Update app.py
Browse files
app.py
CHANGED
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@@ -26,28 +26,221 @@ except Exception as e:
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def clean_caption(text):
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"""Clean and format the generated caption"""
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# Remove the prompt part
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lines = text.split('\n')
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caption_lines = []
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-
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for line in lines:
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line = line.strip()
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if line and not line.startswith('Photo:') and not line.startswith('Caption:'):
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return ""
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def generate_instagram_caption(description):
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def clean_caption(text):
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"""Clean and format the generated caption"""
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# Remove the prompt part and get first line
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lines = text.split('\n')
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for line in lines:
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line = line.strip()
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if line and not line.startswith('Photo:') and not line.startswith('Caption:'):
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# Remove extra quotes
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caption = re.sub(r'^["\']|["\']
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def generate_instagram_caption(description):
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"""Generate 5 clever Instagram-style captions based on the photo description"""
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if not description.strip():
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return "Please enter a description of your photo!"
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+
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# Set a random seed for variety
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set_seed(random.randint(1, 10000))
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# Create multiple clever Instagram-style prompts
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prompt_templates = [
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f"Photo: {description}\nWitty Instagram caption: Just",
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f"Photo: {description}\nClever Instagram caption: When",
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f"Photo: {description}\nFunny Instagram caption: Living",
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f"Photo: {description}\nSassy Instagram caption: Feeling",
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f"Photo: {description}\nCute Instagram caption: Making",
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f"Photo: {description}\nInspiring Instagram caption: Chasing",
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f"Photo: {description}\nCool Instagram caption: Caught",
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f"Photo: {description}\nRelatable Instagram caption: That",
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f"Photo: {description}\nTrendy Instagram caption: Current",
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f"Photo: {description}\nPlayful Instagram caption: Plot"
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]
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captions = []
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# Generate 5 different captions
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for i in range(5):
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# Use different prompts for variety
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prompt = random.choice(prompt_templates)
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try:
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generated = generator(
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prompt,
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max_length=len(prompt.split()) + 15, # Keep it very short
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num_return_sequences=1,
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temperature=0.9,
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do_sample=True,
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top_p=0.95,
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repetition_penalty=1.2,
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pad_token_id=50256
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)
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full_text = generated[0]['generated_text']
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caption = clean_caption(full_text.replace(prompt, "").strip())
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if caption and len(caption) > 10: # Make sure it's substantial
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captions.append(caption)
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except Exception as e:
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print(f"Generation error: {e}")
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continue
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# Fill with clever fallback captions if we don't have enough
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clever_fallbacks = [
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f"β¨ {description} kind of day β¨",
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f"Plot twist: {description} was exactly what I needed",
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f"Current mood: {description} energy",
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f"Just me living my {description} dreams",
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f"When life gives you {description}, make memories",
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f"Serving {description} realness",
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f"That {description} life chose me",
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f"POV: You're living for {description} moments",
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f"Main character energy: {description} edition",
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f"No caption needed, just {description} vibes",
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f"Caught in 4K living my {description} fantasy",
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f"This is what {description} happiness looks like",
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f"Manifesting more {description} energy",
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f"When the {description} hits different",
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f"Today's agenda: {description} and good vibes",
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f"Reminder: {description} days are the best days",
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f"Living proof that {description} is everything",
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f"My {description} era is here to stay",
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f"Just another {description} adventure",
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f"Grateful for {description} moments like these"
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]
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# Add fallbacks if we need more captions
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while len(captions) < 5:
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fallback = random.choice(clever_fallbacks)
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if fallback not in captions:
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captions.append(fallback)
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# Return top 5 captions
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final_captions = captions[:5]
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# Format as numbered list
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result = ""
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for i, caption in enumerate(final_captions, 1):
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result += f"{i}. {caption}\n"
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return result.strip()
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# Create the Gradio interface
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with gr.Blocks(
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theme=gr.themes.Soft(),
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css="""
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.main-header {
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text-align: center;
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background: linear-gradient(45deg, #ff6b6b, #4ecdc4, #45b7d1);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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font-size: 2.5em;
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font-weight: bold;
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margin-bottom: 0.5em;
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}
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.subtitle {
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text-align: center;
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color: #666;
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font-size: 1.1em;
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margin-bottom: 2em;
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}
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.generate-btn {
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background: linear-gradient(45deg, #ff6b6b, #4ecdc4) !important;
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border: none !important;
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color: white !important;
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font-weight: bold !important;
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font-size: 1.1em !important;
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padding: 12px 24px !important;
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border-radius: 25px !important;
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transition: all 0.3s ease !important;
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}
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.generate-btn:hover {
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transform: translateY(-2px) !important;
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box-shadow: 0 5px 15px rgba(0,0,0,0.2) !important;
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}
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"""
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) as demo:
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gr.HTML('<h1 class="main-header">πΈ Instacap β AI Instagram Caption Generator</h1>')
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gr.HTML('<p class="subtitle">Transform your photo descriptions into engaging Instagram captions!</p>')
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with gr.Row():
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with gr.Column(scale=1):
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description_input = gr.Textbox(
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label="Describe your photo",
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placeholder="E.g., sunset beach picnic, cozy vibe",
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lines=3,
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max_lines=5
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)
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generate_btn = gr.Button(
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"Generate Caption β¨",
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variant="primary",
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elem_classes="generate-btn"
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)
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with gr.Column(scale=1):
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caption_output = gr.Textbox(
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label="Your 5 Instagram Caption Options",
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lines=8,
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max_lines=10,
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interactive=False,
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show_copy_button=True
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)
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# Add some example inputs
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gr.Examples(
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examples=[
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["sunset beach picnic, cozy vibe"],
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["coffee shop laptop work, productive morning"],
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["hiking mountain trail, adventure time"],
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["cozy rainy day reading, warm blanket"],
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["friends dinner party, laughter and good food"],
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["morning yoga session, peaceful zen"],
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["city skyline night view, urban lights"],
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["homemade cooking, delicious comfort food"]
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],
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inputs=description_input,
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outputs=caption_output,
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fn=generate_instagram_caption,
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cache_examples=False
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)
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# Connect the button to the function
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generate_btn.click(
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fn=generate_instagram_caption,
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inputs=description_input,
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outputs=caption_output
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)
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# Also trigger on Enter key
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description_input.submit(
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fn=generate_instagram_caption,
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inputs=description_input,
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outputs=caption_output
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)
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gr.HTML(
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"""
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<div style="text-align: center; margin-top: 2em; color: #888; font-size: 0.9em;">
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<p>π‘ Tip: Be specific with your descriptions for better captions!</p>
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<p>π¨ Get 5 unique one-liner captions each time you generate</p>
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<p>π Copy your favorite caption and paste it on Instagram!</p>
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</div>
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"""
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)
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# Launch the app
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if __name__ == "__main__":
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demo.launch(), '', line)
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# Keep it short - cut at first sentence if too long
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if len(caption) > 80:
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sentences = re.split(r'[.!?]', caption)
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if sentences[0]:
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caption = sentences[0].strip()
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if caption and caption[-1] not in '.!?':
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caption += '.'
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return caption
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return ""
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def generate_instagram_caption(description):
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