Update app.py

app.py

@@ -1,10 +1,49 @@
-from flask import Flask 
+from flask import *
+import seaborn as sns
+from sklearn.linear_model import LogisticRegression
+
+
+
+app = Flask(__name__)
+
+
+
+@app.route('/predict', methods =['POST'])
+def predictflower():
+   # receive all four values
+   # send these 4 values to predict method of model
+   # return the flower type returned by predict method
+   # def greet_json():
+   iris1 =sns.load_dataset("iris")
+   modlog= LogisticRegression (max_iter=300)
+   
+   irisarr = iris1.values
+   X = irisarr[:,0:4]
+   Y = irisarr[:,4]
+
+
+   modlog.fit(X,Y)
+
+
+
+   sl = float(request.form['sl'])
+   sw = float(request.form['sw'] )
+   pl = float(request.form['pl'])
+   pw = float(request.form['pw'])
+   res = modlog.predict([[ sl , sw ,pl ,pw ] ])
+  
+   return render_template("form.html" , result = res )
+
 
-app = Flask(__name__) 
 
 @app.route('/')
- def  hello_world(): 
-return 'Welcome to AIML World!' 
+def hello_world():
+ return render_template("form.html")
+
+
+
+
+
+if __name__ == '__main__':
+ app.run()
 
-if __name__ == '__main__': 
-app.run()