Delete app.py

app.py

@@ -1,371 +0,0 @@
-import streamlit as st
-import google.generativeai as genai
-from PIL import Image
-import os
-from dotenv import load_dotenv
-import PyPDF2
-import io
-from datetime import datetime
-
-# Page configuration must be the first Streamlit command
-st.set_page_config(
-    page_title="OCT Retina Analysis Assistant",
-    page_icon="👁️",
-    layout="wide",
-    initial_sidebar_state="expanded"
-)
-
-# Load environment variables
-load_dotenv()
-
-# Configure Gemini API
-genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
-model = genai.GenerativeModel("gemini-2.0-flash-exp")
-
-# Custom CSS
-st.markdown("""
-    <style>
-    .main {
-        padding: 2rem;
-    }
-    .stButton>button {
-        width: 100%;
-        background-color: #FF4B4B;
-        color: white;
-        padding: 0.5rem;
-        margin-top: 1rem;
-    }
-    .credit-box {
-        background-color: #f0f2f6;
-        padding: 1rem;
-        border-radius: 0.5rem;
-        margin: 1rem 0;
-    }
-    .header-box {
-        background-color: #FF4B4B;
-        padding: 2rem;
-        border-radius: 0.5rem;
-        color: white;
-        margin-bottom: 2rem;
-        text-align: center;
-    }
-    .image-container {
-        margin: 1rem 0;
-        padding: 1rem;
-        border-radius: 0.5rem;
-        background-color: #f0f2f6;
-    }
-    .analysis-container {
-        margin-top: 1rem;
-        padding: 1rem;
-        border-radius: 0.5rem;
-        background-color: #f0f2f6;
-    }
-    </style>
-""", unsafe_allow_html=True)
-
-# System prompts
-SINGLE_TIMEPOINT_PROMPT = """You are an expert ophthalmologist. Analyze these OCT scans concisely in the following order:
-
-1. Image Quality Check
-• Briefly state if images are adequate for interpretation
-• Note any significant artifacts or limitations
-
-2. Key Findings (Be Concise)
-• List only abnormal findings
-• Focus on clinically significant features
-• Specify affected layers
-
-3. Most Likely Diagnosis
-• State your primary diagnosis
-• Support with specific findings from images and patient data
-• Indicate diagnostic confidence level
-
-4. Differential Diagnoses
-• List top 2-3 alternative diagnoses
-• Explain why each is possible but less likely
-• Link to specific findings that support/refute each
-
-5. Additional Testing Needed
-• Specify which additional tests are required and why
-• List in order of priority
-• Explain how each test will help confirm diagnosis or guide treatment
-• Include imaging, lab work, or clinical examinations as needed
-
-Do not describe normal findings unless clinically relevant."""
-
-COMPARISON_PROMPT = """You are an expert ophthalmologist. Compare these OCT scans from two timepoints concisely:
-
-1. Image Quality Check
-• Confirm both sets are adequate for comparison
-• Note any limitations affecting comparison
-
-2. Key Changes (Be Concise)
-• List significant changes between timepoints
-• Focus on progression or improvement
-• Quantify changes where possible
-
-3. Disease Status
-• State if condition is stable, improving, or worsening
-• Support with specific changes in findings
-• Indicate confidence in assessment
-
-4. Response to Treatment (if applicable)
-• Evaluate treatment effectiveness
-• Identify areas of resistance
-• Suggest if treatment modification needed
-
-5. Further Testing Required
-• Recommend additional tests based on observed changes
-• Explain urgency level for each test
-• Specify how results will impact treatment decisions
-• Include any needed referrals or consultations
-
-Do not describe unchanged features unless clinically relevant."""
-
-TREATMENT_GUIDELINES_PROMPT = """Based on the diagnosis and clinical findings, provide evidence-based treatment recommendations:
-
-1. First-Line Treatment
-• Specify recommended intervention
-• Include dosing/frequency if applicable
-• Note any contraindications
-
-2. Treatment Rationale
-• Link to current guidelines
-• Cite evidence level if available
-• Explain why this treatment is most appropriate
-
-3. Monitoring Plan
-• Follow-up interval
-• Key features to monitor
-• Treatment success criteria
-• Required testing schedule
-
-4. Alternative Options
-• List backup treatment options
-• Specify when to consider switching
-• Note relative advantages/disadvantages
-
-5. Concurrent Testing
-• Specify tests needed during treatment
-• Include monitoring frequency
-• List warning signs requiring immediate attention
-• Detail required baseline and follow-up testing
-
-Be specific and practical in recommendations."""
