Anuj feature

app.py

@@ -0,0 +1,132 @@
+# app.py
+import os
+import pickle
+import joblib
+import numpy as np 
+
+from flask import Flask, render_template, request
+
+app = Flask(__name__)
+
+@app.route("/")
+def enter():
+    return render_template("enter.html")
+
+@app.route("/welcome")
+def welcome():
+    return render_template("welcome.html")
+
+@app.route("/form", methods=['GET', 'POST'])
+def form():
+    if request.method == 'POST':
+        try:
+            # Extract form data
+            gender = int(request.form['gender'])
+            # Extract other form fields...
+
+            # Validate and process form data as needed
+
+            # Replace the following line with your logic to determine stroke or no stroke
+            result_data = "Your result data goes here"
+
+            return render_template('result.html', result_data=result_data)
+
+        except KeyError as e:
+            error_message = f"KeyError: {str(e)} is missing in form data."
+            return render_template('error.html', error_message=error_message)
+        except ValueError as ve:
+            error_message = f"ValueError: {str(ve)}"
+            return render_template('error.html', error_message=error_message)
+
+    # If it's a GET request, render the form template
+    return render_template('form.html')
+
+@app.route('/result', methods=['POST'])
+
+def result():
+
+    try:
+        gender = int(request.form['gender'])
+        age = int(request.form['age'])
+        hypertension = int(request.form['hypertension'])
+        heart_disease = int(request.form['heart_disease'])
+        ever_married = int(request.form['ever_married'])
+        work_type = int(request.form['work_type'])
+        residence_type = int(request.form['Residence_type'])
+        avg_glucose_level = float(request.form['avg_glucose_level'])
+        bmi = float(request.form['bmi'])
+        smoking_status = int(request.form['smoking_status'])
+
+        # Validate input values (add more validation if needed)
+        if age < 0 or avg_glucose_level < 0 or bmi < 0:
+            raise ValueError("Invalid input values")
+
+        x = np.array([gender, age, hypertension, heart_disease, ever_married, work_type, residence_type,
+                      avg_glucose_level, bmi, smoking_status]).reshape(1, -1)
+
+        # Load scaler
+        scaler_path_mac = '/Users/arnav/Documents/CS 699 Project/CS699-SW-Lab/models/scaler.pkl'
+        scaler = None
+        try:
+            with open(scaler_path_mac, 'rb') as scaler_file:
+                scaler = pickle.load(scaler_file)
+        except Exception as e:
+            return render_template('error.html', error_message=f"Error loading scaler: {str(e)}")
+
+        # Transform input features using the loaded scaler
+        x = scaler.transform(x)
+
+        # Load the model
+        model_path = os.path.join('/Users/arnav/Documents/CS 699 Project/CS699-SW-Lab/models/random_forest_model.pkl')
+        dt = None
+        try:
+            dt = joblib.load(model_path)
+        except Exception as e:
+            return render_template('error.html', error_message=f"Error loading model: {str(e)}")
+
+        # Make predictions
+        y_pred = int(round(dt.predict(x)[0]))
+
+        # Render templates based on predictions
+        if y_pred == 0:
+            return render_template('nostroke.html')
+        else:
+            return render_template('stroke.html')
+
+    except KeyError as e:
+        # Handle missing keys in form data
+        error_message = f"KeyError: {str(e)} is missing in form data."
+        return render_template('error.html', error_message=error_message)
+    except ValueError as ve:
+        # Handle invalid input values
+        error_message = f"ValueError: {str(ve)}"
+        return render_template('error.html', error_message=error_message)
+
+@app.route('/about')
+def about():
+    return render_template('about.html')
+
+@app.route('/legal')
+def legal():
+    return render_template('dis.html')
+
+@app.route('/privacy_policy')
+def privacy_policy():
+    return render_template('privacy_policy.html')
+
+@app.route('/terms_of_use')
+def terms_of_use():
+    return render_template('termsofuse.html')
+
+@app.route('/sales_policy')
+def sales_policy():
+    return render_template('salespolicy.html')
+
+
+
+@app.route('/buzzbeat')
+def buzzbeat():
+    return render_template('buzzbeat.html')
+
+if __name__ == "__main__":
+    app.run(debug=True, port=7384)