import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline

model_id = "ajibawa-2023/Young-Children-Storyteller-Mistral-7B"

# Load model and tokenizer (NOTE: This requires GPU for best results)
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")

generator = pipeline("text-generation", model=model, tokenizer=tokenizer)

def generate_story(character_1, character_2, theme, setting, scenario):
    prompt = (
        f"Characters: {character_1}, {character_2}\n"
        f"Theme: {theme}\n"
        f"Setting: {setting}\n"
        f"Scenario: {scenario}\n"
        f"Write a story suitable for children aged 6 to 12:"
    )
    output = generator(prompt, max_new_tokens=300, temperature=0.8)[0]["generated_text"]
    return output[len(prompt):].strip()

demo = gr.Interface(
    fn=generate_story,
    inputs=[
        gr.Textbox(label="Character 1 (e.g. Girl)"),
        gr.Textbox(label="Character 2 (e.g. Wolf)"),
        gr.Textbox(label="Theme (e.g. Bravery)"),
        gr.Textbox(label="Setting (e.g. Rainy Forest)"),
        gr.Textbox(label="Scenario (e.g. A girl saw a wolf coming toward her)")
    ],
    outputs=gr.Textbox(label="📖 Generated Story"),
    title="🧚 Genieverse Story Generator",
    description="Enter your characters, theme, and scenario to generate a magical story for kids!"
)

demo.launch()