app.py

"""
Synthex Medical Text Generator - MVP Streamlit App
Deploy this on Hugging Face Spaces for free hosting
"""

import streamlit as st
import json
import time
from datetime import datetime
import pandas as pd
import os
import sys
import logging

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Add src directory to Python path
sys.path.append(os.path.join(os.path.dirname(__file__), 'src'))

# Import the medical generator
from src.generation.medical_generator import MedicalTextGenerator, DEFAULT_GEMINI_API_KEY

# Page config
st.set_page_config(
    page_title="Synthex Medical Text Generator",
    page_icon="🏥",
    layout="wide",
    initial_sidebar_state="expanded"
)

# Custom CSS
st.markdown("""
<style>
/* Main container styling */
.main {
    padding: 2rem;
    background-color: #f8f9fa;
}

/* Header styling */
.main-header {
    font-size: 2.5rem;
    font-weight: bold;
    color: #1f77b4;
    text-align: center;
    margin-bottom: 1rem;
    padding: 1rem;
    background: linear-gradient(135deg, #1f77b4 0%, #2c9cdb 100%);
    color: white;
    border-radius: 10px;
    box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
}

.sub-header {
    font-size: 1.2rem;
    color: #666;
    text-align: center;
    margin-bottom: 2rem;
    padding: 0.5rem;
}

/* Card styling */
.record-container {
    background-color: white;
    padding: 1.5rem;
    border-radius: 10px;
    border-left: 4px solid #1f77b4;
    margin: 1rem 0;
    box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
    transition: transform 0.2s;
}

.record-container:hover {
    transform: translateY(-2px);
    box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}

/* Stats container styling */
.stats-container {
    background-color: white;
    padding: 1.5rem;
    border-radius: 10px;
    margin: 1rem 0;
    box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
}

/* Button styling */
.stButton>button {
    width: 100%;
    border-radius: 5px;
    height: 3em;
    font-weight: bold;
    transition: all 0.3s;
}

.stButton>button:hover {
    transform: translateY(-2px);
    box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}

/* Metric styling */
.stMetric {
    background-color: #f8f9fa;
    padding: 1rem;
    border-radius: 5px;
    text-align: center;
}

/* Sidebar styling */
.sidebar .sidebar-content {
    background-color: #f8f9fa;
}

/* Progress bar styling */
.stProgress > div > div {
    background-color: #1f77b4;
}

/* Success message styling */
.stSuccess {
    padding: 1rem;
    border-radius: 5px;
    background-color: #d4edda;
    color: #155724;
    margin: 1rem 0;
}

/* Error message styling */
.stError {
    padding: 1rem;
    border-radius: 5px;
    background-color: #f8d7da;
    color: #721c24;
    margin: 1rem 0;
}

/* Expander styling */
.streamlit-expanderHeader {
    font-size: 1.1rem;
    font-weight: bold;
    color: #1f77b4;
}

/* Text area styling */
.stTextArea textarea {
    font-family: monospace;
    font-size: 0.9rem;
    line-height: 1.5;
}
</style>
""", unsafe_allow_html=True)

# Initialize session state
if 'generated_records' not in st.session_state:
    st.session_state.generated_records = []
if 'total_generated' not in st.session_state:
    st.session_state.total_generated = 0
if 'generator' not in st.session_state:
    st.session_state.generator = None

# Header
st.markdown('<div class="main-header">🏥 Synthex Medical Text Generator</div>', unsafe_allow_html=True)
st.markdown('<div class="sub-header">Generate synthetic medical records for AI training and testing</div>', unsafe_allow_html=True)

# Add a status message area
status_area = st.empty()

# Sidebar
with st.sidebar:
    st.markdown("### ⚙️ Configuration")
    
    # API Key section
    with st.expander("🔑 API Settings", expanded=False):
        gemini_api_key = st.text_input(
            "Gemini API Key", 
            value=os.getenv('GEMINI_API_KEY', ''),
            type="password",
            help="Enter your Google Gemini API key for better generation quality"
        )
    
    # Record settings
    st.markdown("### 📝 Record Settings")
    record_type = st.selectbox(
        "Select Record Type",
        ["clinical_note", "discharge_summary", "lab_report", "prescription", "patient_intake"],
        format_func=lambda x: x.replace("_", " ").title()
    )
    
    quantity = st.slider("Number of Records", 1, 20, 5)
    
    # Generation settings
    st.markdown("### 🤖 Generation Settings")
    use_gemini = st.checkbox(
        "Use Gemini API", 
        value=False,
        help="Uses Google Gemini API for better quality generation"
    )
    
    # Advanced options
    with st.expander("⚡ Advanced Options"):
        include_metadata = st.checkbox("Include Metadata", value=True)
        export_format = st.selectbox("Export Format", ["JSON", "CSV", "TXT"])

# Main content with better organization
col1, col2 = st.columns([2, 1])

with col1:
    st.markdown("### 📝 Generate Records")
    
    # Generation button with better styling
    if st.button("🚀 Generate Records", type="primary", use_container_width=True):
        status_area.info("Initializing generator...")
        
