| import streamlit as st | |
| from PIL import Image | |
| from transformers import pipeline | |
| from gtts import gTTS | |
| 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 talented and imaginative storyteller for children aged 3 to 10. " | |
| "Using the details derived from the image below, craft a captivating tale that goes beyond merely describing the scene. " | |
| "Let your creativity shine by introducing engaging characters, adventurous journeys, and delightful surprises. " | |
| "Your story should be vivid, original, and between 100 and 300 words in length.\n\n" | |
| f"Image Details: {caption_detail}\n\nStory:" | |
| ) | |
| story_results = story_pipeline(prompt_text, num_return_sequences=1) | |
| story_text = story_results[0]['generated_text'] | |
| if "Story:" in story_text: | |
| story = story_text.split("Story:", 1)[1].strip() | |
| else: | |
| story = story_text.strip() | |
| return story | |
| 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() |