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Update app.py
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app.py
CHANGED
@@ -4,22 +4,21 @@ from PIL import Image
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import time
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from transformers import pipeline
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# function part
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def generate_image_caption(
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"""Generates a caption for the given image using a pre-trained model."""
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result = img2caption(image_path)
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return result[0]['generated_text']
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# text2story
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def text2story(text):
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story_text =
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return story_text
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# main part
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# App title
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st.title("Assignment")
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@@ -27,18 +26,22 @@ st.title("Assignment")
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# Write some text
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st.write("Image to Story")
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# File uploader for image
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uploaded_image = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
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# Display image with spinner
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if uploaded_image is not None:
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with st.spinner("
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time.sleep(1) # Simulate a delay
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image = Image.open(uploaded_image)
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st.image(image, caption="Uploaded Image", use_column_width=True)
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caption = generate_image_caption(uploaded_image)
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st.write("Generated Caption
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import time
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from transformers import pipeline
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# Load models (once globally)
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img2caption = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
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story_gen = pipeline("text-generation", model="pranavpsv/genre-story-generator-v2")
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# function part
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def generate_image_caption(image):
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"""Generates a caption for the given image using a pre-trained model."""
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result = img2caption(image)
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return result[0]['generated_text']
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def text2story(text):
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"""Generates a story from the given caption using a story generation model."""
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story_text = story_gen(text)[0]['generated_text']
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return story_text
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# main part
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# App title
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st.title("Assignment")
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# Write some text
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st.write("Image to Story")
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# File uploader for image
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uploaded_image = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
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# Display image with spinner
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if uploaded_image is not None:
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with st.spinner("Processing..."):
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time.sleep(1) # Simulate a delay
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image = Image.open(uploaded_image)
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st.image(image, caption="Uploaded Image", use_column_width=True)
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# Generate caption
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caption = generate_image_caption(uploaded_image)
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st.write(f"**Generated Caption:** {caption}")
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# Button to generate story
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if st.button("Generate Story from Caption"):
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story = text2story(caption)
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st.markdown("**Generated Story:**")
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st.write(story)
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