-
-def extract_pdf_text(pdf_file):
-    """Extract text from uploaded PDF file"""
-    pdf_reader = PyPDF2.PdfReader(pdf_file)
-    text = ""
-    for page in pdf_reader.pages:
-        text += page.extract_text()
-    return text
-
-def analyze_oct_images(images, timepoint=None, patient_data=None):
-    """Analyze OCT images with optional timepoint and patient data"""
-    if timepoint:
-        prompt = f"{SINGLE_TIMEPOINT_PROMPT}\n\nTimepoint: {timepoint}\n"
-    else:
-        prompt = f"{SINGLE_TIMEPOINT_PROMPT}\n"
-    
-    if patient_data:
-        prompt += f"\nPatient Information:\n{patient_data}\n"
-    
-    prompt += "\nPlease analyze these OCT scans:"
-    content = [prompt] + images
-    response = model.generate_content(content)
-    return response.text
-
-def compare_oct_timepoints(images1, date1, images2, date2, patient_data=None):
-    """Compare OCT images from two timepoints"""
-    prompt = f"{COMPARISON_PROMPT}\n\nTimepoint 1: {date1}\nTimepoint 2: {date2}\n"
-    
-    if patient_data:
-        prompt += f"\nPatient Information:\n{patient_data}\n"
-    
-    prompt += "\nPlease compare these OCT scans:"
-    content = [prompt] + images1 + images2
-    response = model.generate_content(content)
-    return response.text
-
-def get_treatment_recommendations(diagnosis, findings):
-    """Get treatment recommendations based on guidelines"""
-    prompt = f"{TREATMENT_GUIDELINES_PROMPT}\n\nDiagnosis: {diagnosis}\nFindings: {findings}"
-    response = model.generate_content(prompt)
-    return response.text
-
-def main():
-    # Header with custom styling
-    st.markdown("""
-        <div class="header-box">
-            <h1>OCT Retina Analysis Assistant</h1>
-            <p>Powered by Google Gemini AI</p>
-        </div>
-    """, unsafe_allow_html=True)
-
-    # Credits
-    st.markdown("""
-        <div class="credit-box">
-            <h3>About</h3>
-            <p>Developed by Dr. Fernando Ly</p>
-            <p>This tool assists in the analysis of OCT retina scans using advanced AI technology. 
-            It provides detailed layer analysis and potential diagnoses to support clinical decision-making.</p>
-            <p><strong>Note:</strong> This tool is for assistance only and should not replace professional medical judgment.</p>
-        </div>
-    """, unsafe_allow_html=True)
-    
-    # Main content
-    col1, col2 = st.columns([1, 1])
-    
-    with col1:
-        # Patient Data Section
-        st.markdown("### Patient Information")
-        patient_pdf = st.file_uploader("Upload Patient Data (PDF)", type=['pdf'])
-        patient_data = None
-        if patient_pdf:
-            patient_data = extract_pdf_text(patient_pdf)
-            with st.expander("View Patient Data"):
-                st.text(patient_data)
-        
-        # Scan Upload Section
-        st.markdown("### Upload OCT Scans")
-        timepoint_option = st.radio(
-            "Select scan type:",
-            ["Single Timepoint", "Two Timepoints for Comparison"]
-        )
-        
-        if timepoint_option == "Single Timepoint":
-            uploaded_files = st.file_uploader(
-                "Choose OCT scans", 
-                type=['png', 'jpg', 'jpeg'],
-                accept_multiple_files=True,
-                key="single_timepoint"
-            )
-            
-            if uploaded_files:
-                scan_date = st.date_input("Scan Date")
-                st.markdown("### Uploaded Scans")
-                images = []
-                for idx, uploaded_file in enumerate(uploaded_files):
-                    with st.expander(f"OCT Scan {idx + 1}", expanded=True):
-                        image = Image.open(uploaded_file)
-                        images.append(image)
-                        st.image(image, use_container_width=True, caption=f"OCT Scan {idx + 1}")
-                
-                if st.button("🔍 Analyze Scans"):
-                    with st.spinner("Analyzing OCT scans... Please wait."):
-                        try:
-                            analysis = analyze_oct_images(images, scan_date, patient_data)
-                            treatment_recs = get_treatment_recommendations(
-                                "Based on the analysis above",
-                                "See detailed findings above"
-                            )
-                            
-                            with col2:
-                                st.markdown("### Analysis Results")
-                                st.markdown(f"""
-                                    <div class="analysis-container">
-                                        {analysis.replace(chr(10), '<br>')}
-                                    </div>
-                                """, unsafe_allow_html=True)
-                                
