app.py

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

# function part
# img2text
def img2text(url):
    try:
        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
    except Exception as e:
        st.error(f"图像转文本出错: {e}")
        return None

# text2story
def text2story(text):
    try:
        story_generator = pipeline("text-generation", model="Qwen/QwQ-32B-Preview")
        # 生成故事文本
        result = story_generator(text, max_length=200, num_return_sequences=1)
        story = result[0]['generated_text']
        return story
    except Exception as e:
        st.error(f"文本生成故事出错: {e}")
        return None

# text2audio
def text2audio(story_text):
    try:
        # 创建 gTTS 对象，将文本转换为语音
        tts = gTTS(text=story_text, lang='en')
        # 创建字节流对象用于存储音频数据
        audio_file = io.BytesIO()
        # 将音频数据写入字节流
        tts.write_to_fp(audio_file)
        # 移动文件指针到开头
        audio_file.seek(0)
        return audio_file
    except Exception as e:
        st.error(f"文本转音频出错: {e}")
        return None

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:
    # 使用临时文件存储上传的图像
    temp_file_path = "temp_image.jpg"
    bytes_data = uploaded_file.getvalue()
    with open(temp_file_path, "wb") as file:
        file.write(bytes_data)

    # 显示上传的图像，使用 use_container_width 避免弃用警告
    st.image(uploaded_file, caption="Uploaded Image", use_container_width=True)

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

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

            # Stage 3: Story to Audio data
            st.text('Generating audio data...')
            audio_data = text2audio(story)
            if audio_data:
                # Play button
                if st.button("Play Audio"):
                    st.audio(audio_data, format="audio/mpeg", start_time=0)

    # 删除临时文件
    if os.path.exists(temp_file_path):
        os.remove(temp_file_path)