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

def img2text(url):
    image_to_text_model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
    text = image_to_text_model(url)[0]["generated_text"]
    return text

# text2story
def text2story(text):
    # 添加 trust_remote_code=True 参数
    story_generator = pipeline("text-generation", model="facebook/opt-125m", trust_remote_code=True)
    # 增大 max_length 并设置 min_length
    story = story_generator(text, num_return_sequences=1, max_length=300, min_length=150, 
                            temperature=0.7, top_k=50, top_p=0.9, no_repeat_ngram_size=2)[0]["generated_text"]
    # 截取前 100 词左右的内容，如果想保留完整生成内容可注释掉下面两行
    # words = story.split()
    # story = " ".join(words[:100])
    return story

# text2audio using gTTS
def text2audio(story_text):
    # 创建 gTTS 对象
    tts = gTTS(text=story_text, lang='en')
    # 保存音频文件
    audio_file_path = "story_audio.mp3"
    tts.save(audio_file_path)
    return audio_file_path

st.set_page_config(page_title="Your Image to Audio Story",
                   page_icon="🦜")
st.header("Turn Your Image to Audio Story")
uploaded_file = st.file_uploader("Select an Image...")

if uploaded_file is not None:
    bytes_data = uploaded_file.getvalue()
    with open(uploaded_file.name, "wb") as file:
        file.write(bytes_data)
    st.image(uploaded_file, caption="Uploaded Image", use_column_width=True)

    # Stage 1: Image to Text
    st.text('Processing img2text...')
    scenario = img2text(uploaded_file.name)
    st.write(scenario)

    # Stage 2: Text to Story
    st.text('Generating a story...')
    story = text2story(scenario)
    st.write(story)

    # Stage 3: Story to Audio data
    st.text('Generating audio data...')
    audio_file_path = text2audio(story)

    # Play button
    if st.button("Play Audio"):
        audio_file = open(audio_file_path, "rb")
        audio_bytes = audio_file.read()
        st.audio(audio_bytes, format="audio/mp3")
        audio_file.close()
        # 删除临时音频文件
        os.remove(audio_file_path)