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import gradio as gr
import logging
import json
import os
from typing import Dict, Any, List
from itertools import groupby
# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
video_folder = 'video/'
metadata_folder = 'metadata/'
def load_video_list() -> List[Dict[str, str]]:
video_list = []
for filename in os.listdir(video_folder):
if filename.endswith('.mp4'):
video_id = os.path.splitext(filename)[0]
metadata_path = os.path.join(metadata_folder, f"{video_id}.json")
if os.path.exists(metadata_path):
with open(metadata_path, 'r') as f:
metadata = json.load(f)
metadata = metadata['content_metadata']
title = metadata.get('title', 'Untitled')
video_list.append({"video_id": video_id, "title": title})
# Define the custom order for the first five videos
custom_order = ['7BhJmDPB7RU', 'PrAwsi3Ldzo', '3rhsSPxQ39c', 'P7WnJZ55sgc', 'g9GtUQs7XUM']
# Custom sorting function
def custom_sort(item):
try:
return custom_order.index(item['video_id'])
except ValueError:
return len(custom_order) + 1 # Place non-specified videos after the custom ordered ones
# Sort the video list
video_list.sort(key=lambda x: (custom_sort(x), x['title']))
return video_list
def score_to_emoji(score):
if score < 0.2:
return "😴"
elif score < 0.4:
return "🙂"
elif score < 0.6:
return "😊"
elif score < 0.8:
return "😃"
else:
return "🤩"
def load_metadata(video_id: str) -> Dict[str, Any]:
metadata_path = os.path.join(metadata_folder, f"{video_id}.json")
try:
with open(metadata_path, 'r') as f:
asd =json.load(f)
return asd['content_metadata']
except FileNotFoundError:
logger.error(f"Metadata file not found for video ID: {video_id}")
raise
except json.JSONDecodeError:
logger.error(f"Invalid JSON in metadata file for video ID: {video_id}")
raise
def timestamp_to_seconds(timestamp: str) -> float:
try:
h, m, s = timestamp.split(':')
return int(h) * 3600 + int(m) * 60 + float(s)
except ValueError:
logger.error(f"Invalid timestamp format: {timestamp}")
return 0.0
def format_timestamp(timestamp: str) -> str:
try:
h, m, s = timestamp.split(':')
return f"{int(m):02d}:{int(float(s)):02d}"
except Exception as e:
logger.error(f"Invalid timestamp format: {timestamp}")
return ""
def create_scene_table(scene: Dict[str, Any]) -> str:
dynamism_score = scene.get('dynamismScore', 0)
av_correlation = scene.get('audioVisualCorrelation', 0)
cast = ", ".join([cast_member for cast_member in scene.get('cast', [])])
output = f"""
<div class="scene-container">
<h3>Scene {scene.get('sceneId', 'Unknown')}: {scene.get('title', '')}</h3>
<p>Dynamism: {score_to_emoji(dynamism_score)} Audio-visual correlation: {score_to_emoji(av_correlation)} Cast: {cast}</p>
<table class="metadata-table">
<tr>
<th>Timestamp</th>
<th>Type</th>
<th>Description</th>
</tr>
"""
scene_events = []
# Collect all scene data
data_types = [
('Activities', scene.get('activities', [])),
('Props', scene.get('props', [])),
('Mood', [scene.get('mood', {})]),
('Narrative Progression', scene.get('narrativeProgression', [])),
('Video Editing Details', scene.get('videoEditingDetails', [])),
('Thematic Elements', [{'description': scene.get('thematicElements', '')}]),
('Contextual Relevance', [{'description': scene.get('contextualRelevance', '')}]),
('Character Interaction', scene.get('characterInteraction', []))
]
for data_type, data_list in data_types:
for item in data_list:
if isinstance(item, dict):
start_time = ''
end_time = ''
description = ''
if data_type == 'Activities':
start_time = item.get('timestamp', {}).get('start_timestamp', '')
end_time = item.get('timestamp', {}).get('end_timestamp', '')
description = item.get('description', '')
elif data_type == 'Props':
