Delete app.py

app.py

@@ -1,82 +0,0 @@
-# Import Part
-import streamlit as st
-from PIL import Image
-import time
-import numpy as np 
-import tensorflow as tf
-from transformers import pipeline
-import tempfile
-import os
-
-from transformers import pipeline
-
-# Generates a caption for the given image using a pre-trained model
-def image_to_caption(image_path):
-    imgtocaption = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
-    caption = imgtocaption(image_path)[0]['generated_text']
-    return caption
-
-# Generates a story for the caption using a pre-trained model
-def caption_to_story(text):
-    captiontostory = pipeline("text-generation", model="pranavpsv/genre-story-generator-v2")
-    story = captiontostory(text, max_length=150, min_length=50)[0]['generated_text']
-    return story
-
-# Generates an audio for the story
-def story_to_audio(text):
-    """Converts story to audio"""
-    storytoaudio = pipeline("text-to-audio", model="facebook/mms-tts-eng")
-    audio_output = storytoaudio(text[:1000])
-    return audio_output['audio'], audio_output['sampling_rate']
-
-
-# Child-Friendly Interface Design
-st.set_page_config(page_title="Magic Story House", page_icon="🧚")
-st.title("🧚 Magic Image Story Generator")
-st.markdown("Upload an image and generate your exclusive fairy tale!")
-
-# File Upload
-uploaded_image = st.file_uploader("Choose a picture", type=["jpg", "jpeg", "png"], key="image_uploader")
-
-if uploaded_image is not None:
-    # 显示上传的图像
-    st.image(uploaded_image, caption='Uploaded Image', use_column_width=True)
-    
-    # 保存临时文件
-    with tempfile.NamedTemporaryFile(delete=False, suffix='.jpg') as tmp_file:
-        tmp_file.write(uploaded_image.getvalue())
-        tmp_file_path = tmp_file.name
-
-    # 生成图像描述
-    with st.spinner("正在生成图像描述..."):
-        caption = image_to_caption(tmp_file_path)
-        st.write(f"Caption: {caption}")
-
-    # 生成故事
-    with st.spinner("正在创作故事..."):
-        story = caption_to_story(caption)
-        st.write(f"Story: {story}")
-
-    # 生成音频
-    with st.spinner("正在为故事配音..."):
-        audio_array, sampling_rate = story_to_audio(story)
-        if audio_array is not None:
-            # 将音频数据转换为正确格式
-            try:
-                # 确保音频数据是numpy数组
-                if not isinstance(audio_array, np.ndarray):
-                    audio_array = np.array(audio_array)
-                
-                # 转换为16位整数（如果需要）
-                if audio_array.dtype != np.int16:
-                    audio_array = (audio_array * 32767).astype(np.int16)
-                
-                # 播放音频
-                st.audio(audio_array.tobytes(), format='audio/wav', sample_rate=sampling_rate)
-            except Exception as e:
-                st.error(f"音频播放失败: {e}")
-
-    # 删除临时文件
-    os.remove(tmp_file_path)
-
-