#Image to story generator
import gradio as gr
from transformers import BlipProcessor, BlipForConditionalGeneration
from PIL import Image

# load BLIP model from Hugging Face
processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")

def generate_story(image):
    # get the caption first
    inputs = processor(images=image, return_tensors="pt")
    out = model.generate(**inputs)
    caption = processor.decode(out[0], skip_special_tokens=True)

    # turn the caption into a story
    story = f"Once upon a time, {caption.lower()} lived happily in a magical world full of adventures."
    return story

demo = gr.Interface(
    fn=generate_story,
    inputs=gr.Image(type="pil"),
    outputs="text",
    title="🖼️ Image to Story Generator",
    description="Upload any image, and I will write you a short story about it!"
)

demo.launch()