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Update app.py
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app.py
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@@ -2,77 +2,72 @@ import streamlit as st
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from transformers import pipeline
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from PIL import Image
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#
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# Uses the Hugging Face pipeline with the Salesforce BLIP model to analyze the image and produce a descriptive caption
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def generate_caption(image):
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image_to_text = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
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caption = image_to_text(image)[0]["generated_text"]
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return caption
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#
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# Uses the pranavpsv/genre-story-generator-v2 model to create a creative story inspired by the caption
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def generate_story(caption):
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pipe = pipeline("text-generation", model="pranavpsv/genre-story-generator-v2")
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story = pipe(caption
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return story
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#
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# Uses the facebook/mms-tts-eng model to generate a spoken version of the story
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def generate_audio(story):
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pipe = pipeline("text-to-speech", model="facebook/mms-tts-eng")
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audio = pipe(story)
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return audio
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# Streamlit UI:
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# The app is designed to be simple, colorful, and engaging for young users
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#
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st.markdown("<h1 style='text-align: center; color:
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#
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st.markdown(
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"""
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<p style='text-align: center; font-size: 16px;'>
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This app is
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</p>
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""",
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unsafe_allow_html=True
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)
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#
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uploaded_file = st.file_uploader("
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#
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if uploaded_file is not None:
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#
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# The image is opened using Pillow and displayed with a caption
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image = Image.open(uploaded_file)
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st.image(image, caption="Your
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#
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with st.spinner("๐ Looking at your picture..."):
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image_caption = generate_caption(image)
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st.subheader("
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st.write(f"{image_caption}")
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st.markdown("<p style='font-size: 14px;'>This is
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#
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with st.spinner("๐๏ธ Writing a magical story..."):
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story_telling = generate_story(image_caption)
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st.subheader("
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st.write(f"{story_telling}")
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st.markdown("<p style='font-size: 14px;'>
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#
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with st.spinner("๐ต Turning your story into sound..."):
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audio = generate_audio(story_telling)
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st.audio(
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audio['audio'],
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@@ -80,15 +75,15 @@ if uploaded_file is not None:
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start_time=0,
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sample_rate=audio['sampling_rate']
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)
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st.markdown("<p style='font-size: 14px;'>
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#
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st.markdown(
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"""
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<hr>
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<p style='text-align: center; font-size: 14px;'>
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</p>
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""",
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unsafe_allow_html=True
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from transformers import pipeline
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from PIL import Image
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# Creates a short description from an uploaded picture using a smart model
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def generate_caption(image):
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# Loads the BLIP model to analyze the image and describe it
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image_to_text = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
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caption = image_to_text(image)[0]["generated_text"]
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return caption
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# Turns the pictureโs description into a fun story
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def generate_story(caption):
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# Uses a story-generating model to craft a tale based on the description
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pipe = pipeline("text-generation", model="pranavpsv/genre-story-generator-v2")
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story = pipe(caption)[0]['generated_text']
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return story
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# Makes the story into a spoken audio clip
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def generate_audio(story):
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# Employs a text-to-speech model to read the story aloud
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pipe = pipeline("text-to-speech", model="facebook/mms-tts-eng")
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audio = pipe(story)
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return audio
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# Streamlit UI: Builds a colorful, kid-friendly interface for storytelling fun
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# Shows a big, exciting title to welcome young users
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st.markdown("<h1 style='text-align: center; color: orange;'>โจ Magic Story Creator! โจ</h1>", unsafe_allow_html=True)
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# Adds a fun message to explain what the app does
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st.markdown(
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"""
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<p style='text-align: center; font-size: 16px;'>
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๐ฆ Hey there, story explorers! Share a picture, and Iโll weave a super cool story for you!
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This app is made for kids aged 3-10 who love adventures and imagination.
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Ready to dive in? Letโs go! ๐
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</p>
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""",
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unsafe_allow_html=True
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)
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# Lets kids upload a picture to start their story
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uploaded_file = st.file_uploader("๐ผ๏ธ Share a fun picture!", type=["png", "jpg", "jpeg"], help="Pick a picture to spark a story!")
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# Checks if a picture has been uploaded
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if uploaded_file is not None:
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# Opens and shows the picture on the screen
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image = Image.open(uploaded_file)
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st.image(image, caption="Your Super Cool Picture! ๐", use_column_width=True)
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# Creates a description of the picture
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with st.spinner("๐ต๏ธโโ๏ธ Exploring your picture..."):
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image_caption = generate_caption(image)
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st.subheader("๐ Whatโs Your Picture About?")
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st.write(f"{image_caption}")
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st.markdown("<p style='font-size: 14px;'>This is the start of your adventure! Letโs build a story! ๐ฐ</p>", unsafe_allow_html=True)
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# Makes a story from the pictureโs description
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with st.spinner("โ๏ธ Crafting a fantastic tale..."):
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story_telling = generate_story(image_caption)
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st.subheader("๐ Your Awesome Story!")
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st.write(f"{story_telling}")
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st.markdown("<p style='font-size: 14px;'>How cool is that? Want to hear your story come to life? Tap below! ๐ค</p>", unsafe_allow_html=True)
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# Turns the story into audio when requested
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if st.button("๐ Hear Your Story!"):
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with st.spinner("๐ง Creating story audio..."):
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audio = generate_audio(story_telling)
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st.audio(
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audio['audio'],
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start_time=0,
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sample_rate=audio['sampling_rate']
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)
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st.markdown("<p style='font-size: 14px;'>Wow, your story sounds amazing! Listen again anytime! ๐</p>", unsafe_allow_html=True)
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# Adds a cheerful note to encourage more storytelling
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st.markdown(
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"""
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<hr>
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<p style='text-align: center; font-size: 14px;'>
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๐ธ Ready for another tale? Upload a new picture for a fresh adventure!
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Created with sparkles for awesome kids! ๐
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</p>
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""",
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unsafe_allow_html=True
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