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Update app.py
Browse files
app.py
CHANGED
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@@ -1,55 +1,34 @@
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from flask import Flask, render_template, request, jsonify, session, redirect
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import google.generativeai as genai
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import PyPDF2
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import os
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import re
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import io
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from datetime import datetime
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from twilio.rest import Client
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from reportlab.lib.pagesizes import letter
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from reportlab.lib import colors
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from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
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from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Image, ListItem, ListFlowable, Table, TableStyle
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from reportlab.lib.units import inch
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from reportlab.lib.enums import TA_CENTER, TA_JUSTIFY
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app = Flask(__name__)
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app.secret_key = '688ed745a74bdd7ac238f5b50f4104fb87d6774b8b0a4e06e7e18ac5ed0fa31c' # Add this for session management
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upload_folder = os.path.join(upload_base, 'uploads')
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pdf_folder = os.path.join(upload_base, 'pdfs')
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app.config['UPLOAD_FOLDER'] = upload_folder
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app.config['PDF_FOLDER'] = pdf_folder
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os.makedirs(upload_folder, exist_ok=True)
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os.makedirs(pdf_folder, exist_ok=True)
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# Store patient care plans in memory (would be a database in production)
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if not hasattr(app, 'patient_care_plans'):
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app.patient_care_plans = []
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if not hasattr(app, 'emergency_notifications'):
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app.emergency_notifications = []
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# Gemini API Configuration
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genai.configure(api_key="
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generation_config = {
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"temperature": 1,
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"top_p": 0.95,
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"top_k": 40,
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"max_output_tokens": 8192,
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}
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model = genai.GenerativeModel(
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model_name="gemini-2.0-flash",
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generation_config=generation_config,
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)
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# Twilio Configuration
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ACCOUNT_SID = 'AC490e071f8d01bf0df2f03d086c788d87'
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AUTH_TOKEN = '224b23b950ad5a4052aba15893fdf083'
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TWILIO_FROM = 'whatsapp:+14155238886'
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PATIENT_PHONE = 'whatsapp:+917559355282' # Hardcoded patient phone number
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def extract_text_from_pdf(pdf_file):
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try:
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@@ -62,16 +41,17 @@ def extract_text_from_pdf(pdf_file):
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print(f"Error extracting PDF text: {e}")
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return ""
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def extract_care_plan_format(pdf_text):
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"""Extract the care plan format from PDF text"""
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try:
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# Find sections and their content in the PDF using regex
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sections = re.findall(
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r'([A-Z][A-Z\s]+):(
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pdf_text,
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re.DOTALL
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)
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if sections:
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format_template = ""
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for section, content in sections:
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@@ -88,279 +68,33 @@ def extract_care_plan_format(pdf_text):
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print(f"Error extracting format: {e}")
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return None
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def create_care_plan_pdf(care_plan_text, patient_name="Patient"):
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"""Generate a beautifully formatted PDF with the care plan"""
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buffer = io.BytesIO()
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doc = SimpleDocTemplate(buffer, pagesize=letter)
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styles = getSampleStyleSheet()
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# Create custom styles
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styles.add(ParagraphStyle(
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name='Title',
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parent=styles['Heading1'],
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fontSize=18,
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alignment=TA_CENTER,
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spaceAfter=20,
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textColor=colors.HexColor('#0d6efd')
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))
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styles.add(ParagraphStyle(
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name='SectionHeading',
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parent=styles['Heading2'],
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fontSize=14,
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spaceAfter=6,
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spaceBefore=12,
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textColor=colors.HexColor('#0a58ca')
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))
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styles.add(ParagraphStyle(
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name='BodyText',
