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Update app.py
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app.py
CHANGED
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@@ -12,64 +12,53 @@ import json
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import pandas as pd
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from pathlib import Path
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from gradio_client import Client
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import hashlib
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warnings.filterwarnings('ignore')
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# Initialize story starters
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STORY_STARTERS = [
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['Adventure', 'In a hidden temple deep in the Amazon...'],
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['Mystery', 'The detective found an unusual note...'],
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['Romance', 'Two strangers meet on a rainy evening...'],
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['Sci-Fi', 'The space station received an unexpected signal...'],
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['Fantasy', 'A magical portal appeared in the garden...']
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]
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# Initialize client outside of interface definition
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arxiv_client = None
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def
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safe_name = re.sub(r'[^\w\s-]', '', first_line)
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safe_name = re.sub(r'[-\s]+', '-', safe_name).strip('-')
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# Truncate to max length while keeping words intact
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if len(safe_name) > max_length:
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safe_name = safe_name[:max_length].rsplit('-', 1)[0]
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return safe_name.lower()
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def generate_unique_filename(base_name, timestamp, extension):
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"""Generate a unique filename with timestamp and hash"""
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# Create a hash of the base name to ensure uniqueness
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name_hash = hashlib.md5(base_name.encode()).hexdigest()[:6]
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return f"{timestamp}_{base_name}_{name_hash}{extension}"
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def save_story(story, audio_path):
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"""Save story and audio to gallery with
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try:
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# Create gallery directory if it doesn't exist
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gallery_dir = Path("gallery")
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gallery_dir.mkdir(exist_ok=True)
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# Generate timestamp and
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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# Generate unique filenames
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story_filename = generate_unique_filename(safe_name, timestamp, ".md")
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audio_filename = generate_unique_filename(safe_name, timestamp, ".mp3")
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# Save story text as markdown
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story_path = gallery_dir /
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with open(story_path, "w") as f:
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f.write(f"# {
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# Copy audio file to gallery with
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new_audio_path = None
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if audio_path:
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new_audio_path = gallery_dir /
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os.system(f"cp {audio_path} {str(new_audio_path)}")
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return str(story_path), str(new_audio_path) if new_audio_path else None
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@@ -77,48 +66,35 @@ def save_story(story, audio_path):
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print(f"Error saving to gallery: {str(e)}")
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return None, None
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def format_gallery_entry(timestamp, preview, story_path, audio_path):
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"""Format gallery entry as markdown with audio controls"""
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story_link = f"[{preview}]({story_path})"
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if audio_path:
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audio_html = f'<audio controls><source src="{audio_path}" type="audio/mp3">Your browser does not support the audio element.</audio>'
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return f"{timestamp}: {story_link}\n{audio_html}"
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return f"{timestamp}: {story_link}"
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def load_gallery():
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"""Load all stories and audio from gallery with markdown
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try:
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gallery_dir = Path("gallery")
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if not gallery_dir.exists():
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return []
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files = []
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for story_file in sorted(gallery_dir.glob("*.md"), reverse=True):
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# Extract timestamp from filename
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# Read story content
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with open(story_file) as f:
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story_text = f.read()
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# Extract preview from content (skip markdown header)
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preview = story_text.split('\n\n', 1)[1][:100] + "..."
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# Find matching audio file
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#
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preview
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str(audio_file) if audio_file.exists() else None
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)
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files.append([
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timestamp,
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str(story_file),
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str(audio_file) if audio_file
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])
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return files
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@@ -126,7 +102,7 @@ def load_gallery():
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print(f"Error loading gallery: {str(e)}")
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return []
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#
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def generate_story(prompt, model_choice):
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"""Generate story using specified model"""
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try:
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@@ -174,7 +150,19 @@ def process_story_and_audio(prompt, model_choice):
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except Exception as e:
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return f"Error: {str(e)}", None, None
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with gr.Blocks(title="AI Story Generator") as demo:
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gr.Markdown("""
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# ๐ญ AI Story Generator & Narrator
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interactive=False
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)
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gr.Markdown("### ๐ฌ
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gallery = gr.