start_time = item.get('timestamp', {}).get('start_timestamp', '')
end_time = item.get('timestamp', {}).get('end_timestamp', '')
description = item.get('name', '')
elif data_type == 'Video Editing Details':
start_time = item.get('timestamps', {}).get('start_timestamp', '')
end_time = item.get('timestamps', {}).get('end_timestamp', '')
description = item.get('description', '')
elif data_type == 'Mood':
description = item.get('description', '')
# Handle mood changes
for mood_change in item.get('keyMoments', []):
if isinstance(mood_change, dict):
scene_events.append({
'timestamp_start': mood_change.get('timestamp', ''),
'timestamp_end': '',
'type': 'Mood Change',
'description': mood_change.get('changeDescription', '')
})
elif data_type == 'Character Interaction':
characters = ', '.join(item.get('characters', []))
description = f"{characters}: {item.get('description', '')}"
else:
start_time = item.get('timestamp', '')
description = item.get('description', '')
scene_events.append({
'timestamp_start': start_time,
'timestamp_end': end_time,
'type': data_type,
'description': description
})
elif isinstance(item, str):
scene_events.append({
'timestamp_start': '',
'timestamp_end': '',
'type': data_type,
'description': item
})
# Sort events by timestamp
scene_events.sort(key=lambda x: x['timestamp_start'] if x['timestamp_start'] else '')
for event in scene_events:
start_time = format_timestamp(event['timestamp_start'])
end_time = format_timestamp(event['timestamp_end'])
start_link = f'<a href="#" class="timestamp-link" data-timestamp="{event["timestamp_start"]}">{start_time}</a>' if start_time else ''
end_link = f' - <a href="#" class="timestamp-link" data-timestamp="{event["timestamp_end"]}">{end_time}</a>' if end_time else ''
output += f"""
<tr>
<td>{start_link}{end_link}</td>
<td>{event['type']}</td>
<td>{event['description']}</td>
</tr>
"""
output += """
</table>
</div>
"""
return output
def create_storylines_table(storylines: Dict[str, Any]) -> str:
output = """
<div class="storylines-container">
<h3>Storylines</h3>
<table class="metadata-table">
<tr>
<th>Storyline</th>
<th>Scenes Involved</th>
</tr>
"""
output += f"""
<tr>
<td>{storylines.get('description', 'No description available')}</td>
<td>{', '.join(map(str, storylines.get('scenes', [])))}</td>
</tr>
"""
output += """
</table>
</div>
"""
return output
def create_qa_section(qa_list: List[Dict[str, str]]) -> str:
output = """
<div class="qa-container">
<h3>Q&A</h3>
<div class="chat-discussion">
"""
for qa in qa_list:
output += f"""
<div class="question">{qa.get('question', '')}</div>
<div class="answer">{qa.get('answer', '')}</div>
"""
output += """
</div>
</div>
"""
return output
def create_trimming_suggestions(suggestions: List[Dict[str, Any]]) -> str:
output = """
<div class="trimming-suggestions-container">
<h3>Trimming Suggestions</h3>
<table class="metadata-table">
<tr>
<th>Timestamp</th>
<th>Description</th>
</tr>
"""
for suggestion in suggestions:
start_time = suggestion.get('timestamps', {}).get('start_timestamp', '')
end_time = suggestion.get('timestamps', {}).get('end_timestamp', '')
start_formatted = format_timestamp(start_time)
end_formatted = format_timestamp(end_time)
output += f"""
<tr>
<td>
<a href="#" class="timestamp-link" data-timestamp="{start_time}">{start_formatted}</a>
{f' - <a href="#" class="timestamp-link" data-timestamp="{end_time}">{end_formatted}</a>' if end_time else ''}
</td>
<td>{suggestion.get('description', '')}</td>
</tr>
"""
output += """
</table>
</div>
"""
return output
def create_filmstrip(scenes: List[Dict[str, Any]], video_duration: float) -> str:
filmstrip_html = f"""