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parent=styles['Normal'],
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fontSize=11,
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alignment=TA_JUSTIFY,
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spaceBefore=2,
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spaceAfter=2
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))
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# Create story elements
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story = []
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# Add title with logo
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timestamp = datetime.now().strftime("%B %d, %Y")
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title = Paragraph(f"UPDATED CARE PLAN<br/><br/>{timestamp}", styles["Title"])
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story.append(title)
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story.append(Spacer(1, 0.25*inch))
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# Patient name
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patient_info = Paragraph(f"<b>Patient:</b> {patient_name}", styles["BodyText"])
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story.append(patient_info)
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story.append(Spacer(1, 0.15*inch))
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# Process care plan sections
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sections = care_plan_text.split("\n\n")
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for section in sections:
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if not section.strip():
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continue
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lines = section.strip().split("\n")
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if not lines:
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continue
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# Add section heading
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heading_line = lines[0].strip()
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if ":" in heading_line:
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heading = heading_line.split(":", 1)[0].strip()
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story.append(Paragraph(heading, styles["SectionHeading"]))
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# Process bullet points and content
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content_lines = lines[1:] if len(lines) > 1 else []
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bullet_items = []
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normal_text = ""
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for line in content_lines:
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line = line.strip()
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if line.startswith("-") or line.startswith("•"):
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bullet_text = line[1:].strip()
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bullet_items.append(ListItem(Paragraph(bullet_text, styles["BodyText"])))
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elif line: # Only add non-empty lines
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normal_text += line + " "
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# Add normal text if present
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if normal_text:
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story.append(Paragraph(normal_text, styles["BodyText"]))
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# Add bullet points if present
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if bullet_items:
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bullet_list = ListFlowable(
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bullet_items,
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bulletType='bullet',
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start=None,
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bulletFontName='Helvetica',
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bulletFontSize=11,
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leftIndent=20,
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bulletOffsetY=0
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)
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story.append(bullet_list)
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story.append(Spacer(1, 0.1*inch))
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# Add footer
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footer_text = """This care plan has been automatically generated based on patient feedback. Please consult with your healthcare provider before making any changes to your current treatment plan."""
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footer = Paragraph(f"<i>{footer_text}</i>", styles["BodyText"])
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story.append(Spacer(1, 0.25*inch))
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story.append(footer)
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# Build PDF
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doc.build(story)
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buffer.seek(0)
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return buffer
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def send_whatsapp_message(message, recipient=PATIENT_PHONE, pdf_data=None, pdf_name=None):
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"""
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Sends a WhatsApp message using Twilio.
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If pdf_data is provided, it attaches the PDF to the message.
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"""
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try:
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client = Client(ACCOUNT_SID, AUTH_TOKEN)
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# Check if recipient needs WhatsApp prefix
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if not recipient.startswith('whatsapp:'):
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recipient = f'whatsapp:{recipient}'
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message_params = {
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'from_': TWILIO_FROM,
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'body': message,
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'to': recipient
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}
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# If we have a PDF to send, attach it
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if pdf_data and pdf_name:
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# Create a temporary file
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temp_pdf_path = os.path.join(app.config['PDF_FOLDER'], pdf_name)
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with open(temp_pdf_path, 'wb') as f:
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f.write(pdf_data.getvalue())
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# In a production environment, we would use a proper URL
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# For now, inform the user that the PDF would be attached
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message_params['body'] += "\n\nYour care plan PDF has been generated and would normally be attached here. Please check the web interface to download it."
