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Update app.py
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app.py
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# import part
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import streamlit as st
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from transformers import pipeline
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import
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import tempfile
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# function part
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# img2text
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def img2text(url):
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image_to_text_model = pipeline("image-to-text",
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text = image_to_text_model(url)[0]["generated_text"]
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return text
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# text2story
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def text2story(text):
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# text2audio
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def text2audio(story_text):
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# main part
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st.set_page_config(page_title="Your Image to Audio Story",
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st.header("Turn Your Image to Audio Story")
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uploaded_file = st.file_uploader("Select an Image...")
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if uploaded_file is not None:
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bytes_data = uploaded_file.getvalue()
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with open(uploaded_file.name, "wb") as file:
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file.write(bytes_data)
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st.image(uploaded_file, caption="Uploaded Image",
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# Stage 1: Image to Text
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st.text('Processing img2text...')
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# Stage 3: Story to Audio data
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st.text('Generating audio data...')
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# Play button
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if st.button("Play Audio"):
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st.audio(
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# import part
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import streamlit as st
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from transformers import pipeline
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from gtts import gTTS
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import io
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# function part
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# img2text
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def img2text(url):
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image_to_text_model = pipeline("image-to-text",
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model="Salesforce/blip-image-captioning-base")
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text = image_to_text_model(url)[0]["generated_text"]
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return text
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# text2story
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def text2story(text):
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story_pipeline = pipeline("text-generation", model="facebook/opt-125m")
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# 调用 pipeline 生成故事文本
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result = story_pipeline(text, max_length=200, num_return_sequences=1)
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story_text = result[0]['generated_text']
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return story_text
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# text2audio
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def text2audio(story_text):
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# 使用 gTTS 库将文本转换为音频
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tts = gTTS(text=story_text, lang='en')
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# 创建一个内存中的字节流对象,用于存储音频数据
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audio_file = io.BytesIO()
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# 将音频数据写入字节流
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tts.write_to_fp(audio_file)
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# 将文件指针移动到文件开头,以便后续读取
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audio_file.seek(0)
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return audio_file
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# main part
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st.set_page_config(page_title="Your Image to Audio Story",
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page_icon="🦜")
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st.header("Turn Your Image to Audio Story")
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uploaded_file = st.file_uploader("Select an Image...")
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if uploaded_file is not None:
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print(uploaded_file)
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bytes_data = uploaded_file.getvalue()
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with open(uploaded_file.name, "wb") as file:
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file.write(bytes_data)
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st.image(uploaded_file, caption="Uploaded Image",
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use_column_width=True)
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# Stage 1: Image to Text
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st.text('Processing img2text...')
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# Stage 3: Story to Audio data
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st.text('Generating audio data...')
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audio_data = text2audio(story)
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# Play button
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if st.button("Play Audio"):
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st.audio(audio_data, format="audio/mpeg")
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