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| import gradio as gr | |
| from transformers import pipeline | |
| # Load the text generation pipeline | |
| generator = pipeline("text-generation", model="gpt2", device=-1) | |
| # Local generation function (no API) | |
| def generate_text(category, theme, tone, length): | |
| # Fallback defaults | |
| category = category or "story" | |
| tone = tone or "neutral" | |
| length = length or "short" | |
| theme = theme.strip() or "an interesting idea" | |
| # Determine length in tokens | |
| length_map = { | |
| "short": 100, | |
| "medium": 200, | |
| "long": 300 | |
| } | |
| max_length = length_map.get(length.lower(), 50) | |
| # Build prompt | |
| prompt = ( | |
| #f"Write a {length.lower()} {tone.lower()} {category.lower()} about {theme}." | |
| f"Write a {length.lower()} and {tone.lower()} {category.lower()} titled '{theme}'. It should have a beginning, middle, and end. Use vivid, imaginative language." | |
| f"'The {theme.title()}'. Write it in a creative and expressive style.\n\n" | |
| ) | |
| # add specific instruction based on category | |
| if category.lower() == "poem": | |
| prompt += "Make sure it's in poetic form, with vivid imagery and emotion." | |
| elif category.lower() == "story": | |
| prompt += "Start with an engaging opening, include a conflict, and resolve it clearly." | |
| #line break for clarify | |
| prompt +="\n\n" | |
| try: | |
| result = generator(prompt, max_length=max_length, num_return_sequences=1) | |
| return result[0]["generated_text"] | |
| except Exception as e: | |
| return f"❌ Exception: {str(e)}" | |
| # Create Gradio UI | |
| with gr.Blocks() as demo: | |
| gr.Markdown("## ✨🧚✨ Story Spark Generator (Local ) ✨🧚✨") | |
| category = gr.Dropdown(["Story", "Poem"], label="Category") | |
| theme = gr.Textbox(label="Theme", placeholder="e.g. friendship, time travel, lost love") | |
| tone = gr.Dropdown(["Happy", "Sad", "Funny", "Dark", "Inspiring"], label="Tone") | |
| length = gr.Dropdown(["Short", "Medium", "Long"], label="Length") | |
| generate_button = gr.Button("Generate") | |
| output = gr.Textbox(label="Generated Content", lines=10) | |
| generate_button.click(fn=generate_text, | |
| inputs=[category, theme, tone, length], | |
| outputs=output) | |
| demo.launch() | |