from home import read_markdown_file import streamlit as st def app(): #st.title("Examples & Applications") st.markdown("

Examples & Applications

", unsafe_allow_html=True) st.markdown("

Complex Queries -Image Retrieval

", unsafe_allow_html=True) st.write( """ Even though we trained the Italian CLIP model on way less examples(~1.4M) than the original OpenAI's CLIP (~400M), our training choices and quality datasets led to impressive results! Here, we present some 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.markdown("These examples were taken from the CC dataset") 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") st.markdown("These examples were taken from the Unsplash dataset") 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") #st.markdown("## Image Classification") st.markdown("

Zero Shot Image Classification

", unsafe_allow_html=True) st.markdown("We report this cool example provided by the " "[DALLE-mini team](https://github.com/borisdayma/dalle-mini). " "Is the DALLE-mini logo an *avocado* or an armchair (*poltrona*)?") st.image("static/img/examples/dalle_mini.png") st.markdown("It seems it's half an armchair and half an avocado! We thank the DALLE-mini team for the great idea :)")