intelliarts commited on
Commit
7026488
·
1 Parent(s): d93259b

Update app.py

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reformat a text to be a markdown

Files changed (1) hide show
  1. app.py +4 -3
app.py CHANGED
@@ -51,13 +51,14 @@ target_size = (224, 224)
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  st.set_page_config(page_title="Product Retrieval App")
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  st.title("Product Retrieval App")
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- uploaded_file = st.file_uploader("""The Product Retrieval App is a demonstration of a computer vision model created by Intelliarts. It can analyze and interpret visual data , i.e., shapes, colors, and textures from uploaded digital images. The data is then used to conduct a search on the web. The output of the computer vision model is a set of images that are predicted to be most similar to the input image.
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  To use the Product Retrieval App, you need to:
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  1. Select an image that depicts the item of interest. Acceptable formats are JPG, JPEG, and PNG.
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  2. Upload the image by either dragging and dropping the file into the search field or selecting a file from your computer using the “browse files” button.
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- 3. Scroll to the bottom of the page to review the output results.
 
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- Choose an image...""", type=["jpg", "jpeg", "png"])
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  loading_text = st.empty()
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  st.set_page_config(page_title="Product Retrieval App")
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  st.title("Product Retrieval App")
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+ st.markdown("""The Product Retrieval App is a demonstration of a computer vision model created by <a href="https://intelliarts.com/">Intelliarts</a>. It can analyze and interpret visual data , i.e., shapes, colors, and textures from uploaded digital images. The data is then used to conduct a search on the web. The output of the computer vision model is a set of images that are predicted to be most similar to the input image.
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  To use the Product Retrieval App, you need to:
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  1. Select an image that depicts the item of interest. Acceptable formats are JPG, JPEG, and PNG.
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  2. Upload the image by either dragging and dropping the file into the search field or selecting a file from your computer using the “browse files” button.
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+ 3. Scroll to the bottom of the page to review the output results.""",
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+ unsafe_allow_html=True)
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+ uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
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  loading_text = st.empty()
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