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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"
)
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