Create app.py

app.py

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+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()