Update app.py

app.py

@@ -2,57 +2,72 @@ 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="🦜")
 
-# Load models once
-caption_pipeline = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
-story_pipeline = pipeline("text-generation", model="Qwen/Qwen2-1.5B")
-
 def extract_image_caption(image_data):
-    img_obj = Image.open(image_data)
-    caption_results = caption_pipeline(img_obj)
-    return caption_results[0]['generated_text']
+"""
+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):
-    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']
-    return story_text.split("Story:", 1)[1].strip() if "Story:" in story_text else story_text.strip()
+"""
+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"):
-    tts_engine = gTTS(text=text_content, lang="en")
-    tts_engine.save(audio_path)
-    return audio_path
+"""
+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!")
+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)
     
-    uploaded_image = st.file_uploader("Select an Image", type=["png", "jpg", "jpeg"])
+    with st.spinner("Generating caption for the image..."):
+        caption_text = extract_image_caption(uploaded_image)
+    st.write("**Generated Caption:**", caption_text)
     
-    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()
+    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")