<div id="filmstrip-inner" style="position: relative; width: 100%; height: 100%;" data-duration="{video_duration}">
"""
for scene in scenes:
start_time = timestamp_to_seconds(scene['timestamps'].get('start_timestamp', '0:00:00'))
end_time = timestamp_to_seconds(scene['timestamps'].get('end_timestamp', str(video_duration)))
left_pos = (start_time / video_duration) * 100
width = ((end_time - start_time) / video_duration) * 100
title = scene.get('title', '')
filmstrip_html += f'''
<div class="scene-marker" style="position: absolute; left: {left_pos}%; width: {width}%; height: 100%; background-color: rgba(0, 0, 255, 0.2); border-right: 1px solid blue; overflow: hidden;">
<div class="scene-title" style="font-size: 10px; word-wrap: break-word; padding: 2px;">{title}</div>
</div>
'''
filmstrip_html += """
<div id="scrubbing-needle" style="position: absolute; width: 2px; height: 100%; background-color: red; top: 0; left: 0; pointer-events: none;"></div>
</div>
"""
return filmstrip_html
def process_video(video_id: str):
try:
logger.info(f"Processing video with ID: {video_id}")
metadata = load_metadata(video_id)
# Always use the test URL instead of the actual video file
video_url = f"https://huggingface.co/spaces/HuggingFaceFV/FineVideo-Explorer/resolve/main/video/{video_id}.mp4"
# Create HTML for video player
video_html = f"""
<div id="video-wrapper">
<video id="video-player" controls>
<source src="{video_url}" type="video/mp4">
Your browser does not support the video tag.
</video>
</div>
"""
# Character List Table
character_table = """
<h3>Characters</h3>
<table class="metadata-table">
<tr>
<th>Character</th>
<th>Description</th>
</tr>
"""
for character in metadata.get('characterList', []):
character_table += f"""
<tr>
<td>{character.get('name', '')}</td>
<td>{character.get('description', '')}</td>
</tr>
"""
character_table += "</table>"
additional_data = f"""
<div class="video-info">
<h2>{metadata.get('title', 'Untitled')}</h2>
<p><strong>Description:</strong> {metadata.get('description', 'No description available')}</p>
</div>
{character_table}
"""
scenes_output = ""
for scene in metadata.get('scenes', []):
scenes_output += create_scene_table(scene)
storylines_output = create_storylines_table(metadata.get('storylines', {}))
qa_output = create_qa_section(metadata.get('qAndA', []))
trimming_suggestions_output = create_trimming_suggestions(metadata.get('trimmingSuggestions', []))
# Generate filmstrip HTML
last_scene = metadata['scenes'][-1]
video_duration = timestamp_to_seconds(last_scene['timestamps'].get('end_timestamp', '0:00:00'))
filmstrip_html = create_filmstrip(metadata['scenes'], video_duration)
logger.info("Video processing completed successfully")
return video_html, filmstrip_html, additional_data + scenes_output + storylines_output + qa_output + trimming_suggestions_output
except Exception as e:
logger.exception(f"Error processing video: {str(e)}")
return None, "", f"Error processing video: {str(e)}"
css = """
* {
margin: 0;
padding: 0;
box-sizing: border-box;
# flex: 0!important;
}
html, body, gradio-app {
height: 100%;
min-height: unset!important;
max-height: unset!important;
display: block!important;
}
.main {
flex-grow: 1;
flex-shrink: 1;
overflow: hidden;
}
.main .wrap .contain {
flex-grow: 1;
flex-shrink: 1;
overflow: hidden;
}
#component-0 {
overflow: hidden;
}
# .app {
# overflow: hidden;
# }
#top-panel {
flex-shrink: 0;
}
body {
margin: 0;
padding: 0;
font-family: Arial, sans-serif;
overflow: hidden;
}
.container {
display: flex;
flex-direction: column;
height: 100vh;
}
#header {
display: flex;
align-items: center;
padding: 10px;
background-color: white;
}
#logo {
width: auto;
height: 150px;
box-shadow: none !important;
border: none !important;