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msg = client.messages.create(**message_params)
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return {
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'success': True,
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'sid': msg.sid
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}
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except Exception as e:
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print(f"Error sending WhatsApp message: {e}")
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return {
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'success': False,
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'error': str(e)
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}
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def determine_status(feedback, old_plan, new_plan):
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"""
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Determine status of patient based on feedback and comparison of plans
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Returns: 'emergency', 'warning', or 'normal'
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"""
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# Emergency keywords to check for severe symptoms
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emergency_keywords = [
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# Cardiovascular
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"severe chest pain", "heart attack", "shortness of breath",
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"dizziness", "loss of consciousness", "extreme pain",
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# Neurological
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"sudden weakness", "confusion", "slurred speech", "severe headache",
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# Respiratory
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"difficulty breathing", "severe shortness of breath", "wheezing", "respiratory distress",
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# Gastrointestinal
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"severe abdominal pain", "persistent vomiting", "uncontrolled bleeding",
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# Others
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"severe allergic reaction", "anaphylaxis"
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]
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# Warning keywords for concerning but not emergency conditions
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warning_keywords = [
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"pain", "worsening", "not improving", "getting worse", "fever",
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"nausea", "vomiting", "rash", "diarrhea", "discomfort",
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"fatigue", "headache", "increase", "swelling", "irregular"
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]
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feedback_lower = feedback.lower()
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# Check for emergency conditions first
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if any(keyword in feedback_lower for keyword in emergency_keywords):
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return "emergency"
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# Check for warning conditions
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if any(keyword in feedback_lower for keyword in warning_keywords):
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return "warning"
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# Compare old and new plans to detect significant changes
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if old_plan and new_plan:
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# Use Gemini to compare the plans
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comparison_prompt = f"""
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Compare these two care plans and tell me if there are significant changes
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that might indicate the patient's condition is deteriorating or improving.
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Answer only with a single word: "improved", "deteriorated", or "stable".
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Original care plan:
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{old_plan}
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Updated care plan:
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{new_plan}
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"""
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try:
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response = model.generate_content(comparison_prompt)
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comparison_result = response.text.strip().lower()
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if "deteriorated" in comparison_result:
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return "warning"
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elif "improved" in comparison_result:
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return "normal"
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else:
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return "normal"
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except Exception as e:
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print(f"Error comparing plans: {e}")
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return "normal"
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return "normal"
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@app.route('/')
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def index():
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return render_template('index.html')
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@app.route('/switch_role', methods=['POST'])
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def switch_role():
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role = request.form.get('role')
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session['role'] = role
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return jsonify({'success': True, 'role': role})
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@app.route('/doctor_dashboard')
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def doctor_dashboard():
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if session.get('role') != 'doctor':
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return redirect('/')
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return render_template('doctor_dashboard.html')
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@app.route('/download_pdf/<filename>')
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def download_pdf(filename):
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try:
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return send_file(
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os.path.join(app.config['PDF_FOLDER'], filename),
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as_attachment=True,
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download_name=filename
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)
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except Exception as e:
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return jsonify({'success': False, 'error': str(e)})
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@app.route('/get_care_plan_details/<plan_id>')
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def get_care_plan_details(plan_id):
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try:
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care_plans = getattr(app, 'patient_care_plans', [])
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plan = next((p for p in care_plans if p.get('id') == plan_id), None)
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if not plan:
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return jsonify({'success': False, 'error': 'Care plan not found'})
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return jsonify({
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'success': True,
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'plan': plan
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})
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except Exception as e:
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return jsonify({'success': False, 'error': str(e)})
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@app.route('/submit_feedback', methods=['POST'])
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def submit_feedback():
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try:
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feedback = request.form.get('feedback', '')
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patient_name = request.form.get('patient_name', 'Patient')
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patient_phone = PATIENT_PHONE # Use the hardcoded phone number
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care_plan_text = ""
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care_plan_format = None
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if 'care_plan_pdf' in request.files:
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pdf_file = request.files['care_plan_pdf']
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if pdf_file.filename != '':
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if not care_plan_format:
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care_plan_format = """
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ASSESSMENT:
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DAILY CARE PLAN:
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MEDICATIONS:
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- Medication details
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ADDITIONAL RECOMMENDATIONS:
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- Recommendations
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FOLLOW-UP:
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"""
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is_emergency = (status == "emergency")
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if is_emergency:
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# Store emergency notification
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emergency_data = {
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'id': datetime.now().strftime("%Y%m%d%H%M%S"),
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'patient_name': patient_name,
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'patient_phone': patient_phone,
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'patient_feedback': feedback,
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'timestamp': datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
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'status': '
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}
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if not hasattr(app, 'emergency_notifications'):
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app.emergency_notifications = []
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app.emergency_notifications.append(emergency_data)
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@@ -411,118 +160,49 @@ FOLLOW-UP:
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emergency_message = (
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"Emergency symptoms detected. Please call emergency services immediately at 104/108/109/112."
