examples.py

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 any time to the **Text to Image** section of the demo to test
        your own 🤌 Italian 🤌 queries!
        
        """
    )

    st.markdown("### 1. Actors in Scenes")

    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")