Update app.py

app.py

@@ -1,12 +1,12 @@
 import joblib
-
+from sklearn.preprocessing import StandardScaler
 from flask import Flask,render_template,request
 
 
 
 app=Flask(__name__)
-
-model=joblib.load('crypto (1).pkl')
+scaler.joblib.load('scaler.pkl')
+model=joblib.load('crypto.pkl')
 
 
 @app.route('/')
@@ -21,8 +21,10 @@ def pred():
     Close=float(request.form.get('close'))
     Volume=float(request.form.get('volume'))
 
-    prediction=model.predict([[Open,High,Low,Close,Volume]])
-    return render_template('index.html',result=prediction[0])
+    user_input=scaler.transform([[Open,High,Low,Close,Volume]])
+    prediction=model.predict(user_input)
+    prediction=scaler.inverse_transform(prediction)
+    return render_template('index.html',result=prediction[0][0])
     
 if __name__=='__main__':
     app.run(debug=True)