import streamlit as st

# Titolo
st.title("AI for Communication and inclusion")
st.header("Graph to text")

# File path
demo_video_path = "GTT demo.mp4"
pitch_video_path = "GTT pitch.MP4"  
pptx_file = "6_Nicola_Diversity and Inclusion_6.2.2025.pptx"

# GTT contents
st.subheader("Watch the demo")
st.video(demo_video_path)
st.subheader("Watch the pitch")
st.video(pitch_video_path)
st.subheader("Discover the presentation")

with open(pptx_file, "rb") as file:
    st.download_button(
        label="📥 Download the presentation",
        data=file,
        file_name="6_Nicola_Diversity and Inclusion_6.2.2025.pptx",
        mime="application/vnd.openxmlformats-officedocument.presentationml.presentation"
    )

# Other projects
st.header("Other projects")
st.subheader("Inclusive language converter: test file")

pdf_file = "Testo non inclusivo.pdf"  # Sostituisci con il nome del file
with open(pdf_file, "rb") as file:
    st.download_button(
        label="📥 Download the test file",
        data=file,
        file_name="Testo non inclusivo.pdf",
        mime="application/pdf"
    )


st.subheader("Document accessibility assistant: test file")

docx_file = "Documento non accessibile.docx"
with open(docx_file, "rb") as file:
    st.download_button(
        label="📥 Download the test file",
        data=file,
        file_name="Documento non accessibile.docx",
        mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document"
    )  

st.subheader("Classify posts, gather information of views and likes in VIVA Engage: test file")

docx_file = "VIVA-Diversità.docx"
with open(docx_file, "rb") as file:
    st.download_button(
        label="📥 Download the test file",
        data=file,
        file_name="VIVA-Diversità.docx",
        mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document"
    )