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Update app.py
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app.py
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@@ -1,12 +1,14 @@
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# import part - only using the two requested imports
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import streamlit as st
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from transformers import pipeline
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# function part
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# img2text
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def img2text(
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image_to_text = pipeline("image-to-text", model="sooh-j/blip-image-captioning-base")
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text = image_to_text(
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return text
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# text2story - IMPROVED to end naturally
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@@ -91,12 +93,12 @@ if uploaded_file is not None:
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# Display the uploaded image
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st.image(uploaded_file, caption="Uploaded Image", use_container_width=True)
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#
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# Stage 1: Image to Text
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st.text('Processing img2text...')
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caption = img2text(
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st.write(caption)
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# Stage 2: Text to Story
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# import part - only using the two requested imports
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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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# function part
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# img2text
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def img2text(image):
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image_to_text = pipeline("image-to-text", model="sooh-j/blip-image-captioning-base")
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text = image_to_text(image)[0]["generated_text"]
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return text
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# text2story - IMPROVED to end naturally
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# Display the uploaded image
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st.image(uploaded_file, caption="Uploaded Image", use_container_width=True)
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# Convert the file to a PIL Image
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image = Image.open(uploaded_file)
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# Stage 1: Image to Text
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st.text('Processing img2text...')
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caption = img2text(image) # Pass PIL image to pipeline
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st.write(caption)
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# Stage 2: Text to Story
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