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| from home import read_markdown_file | |
| import streamlit as st | |
| def app(): | |
| st.title("Examples & Applications") | |
| st.write( | |
| """ | |
| ## Image Retrieval | |
| Even though we trained the Italian CLIP model on way less examples than the original | |
| OpenAI's CLIP, our training choices and quality datasets led to impressive results! | |
| Here, we collected few of **the most impressive text-image associations** learned by our model. | |
| Remember you can head to the **Text to Image** section of the demo at any time to test your own 🤌 Italian 🤌 queries! | |
| """ | |
| ) | |
| st.markdown("### 1. Actors in Scenes") | |
| st.subheader("una coppia") | |
| st.markdown("*a couple*") | |
| st.image("static/img/examples/couple_0.jpeg") | |
| col1, col2 = st.beta_columns(2) | |
| col1.subheader("una coppia con il tramonto sullo sfondo") | |
| col1.markdown("*a couple with the sunset in the background*") | |
| col1.image("static/img/examples/couple_1.jpeg") | |
| col2.subheader("una coppia che passeggia sulla spiaggia") | |
| col2.markdown("*a couple walking on the beach*") | |
| col2.image("static/img/examples/couple_2.jpeg") | |
| st.subheader("una coppia che passeggia sulla spiaggia al tramonto") | |
| st.markdown("*a couple walking on the beach at sunset*") | |
| st.image("static/img/examples/couple_3.jpeg") | |
| st.markdown("### 2. Dresses") | |
| col1, col2 = st.beta_columns(2) | |
| col1.subheader("un vestito primavrile") | |
| col1.markdown("*a dress for the spring*") | |
| col1.image("static/img/examples/vestito1.png") | |
| col2.subheader("un vestito autunnale") | |
| col2.markdown("*a dress for the autumn*") | |
| col2.image("static/img/examples/vestito_autunnale.png") | |