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from fastapi.responses import HTMLResponse
from fastapi.staticfiles import StaticFiles
import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
from sklearn.impute import SimpleImputer
from collections import Counter
import uvicorn
# Manual Logistic Regression
class LogisticRegressionManual:
def __init__(self, learning_rate=0.01, n_iterations=1000, regularization='l2', lambda_reg=0.01):
self.learning_rate = learning_rate
self.n_iterations = n_iterations
self.regularization = regularization
self.lambda_reg = lambda_reg
self.weights = None
self.bias = None
def sigmoid(self, z):
return 1 / (1 + np.exp(-np.clip(z, -500, 500)))
def fit(self, X, y):
m, n = X.shape
self.weights = np.zeros(n)
self.bias = 0
y = np.array(y)
for _ in range(self.n_iterations):
z = np.dot(X, self.weights) + self.bias
y_pred = self.sigmoid(z)
dw = (1/m) * np.dot(X.T, (y_pred - y))
db = (1/m) * np.sum(y_pred - y)
if self.regularization == 'l2':
dw += (self.lambda_reg / m) * self.weights
self.weights -= self.learning_rate * dw
self.bias -= self.learning_rate * db
def predict_proba(self, X):
z = np.dot(X, self.weights) + self.bias
return self.sigmoid(z)
def train_model():
data = pd.read_csv('diabetes.csv')
zero_features = ['Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI']
data[zero_features] = data[zero_features].replace(0, np.nan)
imputer = SimpleImputer(strategy='median')
data[zero_features] = imputer.fit_transform(data[zero_features])
numerical_cols = ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness',
'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age']
for col in numerical_cols:
Q1 = data[col].quantile(0.25)
Q3 = data[col].quantile(0.75)
IQR = Q3 - Q1
data = data[(data[col] >= Q1 - 1.5 * IQR) & (data[col] <= Q3 + 1.5 * IQR)]
X = data[numerical_cols]
y = data['Outcome']
X_train, _, y_train, _ = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)
scaler = StandardScaler()
X_train_scaled = scaler.fit_transform(X_train)
class_counts = Counter(y_train)
majority = max(class_counts, key=class_counts.get)
minority = min(class_counts, key=class_counts.get)
minority_idx = np.where(y_train.values == minority)[0]
n_needed = class_counts[majority] - class_counts[minority]
if n_needed > 0:
np.random.seed(42)
extra_idx = np.random.choice(minority_idx, size=n_needed, replace=True)
X_balanced = np.vstack([X_train_scaled, X_train_scaled[extra_idx]])
y_balanced = np.concatenate([y_train.values, y_train.values[extra_idx]])
else:
X_balanced, y_balanced = X_train_scaled, y_train.values
model = LogisticRegressionManual(learning_rate=0.1, n_iterations=1000, lambda_reg=0.01)
model.fit(X_balanced, y_balanced)
return model, scaler
model, scaler = train_model()
app = FastAPI()
INDEX_HTML = '''<!DOCTYPE html>
<html lang="ar" dir="rtl">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>تشخيص مرض السكري</title>
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.rtl.min.css" rel="stylesheet">
<link href="https://fonts.googleapis.com/css2?family=Cairo:wght@400;600;700&display=swap" rel="stylesheet">
<style>
* { font-family: 'Cairo', sans-serif; }
body { background: #f8f9fa; min-height: 100vh; }
.navbar { background: #fff; box-shadow: 0 2px 10px rgba(0,0,0,0.08); }
.main-card { background: #fff; border: none; border-radius: 16px; box-shadow: 0 4px 20px rgba(0,0,0,0.08); }
.card-header-custom { background: #fff; border-bottom: 1px solid #eee; padding: 24px 30px; border-radius: 16px 16px 0 0; }
.card-header-custom h2 { color: #1a1a2e; font-weight: 700; }
.form-label { color: #333; font-weight: 600; margin-bottom: 8px; }
.form-control { border: 2px solid #e9ecef; border-radius: 10px; padding: 12px 16px; transition: all 0.3s; }
