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Update app.py
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app.py
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@@ -3,12 +3,13 @@ import requests
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from PIL import Image, ImageDraw, ImageFont
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import os
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from transformers import BlipProcessor, BlipForConditionalGeneration
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# Load the BLIP model for creative caption generation
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processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
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model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
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# Function to generate a creative caption
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def generate_caption(image):
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# Prepare image for the model
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inputs = processor(images=image, return_tensors="pt")
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@@ -19,13 +20,30 @@ def generate_caption(image):
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# Decode the output to get a readable caption
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caption = processor.decode(out[0], skip_special_tokens=True)
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# Streamlit app
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def main():
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st.title("Creative Image Caption Generator")
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st.write("Upload an image, and let the AI generate a creative and descriptive caption for it
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# Upload image
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uploaded_file = st.file_uploader("Upload an Image", type=["jpg", "png", "jpeg"])
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from PIL import Image, ImageDraw, ImageFont
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import os
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from transformers import BlipProcessor, BlipForConditionalGeneration
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from random import choice
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# Load the BLIP model for creative caption generation
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processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
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model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
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# Function to generate a detailed, creative caption
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def generate_caption(image):
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# Prepare image for the model
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inputs = processor(images=image, return_tensors="pt")
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# Decode the output to get a readable caption
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caption = processor.decode(out[0], skip_special_tokens=True)
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# Enhance the caption with more details (assuming the image context is about nature, people, etc.)
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detailed_caption = enhance_caption(caption)
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return detailed_caption
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# Enhance caption with surrounding context and social media flavor
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def enhance_caption(caption):
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# Possible enhancements for social media flavor
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emojis = ["π
", "π", "π»", "π΄", "ποΈ", "π¦", "π", "π"]
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hashtags = ["#NatureLovers", "#TravelVibes", "#Sunset", "#BeachLife", "#AdventureAwaits"]
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# Select random emojis and hashtags to add a fun social media touch
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selected_emoji = choice(emojis)
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selected_hashtags = " ".join(choice(hashtags) for _ in range(2)) # Select two random hashtags
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# Creating a more detailed, fun caption for social media
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enhanced_caption = f"{caption} {selected_emoji} {selected_hashtags}"
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return enhanced_caption
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# Streamlit app
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def main():
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st.title("Creative Image Caption Generator")
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st.write("Upload an image, and let the AI generate a creative and descriptive caption for it, ready for social media sharing!")
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# Upload image
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uploaded_file = st.file_uploader("Upload an Image", type=["jpg", "png", "jpeg"])
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