app.py

import streamlit as st
from transformers import pipeline

# function part
# img2text
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):
    text_to_story = pipeline("text-generation", model="isarth/distill_gpt2_story_generator",
                            max_length=300,  # 增加最大生成长度
                            min_length=100,  # 设置最小生成长度
                            do_sample=True,  # 启用随机采样
                            temperature=0.9,  # 控制随机性（0-1，越大越随机）
                            top_k=50,  # 限制候选词数量
                            top_p=0.95,  # 核采样参数
                            repetition_penalty=1.2)
    # story_text = ""   # to be completed
    story_text = text_to_story(text)[0]["generated_text"]
    return story_text

# text2audio
def text2audio(story_text):
    text_to_audio = pipeline("text-to-speech", model="facebook/mms-tts-eng")
    audio_data = text_to_audio(story_text)
    return audio_data
    
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:
    print(uploaded_file)
    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_data =text2audio(story)

    # Play button
    if st.button("Play Audio"):
        st.audio(audio_data['audio'],
                   format="audio/wav",
                   start_time=0,
                   sample_rate = audio_data['sampling_rate'])
    #     # st.audio("kids_playing_audio.wav")