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app.py

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+from flask import Flask,request,render_template,redirect
+import pickle
+import numpy as np
+
+# sample data
+# 
+app = Flask(__name__)
+load = pickle.load(open('./model.sav','rb'))
+
+
+@app.route('/')
+def home():
+    return render_template('index.html')
+
+@app.route('/predict',methods=['POST'])
+def predict():
+    
+    preg = request.form.get("preg")
+    bmi = request.form.get("bmi")
+    bp = request.form.get("bp")
+    skin = request.form.get("skin")
+    dp = request.form.get("dp")
+    gl = request.form.get("gl")
+    il = request.form.get("il")
+    age = request.form.get("age")
+    features = np.array([[preg,gl,bp,skin,il,bmi,dp,age]])
+    pred = load.predict(features)
+    if pred == 1 :
+        output =  "Yes, you have Diabaties."
+    elif pred == 0:
+        output = "No, you do not have Diabaties."  
+    else : 
+        output = pred    
+    return render_template('index.html',res=output)      
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=7860)