app.py

import os
import time
import streamlit as st
from PIL import Image
from transformers import pipeline
from gtts import gTTS
import tempfile
from llama_cpp import Llama

# First install required package:
# pip install llama-cpp-python

# —––––––– Page Setup —–––––––
st.set_page_config(page_title="Magic Story Generator", layout="centered")
st.title("📖✨ Turn Images into Children's Stories")

# —––––––– Load Models (cached) —–––––––
@st.cache_resource(show_spinner=False)
def load_models():
    # 1) Image captioning model
    captioner = pipeline(
        "image-to-text",
        model="Salesforce/blip-image-captioning-base"
    )
    
    # 2) GGUF Story Model
    storyteller = Llama(
        model_path="DavidAU/L3-Grand-Story-Darkness-MOE-4X8-24.9B-e32-GGUF",
        n_ctx=2048,
        n_threads=4,
        n_gpu_layers=0  # Set based on your GPU capacity
    )
    return captioner, storyteller

captioner, storyteller = load_models()

# —––––––– Main App —–––––––
uploaded = st.file_uploader("Upload an image:", type=["jpg", "png", "jpeg"])
if uploaded:
    img = Image.open(uploaded).convert("RGB")
    st.image(img, use_column_width=True)

    # Generate caption
    with st.spinner("🔍 Generating caption..."):
        cap = captioner(img)
        caption = cap[0]['generated_text']
    st.success(f"**Caption:** {caption}")

    # Generate story
    prompt = f"""Below is an image description. Write a children's story based on it.
    
    Image Description: {caption}
    Story:"""
    
    with st.spinner("📝 Crafting magical story..."):
        start = time.time()
        output = storyteller(
            prompt=prompt,
            max_tokens=500,
            temperature=0.7,
            top_p=0.9,
            repeat_penalty=1.1
        )
        gen_time = time.time() - start
        story = output['choices'][0]['text'].strip()
        st.text(f"⏱ Generated in {gen_time:.1f}s")

    # Post-process story
    story = story.split("###")[0].strip()  # Remove any trailing artifacts
    
    # Display story
    st.subheader("📚 Your Magical Story")
    st.write(story)

    # Audio conversion
    with st.spinner("🔊 Converting to audio..."):
        try:
            tts = gTTS(text=story, lang="en", slow=False)
            with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp:
                tts.save(tmp.name)
                st.audio(tmp.name, format="audio/mp3")
        except Exception as e:
            st.warning(f"⚠️ Audio conversion failed: {str(e)}")

# Footer
st.markdown("---\n*Made with ❤️ by your friendly story wizard*")