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)
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# Send emergency message to patient
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send_whatsapp_message(
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message=emergency_message,
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recipient=patient_phone
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)
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return jsonify({
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'success': True,
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'is_emergency': True,
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| 424 |
-
'status': 'emergency',
|
| 425 |
'updated_plan': emergency_message
|
| 426 |
})
|
| 427 |
|
| 428 |
-
# Prepare a prompt for Gemini AI
|
| 429 |
prompt = f"""
|
| 430 |
Patient Care Plan Update Request:
|
| 431 |
-
Patient Name: {patient_name}
|
| 432 |
Current Symptoms and Feedback: {feedback}
|
| 433 |
Current Care Plan (extracted from PDF): {care_plan_text}
|
| 434 |
-
|
| 435 |
-
Based on the patient's feedback and current care plan, please provide an updated, comprehensive daily care plan in the exact following format:
|
| 436 |
{care_plan_format}
|
| 437 |
-
|
| 438 |
Please ensure the following:
|
| 439 |
-
|
| 440 |
-
|
| 441 |
-
|
| 442 |
-
|
| 443 |
-
5. Be specific and detailed with recommendations.
|
| 444 |
"""
|
| 445 |
-
|
| 446 |
# Get response from Gemini AI
|
| 447 |
response = model.generate_content(prompt)
|
| 448 |
-
|
| 449 |
# Remove any asterisk symbols from the response text
|
| 450 |
updated_plan = response.text.replace("*", "")
|
| 451 |
-
|
| 452 |
-
# Determine status based on feedback and plan comparison
|
| 453 |
-
status = determine_status(feedback, care_plan_text, updated_plan)
|
| 454 |
-
|
| 455 |
-
# Generate PDF
|
| 456 |
-
pdf_buffer = create_care_plan_pdf(updated_plan, patient_name)
|
| 457 |
-
|
| 458 |
-
# Save the PDF to file system with a unique name
|
| 459 |
-
timestamp = datetime.now().strftime("%Y%m%d%H%M%S")
|
| 460 |
-
safe_name = re.sub(r'[^a-zA-Z0-9]', '_', patient_name)
|
| 461 |
-
pdf_filename = f"care_plan_{safe_name}_{timestamp}.pdf"
|
| 462 |
-
pdf_path = os.path.join(app.config['PDF_FOLDER'], pdf_filename)
|
| 463 |
-
|
| 464 |
-
with open(pdf_path, 'wb') as f:
|
| 465 |
-
f.write(pdf_buffer.getvalue())
|
| 466 |
-
|
| 467 |
-
# Reset the buffer pointer for potential reuse
|
| 468 |
-
pdf_buffer.seek(0)
|
| 469 |
-
|
| 470 |
-
# Store care plan data
|
| 471 |
-
care_plan_data = {
|
| 472 |
-
'id': timestamp,
|
| 473 |
-
'patient_name': patient_name,
|
| 474 |
-
'original_plan': care_plan_text,
|
| 475 |
-
'updated_plan': updated_plan,
|
| 476 |
-
'feedback': feedback,
|
| 477 |
-
'timestamp': datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
|
| 478 |
-
'pdf_filename': pdf_filename,
|
| 479 |
-
'status': status
|
| 480 |
-
}
|
| 481 |
-
|
| 482 |
-
if not hasattr(app, 'patient_care_plans'):
|
| 483 |
-
app.patient_care_plans = []
|
| 484 |
-