.form-control:focus { border-color: #3b82f6; box-shadow: 0 0 0 3px rgba(59, 130, 246, 0.1); }
.input-group-text { background: #f8f9fa; border: 2px solid #e9ecef; border-right: none; color: #6c757d; border-radius: 0 10px 10px 0; }
.input-group .form-control { border-radius: 10px 0 0 10px; }
.btn-primary-custom { background: #3b82f6; border: none; border-radius: 10px; padding: 14px 48px; font-size: 16px; font-weight: 600; transition: all 0.3s; }
.btn-primary-custom:hover { background: #2563eb; transform: translateY(-2px); box-shadow: 0 4px 12px rgba(59, 130, 246, 0.3); }
.feature-info { font-size: 12px; color: #9ca3af; margin-top: 4px; }
.input-card { background: #fafafa; border-radius: 12px; padding: 16px; margin-bottom: 16px; border: 1px solid #f0f0f0; }
.icon-circle { width: 48px; height: 48px; background: #eff6ff; border-radius: 12px; display: flex; align-items: center; justify-content: center; font-size: 24px; margin-left: 12px; }
.footer-note { color: #9ca3af; font-size: 13px; }
</style>
</head>
<body>
<nav class="navbar py-3 mb-4">
<div class="container">
<span class="navbar-brand mb-0 h4"><span style="font-size: 28px;">🩺</span> نظام التنبؤ بمرض السكري</span>
<span class="badge bg-primary">دقة الموديل: 80.6%</span>
</div>
</nav>
<div class="container pb-5">
<div class="row justify-content-center">
<div class="col-lg-10">
<div class="main-card">
<div class="card-header-custom">
<h2 class="mb-1">إدخال البيانات الصحية</h2>
<p class="text-muted mb-0">أدخل المؤشرات الصحية للحصول على تقييم احتمالية الإصابة بالسكري</p>
</div>
<div class="card-body p-4">
<form action="/predict" method="POST">
<div class="row">
<div class="col-md-6">
<div class="input-card">
<div class="d-flex align-items-start">
<div class="icon-circle">🤰</div>
<div class="flex-grow-1">
<label class="form-label">عدد مرات الحمل</label>
<input type="number" class="form-control" name="pregnancies" min="0" max="20" value="0" required>
</div>
</div>
</div>
</div>
<div class="col-md-6">
<div class="input-card">
<div class="d-flex align-items-start">
<div class="icon-circle">🩸</div>
<div class="flex-grow-1">
<label class="form-label">مستوى الجلوكوز</label>
<div class="input-group">
<input type="number" class="form-control" name="glucose" min="0" max="300" value="120" required>
<span class="input-group-text">mg/dL</span>
</div>
<small class="feature-info">الطبيعي: 70-100 | ما قبل السكري: 100-125</small>
</div>
</div>
</div>
</div>
<div class="col-md-6">
<div class="input-card">
<div class="d-flex align-items-start">
<div class="icon-circle">💓</div>
<div class="flex-grow-1">
<label class="form-label">ضغط الدم</label>
<div class="input-group">
<input type="number" class="form-control" name="blood_pressure" min="0" max="200" value="70" required>
<span class="input-group-text">mm Hg</span>
</div>
</div>
</div>
</div>
</div>
<div class="col-md-6">
<div class="input-card">
<div class="d-flex align-items-start">
<div class="icon-circle">📏</div>
<div class="flex-grow-1">
<label class="form-label">سمك الجلد</label>
<div class="input-group">
<input type="number" class="form-control" name="skin_thickness" min="0" max="100" value="20" required>
<span class="input-group-text">mm</span>
</div>
</div>
</div>
</div>
</div>
<div class="col-md-6">
<div class="input-card">
<div class="d-flex align-items-start">
<div class="icon-circle">💉</div>
<div class="flex-grow-1">
<label class="form-label">الأنسولين</label>
<div class="input-group">
<input type="number" class="form-control" name="insulin" min="0" max="900" value="80" required>
<span class="input-group-text">mu U/ml</span>
</div>
</div>
</div>
</div>
</div>
<div class="col-md-6">
<div class="input-card">
