DeckMorpher.AI

from fastapi import File, UploadFile
import pdfplumber, pptx

async def parse_pptx(file: UploadFile):
    prs = pptx.Presentation(file)
    slides = []
    for slide in prs.slides:
        slide_data = {
            "text": "\n".join([shape.text for shape in slide.shapes if hasattr(shape, "text")]),
            "notes": slide.notes_slide.notes_text if slide.notes_slide else "",
            "layout": str(slide.slide_layout.name)
        }
        slides.append(slide_data)
    return {"slides": slides}

def generate_sora_prompt(slide_data):
    prompt_template = f"""
    Cinematic 35mm shot, {slide_data['tone']} tone,
    featuring {slide_data['main_topic']} symbolism,
    {slide_data['style']} style, atmospheric lighting,
    inspired by {slide_data['visual_reference']}
    """
    
    return {
        "prompt": prompt_template,
        "camera": "slow dolly zoom",
        "lighting": "backlit with lens flares",
        "style": "ultra-realistic cinematic"
    }