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import streamlit as st
from PIL import Image
import base64
# Add a title
st.set_page_config(page_title="Select Diagnosis", layout="centered")
with open("./logo.png", "rb") as f:
image_data = f.read()
image_base64 = base64.b64encode(image_data).decode("utf-8")
# Add custom CSS for the header
header_css = """
<style>
.header {
display: flex;
align-items: center;
justify-content: center;
padding: 20px;
font-size: 18px;
}
.header img {
margin-right: 10px;
width: 80px;
height: 50px;
}
.header p {
font-size: 14px;
}
</style>
"""
# Render the custom CSS
st.markdown(header_css, unsafe_allow_html=True)
# Render the header
header_html = f"""
<div class="header">
<img src='data:image/jpeg;base64,{image_base64}' alt="Logo"/>
<p>Disclaimer: The purpose of this application is solely for demonstration. 1001epochs does not claim ownership for the results. Contact: contact@1001epochs.co.uk for full solution.</p>
</div>
"""
st.markdown(header_html, unsafe_allow_html=True)
# Render the main content
st.title("Medical Diagnosis App")
st.markdown("")
st.markdown(
"<li> Currently Brain Tumors, X-rays, and Skin Lesions are ready for diagnosis </li>"
"<li>The Models also explain what area in the images is the cause of diagnosis </li>"
"<li>Currently, the models are trained on a small dataset and will be trained on a larger dataset in the future</li>"
'<li> The Application also provides generated information on how to diagnose the disease and what should the patient do in that case</li>',
unsafe_allow_html=True
)
with st.sidebar.container():
st.image("https://media.giphy.com/media/Yp9Fi2moJ026Q/giphy.gif")
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