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

st.set_page_config(page_title="Image to Audio Story", page_icon="🦜")


def extract_image_caption(image_data):
    """
    利用预训练模型从图像中提取描述性文字。
    """
    img_obj = Image.open(image_data)
    caption_pipeline = pipeline(
        "image-to-text",
        model="Salesforce/blip-image-captioning-base",
    )
    caption_results = caption_pipeline(img_obj)
    caption_text = caption_results[0]['generated_text']
    return caption_text


def compose_story_from_caption(caption_detail):
    """
    根据图像描述创作一篇充满创意的儿童故事。
    """
    story_pipeline = pipeline(
        "text-generation",
        model="Qwen/Qwen2-1.5B",
    )
    prompt_text = (
        "You are a creative children's story writer. Based on the following image details, "
        "please write an imaginative story for children aged 3-10. Do not simply rephrase the image details; "
        "instead, expand creatively by adding fun characters, adventures, and unexpected twists. "
        "The story must be at least 100 words long.\n\n"
        f"Image Details: {caption_detail}\n\nStory:"
    )
    story_results = story_pipeline(prompt_text, max_length=300, num_return_sequences=1)
    story_text = story_results[0]['generated_text']
    return story_text


def convert_text_to_audio(text_content, audio_path="output.mp3"):
    """
    将文本转换为音频文件。
    """
    tts_engine = gTTS(text=text_content, lang="en")
    tts_engine.save(audio_path)
    return audio_path


def run_app():
    st.markdown("<h1 style='text-align: center;'>Your Image to Audio Story 🦜</h1>", unsafe_allow_html=True)
    st.write("Upload an image below and we will generate an engaging story from the picture, then convert the story into an audio playback!")
    
    uploaded_image = st.file_uploader("Select an Image", type=["png", "jpg", "jpeg"])
    
    if uploaded_image is not None:
        image_display = Image.open(uploaded_image)
        st.image(image_display, caption="Uploaded Image", use_container_width=True)
        
        with st.spinner("Generating caption for the image..."):
            caption_text = extract_image_caption(uploaded_image)
        st.write("**Generated Caption:**", caption_text)
        
        with st.spinner("Composing story..."):
            story_text = compose_story_from_caption(caption_text)
        st.write("**Story:**")
        st.write(story_text)
        
        with st.spinner("Converting text to audio..."):
            audio_file = convert_text_to_audio(story_text)
        st.audio(audio_file, format="audio/mp3")


if __name__ == "__main__":
    run_app()