Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -2,7 +2,7 @@ import streamlit as st
|
|
| 2 |
from PIL import Image
|
| 3 |
import numpy as np
|
| 4 |
import torch
|
| 5 |
-
from transformers import ViTForImageClassification
|
| 6 |
|
| 7 |
# Load the Hugging Face model for ECG classification
|
| 8 |
model_name = "adilsaleem/ecg-image-multilabel-classification"
|
|
@@ -13,7 +13,6 @@ except Exception as e:
|
|
| 13 |
st.error(f"Error loading model: {str(e)}")
|
| 14 |
st.stop()
|
| 15 |
|
| 16 |
-
|
| 17 |
# CSS for styling
|
| 18 |
st.markdown(
|
| 19 |
"""
|
|
@@ -21,12 +20,17 @@ st.markdown(
|
|
| 21 |
body {
|
| 22 |
background-color: #F5F7FA; /* Light background color */
|
| 23 |
font-family: 'Arial', sans-serif;
|
|
|
|
|
|
|
|
|
|
|
|
|
| 24 |
}
|
| 25 |
.title {
|
| 26 |
font-size: 40px;
|
| 27 |
text-align: center;
|
| 28 |
color: #2980B9; /* Beautiful blue color */
|
| 29 |
font-weight: bold; /* Bold text */
|
|
|
|
| 30 |
}
|
| 31 |
.subtitle {
|
| 32 |
font-size: 20px;
|
|
@@ -35,14 +39,19 @@ st.markdown(
|
|
| 35 |
margin-bottom: 20px;
|
| 36 |
}
|
| 37 |
.footer {
|
| 38 |
-
background-color: #
|
| 39 |
color: white; /* Text color in footer */
|
| 40 |
text-align: center;
|
| 41 |
-
padding:
|
| 42 |
-
position:
|
| 43 |
bottom: 0;
|
| 44 |
-
|
| 45 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 46 |
}
|
| 47 |
</style>
|
| 48 |
""",
|
|
@@ -52,6 +61,19 @@ st.markdown(
|
|
| 52 |
# App Title
|
| 53 |
st.markdown('<div class="title">ECG READER</div>', unsafe_allow_html=True)
|
| 54 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 55 |
def preprocess_image(image):
|
| 56 |
try:
|
| 57 |
image = image.convert("RGB")
|
|
@@ -86,7 +108,6 @@ def get_ecg_explanation(status):
|
|
| 86 |
}
|
| 87 |
return explanations.get(status, "No explanation available.")
|
| 88 |
|
| 89 |
-
|
| 90 |
uploaded_file = st.file_uploader("Select an ECG image", type=["jpg", "jpeg", "png"])
|
| 91 |
|
| 92 |
if uploaded_file:
|
|
@@ -105,22 +126,6 @@ if uploaded_file:
|
|
| 105 |
except Exception as e:
|
| 106 |
st.error(f"Error uploading or displaying image: {str(e)}")
|
| 107 |
|
| 108 |
-
|
| 109 |
-
# About Us Section
|
| 110 |
-
with st.expander("About the App"):st.write("""
|
| 111 |
-
This ECG Reader application uses AI to analyze ECG images and provide insights into heart health.
|
| 112 |
-
It helps users determine whether their ECG results are clear or unclear.
|
| 113 |
-
|
| 114 |
-
Developed by Hamaad Ayub Khan.