background: none !important;
object-fit: contain;
}
#header-content {
flex-grow: 1;
display: flex;
justify-content: space-between;
align-items: center;
}
#header-content h1 {
margin: 0;
font-size: 36px;
font-weight: bold;
}
#header-content a {
font-size: 18px;
color: #0066cc;
text-decoration: none;
}
#header-content a:hover {
text-decoration: underline;
}
#top-panel {
height: 33vh;
display: flex;
padding: 10px;
box-shadow: 0 2px 5px rgba(0,0,0,0.1);
overflow: hidden;
}
#video-list-column {
max-height: 80vh; /* Adjust as needed */
overflow-y: auto;
height: 100%;
}
#video-column {
width: 70%;
display: flex;
flex-direction: column;
}
#video-wrapper {
flex-grow: 1;
display: flex;
justify-content: center;
align-items: center;
overflow: hidden;
}
#video-player {
width: 100%;
max-height: calc(33vh - 120px) !important;
}
#filmstrip-container {
width: 100%;
height: 80px !important;
background-color: #f0f0f0;
position: relative;
overflow: hidden;
cursor: pointer;
}
#filmstrip-container > div,
#filmstrip-container > div > div,
#filmstrip-container > div > div > div {
height: 100% !important;
}
#scrollable-content {
overflow-y: auto;
padding: 20px;
}
#metadata-container {
margin-top: 20px;
}
.content-samples {
display: flex;
flex-direction: column;
overflow-y: auto;
max-height: 100%;
}
.content-samples > .wrap {
display: flex;
flex-direction: column;
}
.content-samples .hidden {
display: none !important;
}
.content-samples > .wrap > .wrap {
display: flex !important;
flex-direction: column !important;
}
.content-samples label {
display: block;
padding: 10px;
cursor: pointer;
border-bottom: 1px solid #ddd;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
}
.content-samples label:hover {
background-color: #f0f0f0;
}
.video-info {
margin-bottom: 20px;
}
.scene-container {
margin-bottom: 30px;
}
.metadata-table {
width: 100%;
border-collapse: collapse;
margin-bottom: 20px;
}
.metadata-table th, .metadata-table td {
border: 1px solid #ddd;
padding: 8px;
text-align: left;
}
.metadata-table th {
background-color: #f2f2f2;
}
.metadata-table tr:nth-child(even) {
background-color: #f9f9f9;
}
.timestamp-link {
color: #0066cc;
text-decoration: none;
cursor: pointer;
}
.timestamp-link:hover {
text-decoration: underline;
}
.chat-discussion {
background-color: #f0f0f0;
border-radius: 10px;
padding: 15px;
margin-bottom: 20px;
}
.question {
font-weight: bold;
margin-bottom: 5px;
}
.answer {
margin-bottom: 15px;
padding-left: 15px;
}
.correlation-scores {
font-size: 18px;
margin-bottom: 20px;
}
#reinitialization-overlay {
position: fixed;
top: 0;
left: 0;
width: 100%;
height: 100%;
background-color: rgba(0, 0, 0, 0.5);
display: flex;
justify-content: center;
align-items: center;
z-index: 9999;
color: white;
font-size: 24px;
font-weight: bold;
}
@media (max-width: 768px) {
#header {
flex-direction: column;
align-items: flex-start;
flex-wrap: nowrap;
overflow: hidden;
max-height: 25vh;
}
#header-content h1 {
font-size: 24px;
}
#header-content p {
font-size: 14px;
}
#logo {
align-self: flex-end;
margin-top: 10px;
position: absolute;
top: 12px;
right: -24px;
height: auto!important;
width: 150px;
min-width: 0!important;
margin:0!important;
}
#logo .image-container {
height: auto!important;
}
.image-frame {
height: auto!important;
}
#top-panel {
flex-direction: column;
height: 50vh;
}
#video-list-column, #video-column {
width: 100%;
}
#video-list-column {
flex-grow: 7!important;
}
}
.icon-buttons button {
display: none !important;
}
/* Ensure one element per row in Gradio list */
#video-list-column .wrap {
display: flex;
flex-direction: column;
}
#video-list-column .wrap > .wrap {
display: flex !important;
flex-direction: column !important;