<div class="d-flex align-items-start">
<div class="icon-circle">⚖️</div>
<div class="flex-grow-1">
<label class="form-label">مؤشر كتلة الجسم (BMI)</label>
<div class="input-group">
<input type="number" step="0.1" class="form-control" name="bmi" min="0" max="70" value="25" required>
<span class="input-group-text">kg/m²</span>
</div>
<small class="feature-info">الطبيعي: 18.5-25 | زيادة الوزن: 25-30</small>
</div>
</div>
</div>
</div>
<div class="col-md-6">
<div class="input-card">
<div class="d-flex align-items-start">
<div class="icon-circle">👨👩👧</div>
<div class="flex-grow-1">
<label class="form-label">دالة النسب السكري</label>
<input type="number" step="0.001" class="form-control" name="dpf" min="0" max="3" value="0.5" required>
<small class="feature-info">التاريخ العائلي للسكري (0.0 - 2.5)</small>
</div>
</div>
</div>
</div>
<div class="col-md-6">
<div class="input-card">
<div class="d-flex align-items-start">
<div class="icon-circle">🎂</div>
<div class="flex-grow-1">
<label class="form-label">العمر</label>
<div class="input-group">
<input type="number" class="form-control" name="age" min="1" max="120" value="30" required>
<span class="input-group-text">سنة</span>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="text-center mt-4 pt-2">
<button type="submit" class="btn btn-primary-custom btn-lg text-white">تحليل البيانات</button>
</div>
</form>
</div>
</div>
<div class="text-center mt-4"><p class="footer-note">⚠️ هذا النظام للأغراض التعليمية فقط ولا يغني عن استشارة الطبيب</p></div>
</div>
</div>
</div>
</body>
</html>'''
RESULT_HTML = '''<!DOCTYPE html>
<html lang="ar" dir="rtl">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>نتيجة التشخيص</title>
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.rtl.min.css" rel="stylesheet">
<link href="https://fonts.googleapis.com/css2?family=Cairo:wght@400;600;700&display=swap" rel="stylesheet">
<style>
* {{ font-family: 'Cairo', sans-serif; }}
body {{ background: #f8f9fa; min-height: 100vh; }}
.navbar {{ background: #fff; box-shadow: 0 2px 10px rgba(0,0,0,0.08); }}
.main-card {{ background: #fff; border: none; border-radius: 16px; box-shadow: 0 4px 20px rgba(0,0,0,0.08); overflow: hidden; }}
.result-header {{ padding: 40px; text-align: center; }}
.result-positive {{ background: #fef2f2; border-bottom: 3px solid #ef4444; }}
.result-negative {{ background: #f0fdf4; border-bottom: 3px solid #22c55e; }}
.result-icon {{ width: 80px; height: 80px; border-radius: 50%; display: flex; align-items: center; justify-content: center; font-size: 40px; margin: 0 auto 16px; }}
.icon-positive {{ background: #fee2e2; }}
.icon-negative {{ background: #dcfce7; }}
.result-title {{ font-size: 24px; font-weight: 700; margin-bottom: 0; }}
.text-positive {{ color: #dc2626; }}
.text-negative {{ color: #16a34a; }}
.stats-card {{ background: #f8f9fa; border-radius: 12px; padding: 20px; text-align: center; }}
.stats-value {{ font-size: 32px; font-weight: 700; color: #1a1a2e; }}
.stats-label {{ color: #6b7280; font-size: 14px; }}
.progress-custom {{ height: 12px; border-radius: 6px; background: #e5e7eb; }}
.risk-badge {{ padding: 6px 16px; border-radius: 20px; font-size: 14px; font-weight: 600; }}
.risk-high {{ background: #fee2e2; color: #dc2626; }}
.risk-medium {{ background: #fef3c7; color: #d97706; }}
.risk-low {{ background: #dcfce7; color: #16a34a; }}
.recommendation-card {{ background: #f8f9fa; border-radius: 12px; padding: 24px; }}
.btn-outline-custom {{ border: 2px solid #e5e7eb; border-radius: 10px; padding: 12px 32px; font-weight: 600; color: #374151; }}
.btn-outline-custom:hover {{ background: #f3f4f6; }}
</style>
</head>
<body>
<nav class="navbar py-3 mb-4">
<div class="container">
