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import streamlit as st |
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from PIL import Image |
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from transformers import pipeline |
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from gtts import gTTS |
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import torch |
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st.set_page_config(page_title="Your Image to Audio Story", page_icon="π¦") |
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def generate_caption(image_file): |
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image = Image.open(image_file) |
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caption_generator = pipeline( |
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"image-to-text", |
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model="Salesforce/blip-image-captioning-base", |
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) |
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caption_results = caption_generator(image) |
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caption = caption_results[0]['generated_text'] |
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return caption |
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def generate_story(caption): |
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story_generator = pipeline( |
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"text-generation", |
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model="Qwen/Qwen2.5-0.5B-Instruct", |
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) |
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prompt = ( |
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"You are a highly imaginative children's story writer celebrated for your creativity and captivating narratives. " |
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"Using the image details provided below, please craft an enchanting tale tailored for children aged 3 to 10. " |
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"Rather than simply reiterating the image details, enhance your story with imaginative characters, quirky adventures, " |
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"and delightful surprises that ignite wonder in every young heart. Let your narrative flow naturally and ensure that your story is complete, with a clear beginning, middle, and end. " |
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"Please ensure the total word count does not exceed 80 words, and do not leave the story incomplete.\n\n" |
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f"Image Details: {caption}\n\nStory:" |
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) |
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result = story_generator( |
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prompt, |
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max_new_tokens=100, |
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num_return_sequences=1, |
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do_sample=True, |
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temperature=1.0 |
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) |
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full_text = result[0]['generated_text'] |
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if "Story:" in full_text: |
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story = full_text.split("Story:", 1)[1].strip() |
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else: |
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story = full_text.strip() |
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return story |
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def text_to_speech(text, output_file="output.mp3"): |
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tts = gTTS(text=text, lang="en") |
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tts.save(output_file) |
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return output_file |
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def main(): |
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st.markdown("<h1 style='text-align: center;'>Your Image to Audio Story π¦</h1>", unsafe_allow_html=True) |
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st.write("Upload an image below and we will generate an engaging story from the picture, then convert the story into an audio playback!") |
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uploaded_file = st.file_uploader("Select Image", type=["png", "jpg", "jpeg"]) |
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if uploaded_file is not None: |
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image = Image.open(uploaded_file) |
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st.image(image, caption="Uploaded image", use_container_width=True) |
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with st.spinner("Image caption being generated..."): |
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caption = generate_caption(uploaded_file) |
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st.write("**Image Caption:**", caption) |
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with st.spinner("Generating story..."): |
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story = generate_story(caption) |
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st.write("**Story:**") |
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st.write(story) |
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with st.spinner("Converting to voice..."): |
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audio_file = text_to_speech(story) |
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st.audio(audio_file, format="audio/mp3") |
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if __name__ == "__main__": |
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main() |