze_with_cookies,
|
1071 |
+
inputs=[url_input, cookies_input],
|
1072 |
+
outputs=analysis_output,
|
1073 |
+
show_progress=True
|
1074 |
+
)
|
1075 |
+
download_pdf_btn.click(
|
1076 |
+
fn=analyze_and_generate_pdf,
|
1077 |
+
inputs=[url_input, cookies_input],
|
1078 |
+
outputs=pdf_file_output,
|
1079 |
+
show_progress=True
|
1080 |
+
)
|
1081 |
+
|
1082 |
+
|
1083 |
+
with gr.TabItem("β¬οΈ Video Download"):
|
1084 |
+
with gr.Row():
|
1085 |
+
quality_dropdown = gr.Dropdown(
|
1086 |
+
choices=["best", "720p", "480p"],
|
1087 |
+
value="best",
|
1088 |
+
label="πΊ Video Quality"
|
1089 |
+
)
|
1090 |
+
|
1091 |
+
audio_only_checkbox = gr.Checkbox(
|
1092 |
+
label="π΅ Audio Only (MP3)",
|
1093 |
+
value=False
|
1094 |
+
)
|
1095 |
+
|
1096 |
+
download_btn = gr.Button("β¬οΈ Download Video", variant="primary")
|
1097 |
+
|
1098 |
+
download_status = gr.Textbox(
|
1099 |
+
label="π₯ Download Status",
|
1100 |
+
lines=5,
|
1101 |
+
show_copy_button=True
|
1102 |
+
)
|
1103 |
+
|
1104 |
+
download_file = gr.File(
|
1105 |
+
label="π Downloaded File",
|
1106 |
+
visible=False
|
1107 |
+
)
|
1108 |
+
|
1109 |
+
def download_and_update(url, quality, audio_only, cookies_file, progress=gr.Progress()):
|
1110 |
+
file_path, status = download_with_cookies(url, quality, audio_only, cookies_file, progress)
|
1111 |
+
if file_path and os.path.exists(file_path):
|
1112 |
+
return status, gr.update(value=file_path, visible=True)
|
1113 |
+
else:
|
1114 |
+
return status, gr.update(visible=False)
|
1115 |
+
|
1116 |
+
download_btn.click(
|
1117 |
+
fn=download_and_update,
|
1118 |
+
inputs=[url_input, quality_dropdown, audio_only_checkbox, cookies_input],
|
1119 |
+
outputs=[download_status, download_file],
|
1120 |
+
show_progress=True
|
1121 |
+
)
|
1122 |
+
|
1123 |
+
# Configure API key button action
|
1124 |
+
configure_btn.click(
|
1125 |
+
fn=configure_api_key,
|
1126 |
+
inputs=[api_key_input],
|
1127 |
+
outputs=[api_status, main_interface]
|
1128 |
+
)
|
1129 |
+
|
1130 |
+
# Always show interface option (for fallback mode)
|
1131 |
+
with gr.Row():
|
1132 |
+
show_interface_btn = gr.Button("π Use Without Gemini API (Fallback Mode)", variant="secondary")
|
1133 |
+
|
1134 |
+
def show_fallback_interface():
|
1135 |
+
return "β οΈ Using fallback analysis mode", gr.update(visible=True)
|
1136 |
+
|
1137 |
+
show_interface_btn.click(
|
1138 |
+
fn=show_fallback_interface,
|
1139 |
+
outputs=[api_status, main_interface]
|
1140 |
+
)
|
1141 |
+
|
1142 |
+
gr.HTML("""
|
1143 |
+
<div style="margin-top: 20px; padding: 15px; background-color: #2a2a2a; border-radius: 10px; border-left: 5px solid #FF8C00; color: #87CEEB !important;">
|
1144 |
+
<h3 style="color: #87CEEB !important; font-weight: bold;">π How to Get Google API Key:</h3>
|
1145 |
+
<ol style="color: #87CEEB !important; font-weight: bold;">
|
1146 |
+
<li style="color: #87CEEB !important;">Go to <a href="https://console.cloud.google.com/" target="_blank" style="color: #87CEEB !important;">Google Cloud Console</a></li>
|
1147 |
+
<li style="color: #87CEEB !important;">Create a new project or select an existing one</li>
|
1148 |
+
<li style="color: #87CEEB !important;">Enable the "Generative Language API"</li>
|
1149 |
+
<li style="color: #87CEEB !important;">Go to "Credentials" and create an API key</li>
|
1150 |
+
<li style="color: #87CEEB !important;">Copy the API key and paste it above</li>
|
1151 |
+
</ol>
|
1152 |
+
<h3 style="color: #87CEEB !important; font-weight: bold;">β¨ Benefits of using Gemini API:</h3>
|
1153 |
+
<ul style="color: #87CEEB !important; font-weight: bold;">
|
1154 |
+
<li style="color: #87CEEB !important;">π€ AI-powered scene descriptions with contextual understanding</li>
|
1155 |
+
<li style="color: #87CEEB !important;">π― More accurate content type detection</li>
|
1156 |
+
<li style="color: #87CEEB !important;">π Enhanced analysis based on video content</li>
|
1157 |
+
<li style="color: #87CEEB !important;">β° Intelligent timestamp segmentation</li>
|
1158 |
+
</ul>
|
1159 |
+
</div>
|
1160 |
+
""")
|
1161 |
+
|
1162 |
+
return demo
|
1163 |
+
if __name__ == "__main__":
|
1164 |
+
demo = create_interface()
|
1165 |
+
import atexit
|
1166 |
+
atexit.register(downloader.cleanup)
|
1167 |
+
demo.launch(debug=True, show_error=True)
|