app.patient_care_plans.append(care_plan_data)
|
| 485 |
-
|
| 486 |
-
# Send WhatsApp message with PDF
|
| 487 |
-
message_result = send_whatsapp_message(
|
| 488 |
-
message=f"Hello {patient_name}, your updated care plan is ready based on your feedback. Please review it and contact your healthcare provider if you have any questions.",
|
| 489 |
-
recipient=patient_phone,
|
| 490 |
-
pdf_data=pdf_buffer,
|
| 491 |
-
pdf_name=pdf_filename
|
| 492 |
-
)
|
| 493 |
-
|
| 494 |
return jsonify({
|
| 495 |
'success': True,
|
| 496 |
-
'updated_plan': updated_plan
|
| 497 |
-
'pdf_filename': pdf_filename,
|
| 498 |
-
'message_sent': message_result['success'] if message_result else False,
|
| 499 |
-
'is_emergency': False,
|
| 500 |
-
'status': status
|
| 501 |
})
|
| 502 |
-
|
| 503 |
except Exception as e:
|
| 504 |
-
import traceback
|
| 505 |
-
traceback.print_exc()
|
| 506 |
return jsonify({
|
| 507 |
'success': False,
|
| 508 |
'error': str(e)
|
| 509 |
})
|
| 510 |
|
|
|
|
| 511 |
@app.route('/get_emergency_notifications')
|
| 512 |
def get_emergency_notifications():
|
| 513 |
if session.get('role') != 'doctor':
|
| 514 |
return jsonify({'success': False, 'error': 'Unauthorized'})
|
| 515 |
-
|
| 516 |
notifications = getattr(app, 'emergency_notifications', [])
|
| 517 |
return jsonify({'success': True, 'notifications': notifications})
|
| 518 |
|
| 519 |
-
@app.route('/get_patient_care_plans')
|
| 520 |
-
def get_patient_care_plans():
|
| 521 |
-
if session.get('role') != 'doctor':
|
| 522 |
-
return jsonify({'success': False, 'error': 'Unauthorized'})
|
| 523 |
-
|
| 524 |
-
care_plans = getattr(app, 'patient_care_plans', [])
|
| 525 |
-
return jsonify({'success': True, 'care_plans': care_plans})
|
| 526 |
|
| 527 |
if __name__ == '__main__':
|
| 528 |
app.run(debug=True)
|
|
|
|
| 1 |
+
from flask import Flask, render_template, request, jsonify, session, redirect
|
| 2 |
import google.generativeai as genai
|
| 3 |
import PyPDF2
|
| 4 |
import os
|
| 5 |
import re
|
|
|
|
| 6 |
from datetime import datetime
|
|
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|
| 7 |
|
| 8 |
app = Flask(__name__)
|
|
|
|
| 9 |
|
| 10 |
+
app.secret_key = '688ed745a74bdd7ac238f5b50f4104fb87d6774b8b0a4e06e7e18ac5ed0fa31c' # Add this for session management
|
| 11 |
+
upload_base = os.getenv('UPLOAD_DIR')
|
| 12 |
upload_folder = os.path.join(upload_base, 'uploads')
|
|
|
|
|
|
|
|
|
|
| 13 |
|
| 14 |
+
app.config['UPLOAD_FOLDER'] = upload_folder
|
| 15 |
os.makedirs(upload_folder, exist_ok=True)
|
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|
| 16 |
|
| 17 |
# Gemini API Configuration
|
| 18 |
+
genai.configure(api_key="AIzaSyD54ejbjVIVa-F3aD_Urnp8m1EFLUGR__I")
|
| 19 |
+
|
| 20 |
generation_config = {
|
| 21 |
"temperature": 1,
|
| 22 |
"top_p": 0.95,
|
| 23 |
"top_k": 40,
|
| 24 |
"max_output_tokens": 8192,
|
| 25 |
}
|
| 26 |
+
|
| 27 |
model = genai.GenerativeModel(
|
| 28 |
model_name="gemini-2.0-flash",
|
| 29 |
generation_config=generation_config,
|
| 30 |
)
|
| 31 |
|
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|