        # Initialize generator if not already done
        if st.session_state.generator is None:
            try:
                with st.spinner("Initializing medical text generator..."):
                    st.session_state.generator = MedicalTextGenerator(gemini_api_key=gemini_api_key)
                status_area.success("Generator initialized successfully!")
            except Exception as e:
                status_area.error(f"Error initializing generator: {str(e)}")
                st.stop()
        
        # Generate records with progress
        progress_bar = st.progress(0)
        status_text = st.empty()
        
        generated_records = []
        
        for i in range(quantity):
            status_text.text(f"Generating record {i+1} of {quantity}...")
            progress_bar.progress((i + 1) / quantity)
            
            try:
                record = st.session_state.generator.generate_record(record_type, use_gemini=use_gemini)
                generated_records.append(record)
                
                # Rate limiting
                if use_gemini:
                    time.sleep(1)
                    
            except Exception as e:
                logger.error(f"Failed to generate record {i+1}: {str(e)}")
                status_area.error(f"Failed to generate record {i+1}: {str(e)}")
                continue
        
        # Update session state
        if generated_records:
            st.session_state.generated_records.extend(generated_records)
            st.session_state.total_generated += len(generated_records)
            
            status_text.text("✅ Generation complete!")
            progress_bar.progress(1.0)
            
            status_area.success(f"Successfully generated {len(generated_records)} medical records!")
    
    # Display generated records with better organization
    if st.session_state.generated_records:
        st.markdown("### 📋 Generated Records")
        
        # Filters with better layout
        col_filter1, col_filter2 = st.columns(2)
        with col_filter1:
            filter_type = st.selectbox(
                "Filter by Type", 
                ["All"] + list(set([r.get('type', 'Unknown') for r in st.session_state.generated_records]))
            )
        with col_filter2:
            records_per_page = st.selectbox("Records per page", [5, 10, 20, 50])
        
        # Filter records
        filtered_records = st.session_state.generated_records
        if filter_type != "All":
            filtered_records = [r for r in filtered_records if r.get('type', 'Unknown') == filter_type]
        
        # Pagination
        total_records = len(filtered_records)
        total_pages = (total_records - 1) // records_per_page + 1
        
        if total_pages > 1:
            page = st.selectbox("Page", range(1, total_pages + 1))
            start_idx = (page - 1) * records_per_page
            end_idx = start_idx + records_per_page
            page_records = filtered_records[start_idx:end_idx]
        else:
            page_records = filtered_records
        
        # Display records with better styling
        for i, record in enumerate(page_records):
            with st.expander(f"Record {record.get('id', 'Unknown')} - {record.get('type', 'Unknown').replace('_', ' ').title()}"):
                if include_metadata:
                    col_meta1, col_meta2, col_meta3 = st.columns(3)
                    with col_meta1:
                        st.metric("Type", record.get('type', 'Unknown').replace('_', ' ').title())
                    with col_meta2:
                        st.metric("Generated", record.get('timestamp', 'N/A'))
                    with col_meta3:
                        st.metric("Source", record.get('source', 'Hugging Face'))
                
                st.markdown('<div class="record-container">', unsafe_allow_html=True)
                st.text_area("Content", record.get('text', 'No content available'), height=200, key=f"record_{i}")
                st.markdown('</div>', unsafe_allow_html=True)

with col2:
    st.markdown("### 📊 Statistics")
    
    # Stats container with better styling
    st.markdown('<div class="stats-container">', unsafe_allow_html=True)
    
    # Total records
    st.metric("Total Records Generated", st.session_state.total_generated)
    
    # Record type distribution with better visualization
    if st.session_state.generated_records:
        type_counts = pd.Series([r.get('type', 'Unknown') for r in st.session_state.generated_records]).value_counts()
        st.markdown("#### Record Type Distribution")
        st.bar_chart(type_counts)
    
    # Export options with better organization
    st.markdown("#### 💾 Export Data")
    if st.session_state.generated_records:
        if export_format == "JSON":
            json_str = json.dumps(st.session_state.generated_records, indent=2)
            st.download_button(
                "📥 Download JSON",
                json_str,
                file_name=f"medical_records_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json",
                mime="application/json",
                use_container_width=True
            )
        elif export_format == "CSV":
            df = pd.DataFrame(st.session_state.generated_records)
            csv = df.to_csv(index=False)
            st.download_button(
                "📥 Download CSV",
                csv,
                file_name=f"medical_records_{datetime.now().strftime('%Y%m%d_%H%M%S')}.csv",
                mime="text/csv",
                use_container_width=True
            )
        elif export_format == "TXT":
            txt = "\n\n".join([f"Record {r.get('id', 'Unknown')} ({r.get('type', 'Unknown')}):\n{r.get('text', 'No content available')}" for r in st.session_state.generated_records])
            st.download_button(
                "📥 Download TXT",
                txt,
                file_name=f"medical_records_{datetime.now().strftime('%Y%m%d_%H%M%S')}.txt",
                mime="text/plain",
                use_container_width=True
            )
    
    st.markdown('</div>', unsafe_allow_html=True)

# Add a footer
st.markdown("---")
st.markdown("""
<div style='text-align: center; color: #666;'>
    <p>Built with ❤️ using Streamlit | Synthex Medical Text Generator</p>
</div>
""", unsafe_allow_html=True)