app.py

import streamlit as st
from PIL import Image
from transformers import pipeline
from gtts import gTTS
import os

# 加载 Hugging Face 模型
image_to_text_model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
story_generator = pipeline("text-generation", model="facebook/opt-1.3b")

# 图片 → 文字（生成描述）
def img2text(image_path):
    text = image_to_text_model(image_path)[0]["generated_text"]
    return text

# 文字 → 故事（生成完整故事）
def text2story(text):
    prompt = f"Write a fun and magical children's story based on this idea: {text}.\n\nOnce upon a time..."
    story = story_generator(prompt, max_length=250, do_sample=True, temperature=0.8, top_p=0.9, repetition_penalty=1.2, truncation=True)[0]['generated_text']
    return story

# 故事 → 语音（TTS）
def text2audio_gtts(story_text, filename="story.mp3"):
    if os.path.exists(filename):
        os.remove(filename)

    story_text = story_text[:500]  # 限制 TTS 文本长度
    tts = gTTS(text=story_text, lang="en")
    tts.save(filename)
    return filename

# Streamlit Web UI
st.set_page_config(page_title="AI Storyteller", page_icon="📖")
st.header("📖 AI Storyteller: Turn Your Image into a Story with Audio")

uploaded_file = st.file_uploader("Upload an Image...", type=["jpg", "png"])

if uploaded_file:
    image_path = "uploaded_image.jpg"
    with open(image_path, "wb") as f:
        f.write(uploaded_file.getbuffer())

    image = Image.open(image_path)
    st.image(image, caption="Uploaded Image", use_column_width=True)

    st.text("🔍 Generating image caption...")
    caption = img2text(image_path)
    st.write("**Image Description:**", caption)

    st.text("📝 Generating story...")
    story = text2story(caption)
    st.write("**Generated Story:**")
    st.write(story)

    st.text("🔊 Generating audio...")
    audio_file = text2audio_gtts(story)

    st.audio(audio_file, format="audio/mp3")

    with open(audio_file, "rb") as file:
        st.download_button("📥 Download Audio", file, file_name="story.mp3")