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import streamlit as st
import torch
def main():
st.set_page_config(
page_title="Hello",
page_icon="🧬",
layout="wide",
)
st.write("# Welcome to DN-AI! 👋")
st.write(
"This is a web application for the DN-AI project, which aims to provide an easy-to-use interface for analyzing and processing fiber images."
)
st.write("## Features")
st.write(
"- **Image loading**: The application accepts CZI file, jpeg and PNG file. \n"
"- **Image segmentation**: The application provides a set of tools to segment the DNA fiber and measure the ratio between analogs. \n"
)
st.write("## Technical details")
cols = st.columns(2)
with cols[0]:
st.write("### Source")
st.write("The source code for this application is available on GitHub.")
"""
[](https://github.com/ClementPla/DeepFiberQ/tree/relabelled)
"""
st.markdown("<br>", unsafe_allow_html=True)
with cols[1]:
st.write("### Device ")
st.write("If available, the application will try to use a GPU for processing.")
device = "GPU" if torch.cuda.is_available() else "CPU"
cols = st.columns(3)
with cols[0]:
st.write("Running on:")
with cols[1]:
st.button(device, icon="⚙️", disabled=True)
if not torch.cuda.is_available():
with cols[2]:
st.warning("The application will run on CPU, which may be slower.")
if __name__ == "__main__":
main()
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