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Update app.py
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app.py
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@@ -5,49 +5,58 @@ import requests
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from PIL import Image
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from model import get_caption_model, generate_caption
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@st.
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def get_model():
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return get_caption_model()
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caption_model = get_model()
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def predict():
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captions = []
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st.title('Image Captioner')
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img_url = st.text_input(label='Enter Image URL')
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img = img.convert('RGB')
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st.image(img)
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img.save('tmp.jpg')
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predict()
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os.remove('tmp.jpg')
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st.markdown('<center style="opacity: 70%">OR</center>', unsafe_allow_html=True)
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img_upload = st.file_uploader(label='Upload Image', type=['jpg', 'png', 'jpeg'])
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if img_upload
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from PIL import Image
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from model import get_caption_model, generate_caption
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# Use st.experimental_memo instead of st.cache_resource
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@st.experimental_memo(allow_output_mutation=True)
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def get_model():
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return get_caption_model()
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caption_model = get_model()
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def predict():
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captions = []
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try:
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pred_caption = generate_caption('tmp.jpg', caption_model)
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st.markdown('#### Predicted Captions:')
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captions.append(pred_caption)
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for _ in range(4):
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pred_caption = generate_caption('tmp.jpg', caption_model, add_noise=True)
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if pred_caption not in captions:
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captions.append(pred_caption)
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for c in captions:
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st.write(c)
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except Exception as e:
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st.error(f"An error occurred during prediction: {e}")
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st.title('Image Captioner')
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# Handle image URL input
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img_url = st.text_input(label='Enter Image URL')
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if img_url:
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try:
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img = Image.open(requests.get(img_url, stream=True).raw)
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img = img.convert('RGB')
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st.image(img)
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img.save('tmp.jpg')
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predict()
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os.remove('tmp.jpg')
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except Exception as e:
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st.error(f"An error occurred with the image URL: {e}")
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st.markdown('<center style="opacity: 70%">OR</center>', unsafe_allow_html=True)
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# Handle image file upload
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img_upload = st.file_uploader(label='Upload Image', type=['jpg', 'png', 'jpeg'])
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if img_upload:
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try:
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img = Image.open(io.BytesIO(img_upload.read()))
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img = img.convert('RGB')
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img.save('tmp.jpg')
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st.image(img)
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predict()
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os.remove('tmp.jpg')
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except Exception as e:
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st.error(f"An error occurred with the image upload: {e}")
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