Works for now

app.py

@@ -1,4 +1,4 @@
-# app.py (updated)
+# app.py (final version)
 from flask import Flask, render_template, request, redirect, url_for, session, flash
 from flask_sqlalchemy import SQLAlchemy
 from datetime import datetime
@@ -37,8 +37,6 @@ with app.app_context():
 
 @app.route('/')
 def index():
-    if 'user_id' in session:
-        return redirect(url_for('dashboard'))
     return render_template('index.html')
 
 @app.route('/register', methods=['GET', 'POST'])
@@ -180,15 +178,13 @@ def delete_record(record_id):
 
 @app.route('/predict_diseases', methods=['POST'])
 def predict_diseases():
-    if 'user_id' not in session:
-        return redirect(url_for('login'))
-    
+    # Make this endpoint publicly accessible
     current_disease = request.form['current_disease'].strip()
     
     # In a real application, this would process the data and generate predictions
     # For demonstration, we'll just simulate the result based on some common patterns
     
-    # Get all health records to analyze correlations
+    # Get all health records to analyze correlations (no user session required)
     all_records = HealthRecord.query.all()
     
     # Simple correlation analysis (would be more complex in reality)