|
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|
|
|
|
|
| 32 |
|
| 33 |
def extract_text_from_pdf(pdf_file):
|
| 34 |
try:
|
|
|
|
| 41 |
print(f"Error extracting PDF text: {e}")
|
| 42 |
return ""
|
| 43 |
|
| 44 |
+
|
| 45 |
def extract_care_plan_format(pdf_text):
|
| 46 |
"""Extract the care plan format from PDF text"""
|
| 47 |
try:
|
| 48 |
# Find sections and their content in the PDF using regex
|
| 49 |
sections = re.findall(
|
| 50 |
+
r'([A-Z][A-Z\s]+)[:|\n]((?:(?!\n[A-Z][A-Z\s]+[:|\n]).)*)',
|
| 51 |
pdf_text,
|
| 52 |
re.DOTALL
|
| 53 |
)
|
| 54 |
+
|
| 55 |
if sections:
|
| 56 |
format_template = ""
|
| 57 |
for section, content in sections:
|
|
|
|
| 68 |
print(f"Error extracting format: {e}")
|
| 69 |
return None
|
| 70 |
|
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|
|
| 71 |
|
| 72 |
@app.route('/')
|
| 73 |
def index():
|
| 74 |
return render_template('index.html')
|
| 75 |
|
| 76 |
+
|
| 77 |
@app.route('/switch_role', methods=['POST'])
|
| 78 |
def switch_role():
|
| 79 |
role = request.form.get('role')
|
| 80 |
session['role'] = role
|
| 81 |
return jsonify({'success': True, 'role': role})
|
| 82 |
|
| 83 |
+
|
| 84 |
@app.route('/doctor_dashboard')
|
| 85 |
def doctor_dashboard():
|
| 86 |
if session.get('role') != 'doctor':
|
| 87 |
return redirect('/')
|
| 88 |
return render_template('doctor_dashboard.html')
|
| 89 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 90 |
|
| 91 |
@app.route('/submit_feedback', methods=['POST'])
|
| 92 |
def submit_feedback():
|
| 93 |
try:
|
| 94 |
feedback = request.form.get('feedback', '')
|
|
|
|
|
|
|
|
|
|
| 95 |
care_plan_text = ""
|
| 96 |
care_plan_format = None
|
| 97 |
+
|
| 98 |
if 'care_plan_pdf' in request.files:
|
| 99 |
pdf_file = request.files['care_plan_pdf']
|
| 100 |
if pdf_file.filename != '':
|
|
|
|
| 105 |
if not care_plan_format:
|
| 106 |
care_plan_format = """
|
| 107 |
ASSESSMENT:
|
| 108 |
+
[Assessment details]
|
|
|
|
| 109 |
DAILY CARE PLAN:
|
| 110 |
+
Morning:
|
| 111 |
+
- [Morning activities]
|
| 112 |
+
Afternoon:
|
| 113 |
+
- [Afternoon activities]
|
| 114 |
+
Evening:
|
| 115 |
+
- [Evening activities]
|
| 116 |
MEDICATIONS:
|
| 117 |
+
- [Medication details]
|
|
|
|
| 118 |
ADDITIONAL RECOMMENDATIONS:
|
| 119 |
+
- [Recommendations]
|
|
|
|
| 120 |
FOLLOW-UP:
|
| 121 |
+
[Follow-up details]
|
| 122 |
+
"""
|
| 123 |
+
|
| 124 |
+
# Define emergency keywords to check for severe symptoms
|
| 125 |
+
emergency_keywords = [
|
| 126 |
+
# Cardiovascular
|
| 127 |
+
"severe chest pain", "heart attack", "shortness of breath",
|
| 128 |
+
"dizziness", "loss of consciousness", "extreme pain",
|
| 129 |
+
|
| 130 |
+
# Neurological
|
| 131 |
+
"sudden weakness", "confusion", "slurred speech", "severe headache",
|
| 132 |
+
|
| 133 |
+
# Respiratory
|
| 134 |
+
"difficulty breathing", "severe shortness of breath", "wheezing", "respiratory distress",
|
| 135 |
+
|
| 136 |
+
# Gastrointestinal
|
| 137 |
+
"severe abdominal pain", "persistent vomiting", "uncontrolled bleeding",
|
| 138 |
+
|
| 139 |
+
# Others
|
