Create app.py

app.py

@@ -0,0 +1,25 @@
+import joblib
+from sklearn.preprocessor import StandardScaler
+from flask import Flask,render_template,request
+app=Flask(__name__)
+
+model=joblib.load('model.pkl')
+scaler=joblib.load('scaler.pkl')
+
+@app.route('/')
+def home():
+    return render_template('index.html')
+
+@app.route('/predict',methods=['POST','GET'])
+def pred():
+    Open=float(scaler.fit_tranform(request.form.get('open'))
+    High=float(scaler.fit_transform(request.form.get('high'))
+    Low=float(scaler.fit_transform(request.form.get('low'))
+    Close=float(sclaer.fit_transform(request.form.get('close'))	
+    Volume=float(scaler.fit_transform(request.form.get('volume'))
+
+    prediction=model.predict('open,'high','low','close','volume')
+
+    return render_template('index.html',result=prediction)
+    
+