app.py

import streamlit as st
from PIL import Image
from io import BytesIO
from huggingface_hub import InferenceApi
from gtts import gTTS
import requests
import tempfile

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

# —––––––– Clients (cached) —–––––––
@st.cache_resource
def load_clients():
    hf_token = st.secrets["HF_TOKEN"]
    return (
        InferenceApi("Salesforce/blip-image-captioning-base", token=hf_token),
        hf_token  # we'll use direct requests for story generation
    )

caption_client, hf_token = load_clients()

# —––––––– Helper: Generate Caption —–––––––
def generate_caption(img):
    img_bytes = BytesIO()
    img.save(img_bytes, format="JPEG")
    try:
        result = caption_client(data=img_bytes.getvalue())
        if isinstance(result, list) and result:
            return result[0].get("generated_text", "").strip()
    except Exception as e:
        st.error(f"Caption generation error: {type(e).__name__}: {e}")
    return ""

# —––––––– Helper: Process Image —–––––––
def process_image(uploaded_file):
    try:
        img = Image.open(uploaded_file).convert("RGB")
        if max(img.size) > 2048:
            img.thumbnail((2048, 2048))
        return img
    except Exception as e:
        st.error(f"Image processing error: {type(e).__name__}: {e}")
        st.stop()

# —––––––– Helper: Generate Story via HTTP —–––––––
def generate_story(prompt: str) -> str:
    api_url = "https://api-inference.huggingface.co/models/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"
    headers = {"Authorization": f"Bearer {hf_token}"}
    payload = {
        "inputs": prompt,
        "parameters": {
            "max_new_tokens":       200,
            "temperature":          0.8,
            "top_p":                0.95,
            "repetition_penalty":   1.15,
            "do_sample":            True,
            "no_repeat_ngram_size": 2
        }
    }
    try:
        resp = requests.post(api_url, headers=headers, json=payload, timeout=30)
    except Exception as e:
        st.error(f"🚨 Story magic failed: {type(e).__name__}: {e}")
        st.stop()
    if resp.status_code != 200:
        st.error(f"🚨 Story magic failed: HTTP {resp.status_code} - {resp.text}")
        st.stop()
    data = resp.json()
    # Expecting list of generations
    if isinstance(data, list) and data:
        text = data[0].get("generated_text", "").strip()
        # extract after "Story:" if present
        story = text.split("Story:")[-1].strip()
        if "." in story:
            story = story.rsplit(".", 1)[0] + "."
        return story
    st.error("🚨 Story magic failed: invalid response format")
    st.stop()

# —––––––– Main App Flow —–––––––
uploaded = st.file_uploader("Upload an image:", type=["jpg", "png", "jpeg"])
if uploaded:
    img = process_image(uploaded)
    st.image(img, use_container_width=True)

    # Caption
    with st.spinner("🔍 Discovering image secrets..."):
        caption = generate_caption(img)
        if not caption:
            st.error("😢 Couldn't understand this image. Try another one!")
            st.stop()
    st.success(f"**Caption:** {caption}")

    # Prepare Prompt
    story_prompt = (
        f"Image description: {caption}\n\n"
        "Write a 50-100 word children's story that:\n"
        "1. Features the main subject as a friendly character\n"
        "2. Includes a simple adventure or discovery\n"
        "3. Ends with a happy or funny conclusion\n"
        "4. Uses simple language for ages 3-8\n\n"
        "Story:\n"
    )

    # Generate Story
    with st.spinner("📝 Writing magical story..."):
        story = generate_story(story_prompt)

    # Display Story
    st.subheader("📚 Your Magical Story")
    st.write(story)

    # Audio Conversion
    with st.spinner("🔊 Adding story voice..."):
        try:
            tts = gTTS(text=story, lang="en", slow=False)
            with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as fp:
                tts.save(fp.name)
                st.audio(fp.name, format="audio/mp3")
        except Exception as e:
            st.warning(f"⚠️ Couldn't make audio version: {type(e).__name__}: {e}")

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