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from home import read_markdown_file |
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import streamlit as st |
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def app(): |
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st.title("Examples & Applications") |
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st.write( |
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""" |
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## Image Retrieval |
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Even though we trained the Italian CLIP model on way less examples than the original |
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OpenAI's CLIP, our training choices and quality datasets led to impressive results! |
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Here, we collected few of **the most impressive text-image associations** learned by our model. |
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Remember you can head to the **Text to Image** section of the demo at any time to test your own🤌 Italian queries! |
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""" |
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) |
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st.markdown("### 1. Actors in Scenes") |
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st.markdown("These examples comes from the CC dataset") |
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st.subheader("una coppia") |
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st.markdown("*a couple*") |
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st.image("static/img/examples/couple_0.jpeg") |
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col1, col2 = st.beta_columns(2) |
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col1.subheader("una coppia con il tramonto sullo sfondo") |
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col1.markdown("*a couple with the sunset in the background*") |
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col1.image("static/img/examples/couple_1.jpeg") |
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col2.subheader("una coppia che passeggia sulla spiaggia") |
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col2.markdown("*a couple walking on the beach*") |
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col2.image("static/img/examples/couple_2.jpeg") |
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st.subheader("una coppia che passeggia sulla spiaggia al tramonto") |
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st.markdown("*a couple walking on the beach at sunset*") |
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st.image("static/img/examples/couple_3.jpeg") |
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st.markdown("### 2. Dresses") |
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st.markdown("These examples comes from the Unsplash dataset") |
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col1, col2 = st.beta_columns(2) |
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col1.subheader("un vestito primavrile") |
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col1.markdown("*a dress for the spring*") |
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col1.image("static/img/examples/vestito1.png") |
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col2.subheader("un vestito autunnale") |
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col2.markdown("*a dress for the autumn*") |
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col2.image("static/img/examples/vestito_autunnale.png") |
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st.markdown("## Image Classification") |
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st.markdown("We report this cool example provided by the " |
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"[DALLE-mini team](https://github.com/borisdayma/dalle-mini). " |
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"Is the DALLE-mini logo an *avocado* or an armchair (*poltrona*)?") |
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st.image("static/img/examples/dalle_mini.png") |
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st.markdown("It seems it's half an armchair and half an avocado! We thank the team for the great idea :)") |
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