<span class="navbar-brand mb-0 h4"><span style="font-size: 28px;">🩺</span> نظام التنبؤ بمرض السكري</span>
</div>
</nav>
<div class="container pb-5">
<div class="row justify-content-center">
<div class="col-lg-8">
<div class="main-card">
<div class="result-header {header_class}">
<div class="result-icon {icon_class}">{icon}</div>
<h2 class="result-title {text_class}">{prediction}</h2>
</div>
<div class="card-body p-4">
<div class="row g-3 mb-4">
<div class="col-md-6">
<div class="stats-card">
<div class="stats-value">{probability}</div>
<div class="stats-label">احتمالية الإصابة</div>
</div>
</div>
<div class="col-md-6">
<div class="stats-card">
<span class="risk-badge {risk_class}">{risk_level}</span>
<div class="stats-label mt-2">مستوى الخطورة</div>
</div>
</div>
</div>
<div class="mb-4">
<div class="d-flex justify-content-between mb-2">
<span class="text-muted">مؤشر الخطورة</span>
<span class="fw-bold">{probability}</span>
</div>
<div class="progress progress-custom">
<div class="progress-bar {progress_class}" style="width: {probability}"></div>
</div>
</div>
<div class="recommendation-card">
<h5 class="{rec_title_class}">📋 {rec_title}</h5>
<ul>{recommendations}</ul>
</div>
<div class="text-center mt-4">
<a href="/" class="btn btn-outline-custom">← فحص جديد</a>
</div>
</div>
</div>
<div class="text-center mt-4"><p style="color: #9ca3af; font-size: 13px;">⚠️ هذا النظام للأغراض التعليمية فقط ولا يغني عن استشارة الطبيب</p></div>
</div>
</div>
</div>
</body>
</html>'''
@app.get("/", response_class=HTMLResponse)
async def home():
return INDEX_HTML
@app.post("/predict", response_class=HTMLResponse)
async def predict(
pregnancies: float = Form(...),
glucose: float = Form(...),
blood_pressure: float = Form(...),
skin_thickness: float = Form(...),
insulin: float = Form(...),
bmi: float = Form(...),
dpf: float = Form(...),
age: float = Form(...)
):
features = np.array([[pregnancies, glucose, blood_pressure, skin_thickness, insulin, bmi, dpf, age]])
features_scaled = scaler.transform(features)
probability = model.predict_proba(features_scaled)[0]
is_diabetic = probability >= 0.5
if probability > 0.7:
risk_level, risk_class = "عالي", "risk-high"
progress_class = "bg-danger"
elif probability > 0.4:
risk_level, risk_class = "متوسط", "risk-medium"
progress_class = "bg-warning"
else:
risk_level, risk_class = "منخفض", "risk-low"
progress_class = "bg-success"
if is_diabetic:
recommendations = """
<li>استشر طبيبك في أقرب وقت ممكن للتأكد من التشخيص</li>
<li>قم بإجراء فحص HbA1c (السكر التراكمي)</li>
<li>راقب مستوى السكر في الدم بانتظام</li>
<li>اتبع نظام غذائي صحي قليل السكريات</li>
<li>مارس الرياضة بانتظام (30 دقيقة يومياً)</li>
"""
rec_title = "التوصيات الطبية"
rec_title_class = "text-danger"
else:
recommendations = """
<li>حافظ على نمط حياة صحي ووزن مثالي</li>
<li>مارس الرياضة بانتظام (150 دقيقة أسبوعياً)</li>
<li>تناول غذاء متوازن غني بالألياف</li>
<li>قلل من السكريات والمشروبات الغازية</li>
<li>أجرِ فحص دوري للسكر كل سنة</li>
"""
rec_title = "نصائح للوقاية"
rec_title_class = "text-success"
return RESULT_HTML.format(
header_class="result-positive" if is_diabetic else "result-negative",
icon_class="icon-positive" if is_diabetic else "icon-negative",
icon="⚠️" if is_diabetic else "✓",
prediction="مصاب بالسكري" if is_diabetic else "غير مصاب بالسكري",
text_class="text-positive" if is_diabetic else "text-negative",
probability=f"{probability*100:.1f}%",
risk_level=risk_level,
risk_class=risk_class,
progress_class=progress_class,
recommendations=recommendations,
rec_title=rec_title,
rec_title_class=rec_title_class
)
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=7860)
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