-                                st.markdown("### Treatment Recommendations")
-                                st.markdown(f"""
-                                    <div class="analysis-container">
-                                        {treatment_recs.replace(chr(10), '<br>')}
-                                    </div>
-                                """, unsafe_allow_html=True)
-                                
-                        except Exception as e:
-                            st.error(f"An error occurred during analysis: {str(e)}")
-        
-        else:  # Two Timepoints
-            st.markdown("#### First Timepoint")
-            files1 = st.file_uploader(
-                "Choose first set of OCT scans", 
-                type=['png', 'jpg', 'jpeg'],
-                accept_multiple_files=True,
-                key="timepoint1"
-            )
-            date1 = st.date_input("First Scan Date")
-            
-            st.markdown("#### Second Timepoint")
-            files2 = st.file_uploader(
-                "Choose second set of OCT scans", 
-                type=['png', 'jpg', 'jpeg'],
-                accept_multiple_files=True,
-                key="timepoint2"
-            )
-            date2 = st.date_input("Second Scan Date")
-            
-            if files1 and files2:
-                st.markdown("### Uploaded Scans")
-                images1 = []
-                images2 = []
-                
-                st.markdown("#### First Timepoint Scans")
-                for idx, uploaded_file in enumerate(files1):
-                    with st.expander(f"OCT Scan {idx + 1} - First Timepoint", expanded=False):
-                        image = Image.open(uploaded_file)
-                        images1.append(image)
-                        st.image(image, use_container_width=True)
-                
-                st.markdown("#### Second Timepoint Scans")
-                for idx, uploaded_file in enumerate(files2):
-                    with st.expander(f"OCT Scan {idx + 1} - Second Timepoint", expanded=False):
-                        image = Image.open(uploaded_file)
-                        images2.append(image)
-                        st.image(image, use_container_width=True)
-                
-                if st.button("🔍 Compare Timepoints"):
-                    with st.spinner("Analyzing and comparing OCT scans... Please wait."):
-                        try:
-                            comparison = compare_oct_timepoints(
-                                images1, date1,
-                                images2, date2,
-                                patient_data
-                            )
-                            treatment_recs = get_treatment_recommendations(
-                                "Based on the comparison above",
-                                "See detailed findings above"
-                            )
-                            
-                            with col2:
-                                st.markdown("### Comparison Results")
-                                st.markdown(f"""
-                                    <div class="analysis-container">
-                                        {comparison.replace(chr(10), '<br>')}
-                                    </div>
-                                """, unsafe_allow_html=True)
-                                
-                                st.markdown("### Treatment Recommendations")
-                                st.markdown(f"""
-                                    <div class="analysis-container">
-                                        {treatment_recs.replace(chr(10), '<br>')}
-                                    </div>
-                                """, unsafe_allow_html=True)
-                                
-                        except Exception as e:
-                            st.error(f"An error occurred during analysis: {str(e)}")
-    
-    # Instructions in col2 if no files uploaded
-    if not (patient_pdf or (timepoint_option == "Single Timepoint" and uploaded_files) or 
-            (timepoint_option == "Two Timepoints for Comparison" and files1 and files2)):
-        with col2:
-            st.markdown("### Instructions")
-            st.markdown("""
-                1. Upload patient data PDF (optional)
-                2. Choose analysis type (single timepoint or comparison)
-                3. Upload OCT scans for selected timepoint(s)
-                4. Set scan dates
-                5. Click analyze/compare button
-                6. Review analysis and treatment recommendations
-                
-                Supported formats:
-                - Patient Data: PDF
-                - OCT Scans: PNG, JPG, JPEG
-            """)
-
-if __name__ == "__main__":
-    main()