}
#video-list-column label {
display: block;
width: 100%;
}
"""
js = """
<script>
// Wrap everything in an IIFE to avoid polluting the global scope
(function() {
function safeLog(message) {
if (typeof console !== 'undefined' && console.log) {
console.log(message);
}
}
function findFilmstripInner(container) {
if (container.id === 'filmstrip-inner') {
return container;
}
for (let child of container.children) {
let result = findFilmstripInner(child);
if (result) {
return result;
}
}
return null;
}
function initializeFilmstrip() {
//safeLog("Initializing filmstrip...");
var videoElement = document.querySelector('video');
var filmstripContainer = document.getElementById('filmstrip-container');
var filmstripInner = findFilmstripInner(filmstripContainer);
var scrubbingNeedle = document.getElementById('scrubbing-needle');
if (!videoElement || !filmstripContainer || !filmstripInner || !scrubbingNeedle) {
//safeLog("Required elements not found for filmstrip");
return;
}
var videoDuration = parseFloat(filmstripInner.getAttribute('data-duration') || videoElement.duration);
videoElement.addEventListener('timeupdate', function() {
var progress = videoElement.currentTime / videoDuration;
scrubbingNeedle.style.left = (progress * 100) + '%';
});
filmstripContainer.addEventListener('click', function(event) {
var rect = filmstripContainer.getBoundingClientRect();
var clickPosition = (event.clientX - rect.left) / rect.width;
videoElement.currentTime = clickPosition * videoDuration;
});
//safeLog("Filmstrip initialization complete");
}
function initializeTimestampLinks() {
//safeLog("Initializing timestamp links...");
var videoElement = document.querySelector('video');
var links = document.querySelectorAll('.timestamp-link');
if (!videoElement) {
//safeLog("Video element not found for timestamp links");
return;
}
if (links.length === 0) {
//safeLog("No timestamp links found");
return;
}
links.forEach(function(link) {
link.addEventListener('click', function(e) {
e.preventDefault();
var timestamp = this.getAttribute('data-timestamp');
//safeLog("Timestamp link clicked: " + timestamp);
var parts = timestamp.split(':');
var seconds = parseInt(parts[0], 10) * 3600 + parseInt(parts[1], 10) * 60 + parseFloat(parts[2]);
videoElement.currentTime = seconds;
});
});
//safeLog("Timestamp links initialization complete");
}
let isReinitializing = false;
function showOverlay() {
let overlay = document.getElementById('reinitialization-overlay');
if (!overlay) {
overlay = document.createElement('div');
overlay.id = 'reinitialization-overlay';
overlay.style.position = 'fixed';
overlay.style.top = '0';
overlay.style.left = '0';
overlay.style.width = '100%';
overlay.style.height = '100%';
overlay.style.backgroundColor = 'rgba(0, 0, 0, 0.5)';
overlay.style.display = 'flex';
overlay.style.justifyContent = 'center';
overlay.style.alignItems = 'center';
overlay.style.zIndex = '9999';
const message = document.createElement('div');
message.textContent = 'Loading assets...';
message.style.color = 'white';
message.style.fontSize = '24px';
message.style.fontWeight = 'bold';
overlay.appendChild(message);
document.body.appendChild(overlay);
}
overlay.style.display = 'flex';
}
function hideOverlay() {
const overlay = document.getElementById('reinitialization-overlay');
if (overlay) {
overlay.style.display = 'none';
}
}
function initializeEverything() {
if (isReinitializing) {
//safeLog("Already reinitializing, skipping...");
return;
}
isReinitializing = true;
showOverlay();
//safeLog("Initializing everything...");
try {
initializeFilmstrip();
initializeTimestampLinks();
//safeLog("Initialization complete");
} catch (error) {
//safeLog("Error during initialization: " + error.message);
