File size: 3,064 Bytes
ae8a9c9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 |
import streamlit as st
from pdfhandle import parse_medical_pdf
from analyze import analyze_parameter
st.set_page_config(
page_title="Health Report Analyzer",
layout="wide",
page_icon="🩺"
)
# Custom title with enhanced styling
st.markdown("""
<h1 style='text-align: center; color: #2a5c8a; font-size: 2.5em;
margin-bottom: 30px;'>
Medical Report Analysis and Recommendations
</h1>
""", unsafe_allow_html=True)
# File upload with 10MB limit
uploaded_file = st.file_uploader(
"Upload Medical Report (PDF, max 10MB)",
type="pdf",
help="We never store your medical data",
accept_multiple_files=False
)
if uploaded_file:
if uploaded_file.size > 10 * 1024 * 1024:
st.error("❌ File size exceeds 10MB limit")
st.stop()
with st.spinner("Analyzing your report..."):
try:
# Process PDF
raw_data = parse_medical_pdf(uploaded_file)
if not raw_data:
st.error("No parameters found in document")
st.stop()
# Process analysis
categorized = {
"Good": [],
"Moderate": [],
"Immediate Attention": []
}
for item in raw_data:
analysis = analyze_parameter(
item["test"],
item["value"],
item["reference"]
)
row = {
"Parameter": item["test"],
"Value": f"{item['value']} (Ref: {item['reference']})",
"Reason": analysis["reason"],
"Food": analysis["food"],
"Exercise": analysis["exercise"]
}
categorized[analysis["status"]].append(row)
# Display results
st.success("Analysis Complete!")
st.warning("❗ This tool provides general insights only. Always consult a healthcare professional.")
for status in ["Good", "Moderate", "Immediate Attention"]:
if data := categorized[status]:
st.subheader(f"{status} Parameters ({len(data)})")
st.dataframe(
data,
column_config={
"Parameter": "Medical Parameter",
"Value": st.column_config.Column(
"Value with Reference",
help="Hover over values to see reference ranges"
),
"Reason": "Clinical Significance",
"Food": "Dietary Recommendations",
"Exercise": "Activity Guidance"
},
use_container_width=True,
hide_index=True
)
except Exception as e:
st.error(f"Analysis failed: {str(e)}") |