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return "<p>No stories in gallery yet.</p>"
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return "<br>".join(entry[1] for entry in gallery_entries)
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demo.load(update_gallery, outputs=[gallery])
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# Event handlers
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def update_prompt(evt: gr.SelectData):
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inputs=[prompt_input, model_choice],
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outputs=[story_output, audio_output, gallery]
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)
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if __name__ == "__main__":
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demo.launch()
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import pandas as pd
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from pathlib import Path
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from gradio_client import Client
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warnings.filterwarnings('ignore')
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# Initialize story starters with added comedy section
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STORY_STARTERS = [
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['Adventure', 'In a hidden temple deep in the Amazon...'],
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['Mystery', 'The detective found an unusual note...'],
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['Romance', 'Two strangers meet on a rainy evening...'],
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['Sci-Fi', 'The space station received an unexpected signal...'],
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['Fantasy', 'A magical portal appeared in the garden...'],
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['Comedy-Sitcom', 'The new roommate arrived with seven emotional support animals...'],
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['Comedy-Workplace', 'The office printer started sending mysterious messages...'],
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['Comedy-Family', 'Grandma decided to become a social media influencer...'],
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['Comedy-Supernatural', 'The ghost haunting the house was absolutely terrible at scaring people...'],
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['Comedy-Travel', 'The GPS insisted on giving directions in interpretive dance descriptions...']
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]
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# Initialize client outside of interface definition
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arxiv_client = None
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def init_client():
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global arxiv_client
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if arxiv_client is None:
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arxiv_client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
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return arxiv_client
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def save_story(story, audio_path):
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"""Save story and audio to gallery with markdown formatting"""
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try:
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# Create gallery directory if it doesn't exist
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gallery_dir = Path("gallery")
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gallery_dir.mkdir(exist_ok=True)
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# Generate timestamp and sanitize first line for filename
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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first_line = story.split('\n')[0].strip()
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safe_name = re.sub(r'[^\w\s-]', '', first_line)[:50] # First 50 chars, sanitized
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# Save story text as markdown
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story_path = gallery_dir / f"story_{timestamp}_{safe_name}.md"
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with open(story_path, "w") as f:
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f.write(f"# {first_line}\n\n{story}")
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# Copy audio file to gallery with matching name
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new_audio_path = None
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if audio_path:
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new_audio_path = gallery_dir / f"audio_{timestamp}_{safe_name}.mp3"
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os.system(f"cp {audio_path} {str(new_audio_path)}")
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return str(story_path), str(new_audio_path) if new_audio_path else None
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print(f"Error saving to gallery: {str(e)}")
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return None, None
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def load_gallery():
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"""Load all stories and audio from gallery with markdown support"""
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try:
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gallery_dir = Path("gallery")
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if not gallery_dir.exists():
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return []
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files = []
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for story_file in sorted(gallery_dir.glob("story_*.md"), reverse=True):
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# Extract timestamp and name from filename
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parts = story_file.stem.split('_', 2)
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timestamp = f"{parts[1]}"
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# Find matching audio file
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audio_pattern = f"audio_{timestamp}_*.mp3"
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audio_files = list(gallery_dir.glob(audio_pattern))
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audio_file = audio_files[0] if audio_files else None
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# Read story content and get preview
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with open(story_file) as f:
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content = f.read()
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# Skip markdown header and get preview
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preview = content.split('\n\n', 1)[1][:100] + "..."
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files.append([
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timestamp,
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f"[{preview}]({str(story_file)})", # Markdown link to story
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str(story_file),
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str(audio_file) if audio_file else None
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])
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return files
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print(f"Error loading gallery: {str(e)}")
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return []
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# Keep all other functions unchanged
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def generate_story(prompt, model_choice):
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"""Generate story using specified model"""
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try:
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except Exception as e:
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return f"Error: {str(e)}", None, None
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def play_gallery_audio(evt: gr.SelectData, gallery_data):
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"""Play audio from gallery selection"""
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try:
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selected_row = gallery_data[evt.index[0]]
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audio_path = selected_row[3] # Audio path is the fourth element
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if audio_path and os.path.exists(audio_path):
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return audio_path
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return None
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except Exception as e:
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print(f"Error playing gallery audio: {str(e)}")
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return None
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# Create the Gradio interface (keep unchanged)
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with gr.Blocks(title="AI Story Generator") as demo:
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gr.Markdown("""
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# ๐ญ AI Story Generator & Narrator
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interactive=False
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)
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gr.Markdown("### ๐ฌ Gallery")
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gallery = gr.Dataframe(
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value=load_gallery(),
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headers=["Timestamp", "Preview", "Story Path", "Audio Path"],
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interactive=False
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)
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# Event handlers
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def update_prompt(evt: gr.SelectData):
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inputs=[prompt_input, model_choice],
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outputs=[story_output, audio_output, gallery]
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)
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gallery.select(
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fn=play_gallery_audio,
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inputs=[gallery],
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outputs=[audio_output]
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)
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if __name__ == "__main__":
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demo.launch()
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