|
| 115 |
-
|
| 116 |
-
Connect with me:
|
| 117 |
-
- [Instagram](https://www.instagram.com/hamaadayubkhan)
|
| 118 |
-
- [GitHub](https://github.com/hakgs1234)
|
| 119 |
-
- Email: [My Email](mailto:hakgss1234@gmail.com)
|
| 120 |
-
- [Facebook](https://www.facebook.com/hamaadayubkhan)
|
| 121 |
-
""")
|
| 122 |
-
|
| 123 |
-
|
| 124 |
# Footer
|
| 125 |
st.markdown(
|
| 126 |
"""
|
|
@@ -130,4 +135,4 @@ st.markdown(
|
|
| 130 |
</div>
|
| 131 |
""",
|
| 132 |
unsafe_allow_html=True,
|
| 133 |
-
)
|
|
|
|
| 2 |
from PIL import Image
|
| 3 |
import numpy as np
|
| 4 |
import torch
|
| 5 |
+
from transformers import ViTForImageClassification
|
| 6 |
|
| 7 |
# Load the Hugging Face model for ECG classification
|
| 8 |
model_name = "adilsaleem/ecg-image-multilabel-classification"
|
|
|
|
| 13 |
st.error(f"Error loading model: {str(e)}")
|
| 14 |
st.stop()
|
| 15 |
|
|
|
|
| 16 |
# CSS for styling
|
| 17 |
st.markdown(
|
| 18 |
"""
|
|
|
|
| 20 |
body {
|
| 21 |
background-color: #F5F7FA; /* Light background color */
|
| 22 |
font-family: 'Arial', sans-serif;
|
| 23 |
+
display: flex;
|
| 24 |
+
flex-direction: column;
|
| 25 |
+
height: 100vh;
|
| 26 |
+
margin: 0;
|
| 27 |
}
|
| 28 |
.title {
|
| 29 |
font-size: 40px;
|
| 30 |
text-align: center;
|
| 31 |
color: #2980B9; /* Beautiful blue color */
|
| 32 |
font-weight: bold; /* Bold text */
|
| 33 |
+
margin: 20px 0;
|
| 34 |
}
|
| 35 |
.subtitle {
|
| 36 |
font-size: 20px;
|
|
|
|
| 39 |
margin-bottom: 20px;
|
| 40 |
}
|
| 41 |
.footer {
|
| 42 |
+
background-color: #2C3E50; /* Darker blue for footer */
|
| 43 |
color: white; /* Text color in footer */
|
| 44 |
text-align: center;
|
| 45 |
+
padding: 15px; /* Padding for footer */
|
| 46 |
+
position: sticky;
|
| 47 |
bottom: 0;
|
| 48 |
+
width: 100%;
|
| 49 |
+
font-size: 14px; /* Font size for footer */
|
| 50 |
+
}
|
| 51 |
+
.about {
|
| 52 |
+
margin: 20px 0;
|
| 53 |
+
text-align: center;
|
| 54 |
+
color: #34495E; /* Darker shade for about section */
|
| 55 |
}
|
| 56 |
</style>
|
| 57 |
""",
|
|
|
|
| 61 |
# App Title
|
| 62 |
st.markdown('<div class="title">ECG READER</div>', unsafe_allow_html=True)
|
| 63 |
|
| 64 |
+
# About Us Section in Expander
|
| 65 |
+
with st.expander("About the App", expanded=True):
|
| 66 |
+
st.write("""
|
| 67 |
+
This ECG Reader application uses AI to analyze ECG images and provide insights into heart health.
|
| 68 |
+
It helps users determine whether their ECG results are clear or unclear.
|
| 69 |
+
Developed by Hamaad Ayub Khan.
|
| 70 |
+
""")
|
| 71 |
+
st.write("Connect with me:")
|
| 72 |
+
st.markdown('- [Instagram](https://www.instagram.com/hamaadayubkhan)', unsafe_allow_html=True)
|
| 73 |
+
st.markdown('- [GitHub](https://github.com/hakgs1234)', unsafe_allow_html=True)
|
| 74 |
+
st.markdown('- [My Email](mailto:hakgss1234@gmail.com)', unsafe_allow_html=True)
|
| 75 |
+
st.markdown('- [Facebook](https://www.facebook.com/hamaadayubkhan)', unsafe_allow_html=True)
|
| 76 |
+
|
| 77 |
def preprocess_image(image):
|
| 78 |
try:
|
| 79 |
image = image.convert("RGB")
|
|
|
|
| 108 |
}
|
| 109 |
return explanations.get(status, "No explanation available.")
|
| 110 |
|
|
|
|
| 111 |
uploaded_file = st.file_uploader("Select an ECG image", type=["jpg", "jpeg", "png"])
|
| 112 |
|
| 113 |
if uploaded_file:
|
|
|
|
| 126 |
except Exception as e:
|
| 127 |
st.error(f"Error uploading or displaying image: {str(e)}")
|
| 128 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 129 |
# Footer
|
| 130 |
st.markdown(
|
| 131 |
"""
|
|
|
|
| 135 |
</div>
|
| 136 |
""",
|
| 137 |
unsafe_allow_html=True,
|
| 138 |
+
)
|