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Update app.py
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app.py
CHANGED
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import streamlit as st
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from transformers import pipeline
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from PIL import Image
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import io
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st.error(f"Error generating caption: {str(e)}")
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return "children playing in a colorful park"
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words = words[:100]
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story = " ".join(words)
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# Add period to the end if needed
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if not story.endswith(('.', '!', '?')):
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story += '.'
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return story
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except Exception as e:
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st.error(f"Error generating story: {str(e)}")
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return f"Once upon a time, {caption}. Something magical happened and everyone lived happily ever after."
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try:
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tts = gTTS(text=text, lang='en', slow=False)
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audio_file = "story_audio.mp3"
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tts.save(audio_file)
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return audio_file
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except Exception as e:
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st.error(f"Error generating audio: {str(e)}")
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return None
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uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
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if uploaded_file is not None:
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# Display the uploaded image
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image =
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# Generate caption
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progress_bar.progress(25)
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st.text('Analyzing image...')
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caption = generate_caption(image)
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st.write("Image caption:", caption)
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# Generate story
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progress_bar.progress(50)
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st.text('Creating story...')
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story = generate_story(caption)
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word_count = len(story.split())
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st.write(f"### Your Story ({word_count} words)")
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st.write(story)
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st.markdown("---")
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st.
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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 torch
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from PIL import Image
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import io
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import os
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from huggingface_hub import InferenceClient
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import numpy as np
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import base64
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# function part
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# img2text
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def img2text(image_path):
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image_to_text = pipeline("image-to-text", model="noamrot/FuseCap_Image_Captioning")
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text = image_to_text(image_path)[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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# Using Llama model through API to avoid GGUF format complexities in Streamlit
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client = InferenceClient(model="MaziyarPanahi/Llama-3.2-1B-Instruct-GGUF")
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# Create a prompt for the story generation
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prompt = f"""Write a fun, engaging children's story of about 100 words based on this caption:
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"{text}"
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The story should be suitable for kids aged 3-10 years old, with simple language, positive themes, and a clear beginning, middle, and end.
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"""
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# Generate the story
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story_text = client.text_generation(
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prompt,
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max_new_tokens=250,
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temperature=0.7,
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top_p=0.9,
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repetition_penalty=1.2
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)
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return story_text
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# text2audio
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def text2audio(story_text):
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# Using Bark text-to-speech model
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tts = pipeline("text-to-speech", model="suno/bark")
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# Generate audio with a voice suitable for children's stories
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audio_output = tts(
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text=story_text,
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forward_params={"speaker": "v2/en_speaker_6", "text_temp": 0.7}
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)
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return {
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"audio": audio_output["audio"],
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"sampling_rate": audio_output["sampling_rate"]
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}
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# Function to save temporary image file
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def save_uploaded_image(uploaded_file):
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# Create a temp directory if it doesn't exist
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if not os.path.exists("temp"):
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os.makedirs("temp")
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# Define the path to save the image
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image_path = os.path.join("temp", uploaded_file.name)
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# Save the image
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with open(image_path, "wb") as f:
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f.write(uploaded_file.getvalue())
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return image_path
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# main part
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st.set_page_config(
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page_title="Kids Storytelling Magic",
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page_icon="π",
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layout="centered"
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)
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# Add some CSS for a child-friendly interface
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st.markdown("""
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<style>
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.main {
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background-color: #f0f8ff;
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}
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h1, h2, h3 {
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color: #1e90ff;
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}
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.stButton>button {
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background-color: #ff6b6b;
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color: white;
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font-size: 1.2rem;
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border-radius: 10px;
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padding: 0.5rem 1rem;
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}
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</style>
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""", unsafe_allow_html=True)
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st.title("π§Έ Kids Storytelling Magic π¦")
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st.subheader("Upload a picture and hear a magical story!")
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uploaded_file = st.file_uploader("Choose a fun picture...", type=["jpg", "jpeg", "png"])
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if uploaded_file is not None:
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# Display a loading spinner
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with st.spinner("Working on your magical story..."):
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# Display the uploaded image
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st.image(uploaded_file, caption="Your magical picture", use_column_width=True)
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# Save the image temporarily
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image_path = save_uploaded_image(uploaded_file)
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# Stage 1: Image to Text
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with st.spinner("Looking at your picture..."):
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caption = img2text(image_path)
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st.markdown("### π I see...")
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st.write(caption)
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# Stage 2: Text to Story
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with st.spinner("Creating your story..."):
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story = text2story(caption)
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st.markdown("### π Your Story")
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st.write(story)
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# Stage 3: Story to Audio data
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with st.spinner("Making your story speak..."):
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try:
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audio_data = text2audio(story)
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# Add a play button with cute icon
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st.markdown("### π Listen to your story")
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if st.button("π΅ Play Story"):
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st.audio(
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audio_data["audio"],
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format="audio/wav",
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start_time=0,
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sample_rate=audio_data["sampling_rate"]
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)
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except Exception as e:
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st.error(f"Oops! Something went wrong with the audio: {str(e)}")
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st.write("But you can still read the story above!")
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# Clean up - delete the temporary image
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try:
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os.remove(image_path)
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except:
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pass
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else:
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# Show instructions with a friendly message
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st.markdown("""
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### How to use:
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1. Click the button above to upload a picture
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2. Wait for the magical story to appear
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3. Press play to hear your story!
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Try pictures of animals, nature, toys, or anything fun!
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""")
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# Show a placeholder image
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st.image("https://placehold.co/600x400/9370db/ffffff?text=Upload+an+image+to+start+the+magic!",
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caption="Ready for your picture!", use_column_width=True)
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# Add a footer
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st.markdown("---")
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st.markdown("Made for kids to enjoy the stories")
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