| 140 |
+
"severe allergic reaction", "anaphylaxis"
|
| 141 |
+
]
|
| 142 |
|
| 143 |
+
feedback_lower = feedback.lower()
|
| 144 |
+
is_emergency = any(keyword in feedback_lower for keyword in emergency_keywords)
|
|
|
|
| 145 |
|
| 146 |
if is_emergency:
|
| 147 |
# Store emergency notification
|
| 148 |
emergency_data = {
|
|
|
|
|
|
|
|
|
|
| 149 |
'patient_feedback': feedback,
|
| 150 |
'timestamp': datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
|
| 151 |
+
'status': 'urgent'
|
| 152 |
}
|
| 153 |
+
# In a real application, you would store this in a database
|
| 154 |
+
# For now, we'll use a global variable (not recommended for production)
|
| 155 |
if not hasattr(app, 'emergency_notifications'):
|
| 156 |
app.emergency_notifications = []
|
| 157 |
app.emergency_notifications.append(emergency_data)
|
|
|
|
| 160 |
emergency_message = (
|
| 161 |
"Emergency symptoms detected. Please call emergency services immediately at 104/108/109/112."
|
| 162 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 163 |
return jsonify({
|
| 164 |
'success': True,
|
|
|
|
|
|
|
| 165 |
'updated_plan': emergency_message
|
| 166 |
})
|
| 167 |
|
| 168 |
+
# Prepare a prompt for Gemini AI for a perfect, attractively formatted day care plan.
|
| 169 |
prompt = f"""
|
| 170 |
Patient Care Plan Update Request:
|
|
|
|
| 171 |
Current Symptoms and Feedback: {feedback}
|
| 172 |
Current Care Plan (extracted from PDF): {care_plan_text}
|
| 173 |
+
Based on the patient's feedback and current care plan, please provide an updated, perfect daily care plan in the exact following format:
|
|
|
|
| 174 |
{care_plan_format}
|
|
|
|
| 175 |
Please ensure the following:
|
| 176 |
+
- The response is well-structured with clear section headings.
|
| 177 |
+
- Use bullet points for list items without including any asterisk (*) symbols.
|
| 178 |
+
- Format the text attractively and professionally.
|
| 179 |
+
- Remove any extraneous symbols.
|
|
|
|
| 180 |
"""
|
|
|
|
| 181 |
# Get response from Gemini AI
|
| 182 |
response = model.generate_content(prompt)
|
|
|
|
| 183 |
# Remove any asterisk symbols from the response text
|
| 184 |
updated_plan = response.text.replace("*", "")
|
| 185 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 186 |
return jsonify({
|
| 187 |
'success': True,
|
| 188 |
+
'updated_plan': updated_plan
|
|
|
|
|
|
|
|
|
|
|
|
|
| 189 |
})
|
| 190 |
+
|
| 191 |
except Exception as e:
|
|
|
|
|
|
|
| 192 |
return jsonify({
|
| 193 |
'success': False,
|
| 194 |
'error': str(e)
|
| 195 |
})
|
| 196 |
|
| 197 |
+
|
| 198 |
@app.route('/get_emergency_notifications')
|
| 199 |
def get_emergency_notifications():
|
| 200 |
if session.get('role') != 'doctor':
|
| 201 |
return jsonify({'success': False, 'error': 'Unauthorized'})
|
| 202 |
+
|
| 203 |
notifications = getattr(app, 'emergency_notifications', [])
|
| 204 |
return jsonify({'success': True, 'notifications': notifications})
|
| 205 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 206 |
|
| 207 |
if __name__ == '__main__':
|
| 208 |
app.run(debug=True)
|