} finally {
isReinitializing = false;
hideOverlay();
}
}
let lastVideoSelection = null;
function checkVideoSelection() {
const videoList = document.getElementById('video-list');
if (videoList) {
const currentSelection = videoList.querySelector('input:checked');
if (currentSelection && currentSelection.value !== lastVideoSelection) {
//safeLog("Video selection changed, reinitializing...");
lastVideoSelection = currentSelection.value;
showOverlay();
setTimeout(() => {
initializeEverything();
hideOverlay();
}, 1000); // Delay to ensure new video is loaded
}
}
}
// Set up a MutationObserver to watch for changes in the entire document
const contentObserver = new MutationObserver((mutations) => {
mutations.forEach((mutation) => {
if (mutation.type === 'childList' || mutation.type === 'attributes') {
checkVideoSelection();
if (mutation.target.id === 'video-container' ||
mutation.target.id === 'filmstrip-container' ||
mutation.target.id === 'metadata-container') {
//safeLog("Relevant content updated, reinitializing...");
setTimeout(initializeEverything, 100); // Small delay to ensure elements are ready
}
}
});
});
contentObserver.observe(document.body, {
childList: true,
subtree: true,
attributes: true,
attributeFilter: ['value', 'checked']
});
// Function to set up Gradio event listeners
function setupGradioEventListeners() {
if (typeof gradio !== 'undefined') {
//safeLog("Setting up Gradio event listeners...");
gradio('#video-list').change(function(evt) {
//safeLog("Gradio detected video selection change, reinitializing...");
setTimeout(initializeEverything, 1000);
});
} /*else {
safeLog("Gradio not found, using fallback method");
}*/
}
// Periodically check for video selection changes
setInterval(checkVideoSelection, 1000);
// Initialize everything when the DOM is ready
document.addEventListener('DOMContentLoaded', function() {
initializeEverything();
setupGradioEventListeners();
checkVideoSelection();
});
// Also try to initialize after a short delay, in case DOMContentLoaded has already fired
setTimeout(function() {
initializeEverything();
setupGradioEventListeners();
checkVideoSelection();
}, 1000);
})();
</script>
"""
with gr.Blocks(css=css, head=js) as iface:
with gr.Row(elem_id="header"):
with gr.Column(scale=1):
gr.Image("logo.png", elem_id="logo", show_label=False, interactive=False)
gr.Markdown("### Click a title to dive into the data:")
with gr.Column(elem_id="header-content", scale=10):
gr.Markdown("""
# Exploration page
## [🔗 Dataset](https://huggingface.co/datasets/HuggingFaceFV/finevideo)
""")
with gr.Row(elem_id="top-panel"):
with gr.Column(scale=3, elem_id="video-list-column"):
video_list_data = load_video_list()
video_list = gr.Radio(
label="Content Samples",
choices=[video["title"] for video in video_list_data],
elem_id="video-list",
value=None,
container=False
)
with gr.Column(scale=7, elem_id="video-column"):
video_output = gr.HTML(elem_id="video-container")
filmstrip_output = gr.HTML(elem_id="filmstrip-container")
with gr.Row(elem_id="scrollable-content"):
metadata_output = gr.HTML(elem_id="metadata-container")
def wrapped_process_video(title: str) -> tuple:
if not title:
return "", "", ""
video_id = next(video["video_id"] for video in video_list_data if video["title"] == title)
logging.info(f"Processing video with ID: {video_id}")
video_html, filmstrip_html, metadata_html = process_video(video_id)
return video_html, filmstrip_html, metadata_html
video_list.change(
fn=wrapped_process_video,
inputs=[video_list],
outputs=[video_output, filmstrip_output, metadata_output]
)
if __name__ == "__main__":
iface.launch()
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