Upload files to 'Demand_forcasting'

Demand_forcasting/forcasting.py

-
-
-
 from flask import Flask, render_template, send_file, request, redirect, Response
 import os
 
         print('file exist')
         os.remove('path.csv')
     else:
-        print("file as it doesn't exists")
+        print("file doesn't exists")
         pass
     userdata=df
     itemid=userdata[['itemname','itemid']]
     
         userdata= userdata.groupby('Month-Year').sum()
         userdata= userdata.reset_index()
-        #print(userdata)
+      
         fulldata=userdata[['Month-Year','sum']]
         fulldata.columns = ["Dates","SALES"]
     #************************************************************************************************************************
         from pandas import DataFrame
         
         # userdata=pd.read_csv(r"C:\Users\Bizgaze\ipynb files\TS forcasting\working\139470.csv")
-        
+        userdata=userdata[['Month-Year','sum','itemid']]
         userdata.columns = ['Month', 'sales','sku']
         from statsmodels.tsa.stattools import adfuller
         
     return output
 
 if __name__ == "__main__":
-    app.run(host='0.0.0.0', port=5003)
+    app.run(host='0.0.0.0', port=8082)

Demand_forcasting/requirements.txt

+certifi==2022.12.7
+charset-normalizer==3.1.0
+click==8.1.3
+contourpy==1.0.7
+cycler==0.11.0
+Flask==2.2.3
+fonttools==4.39.3
+idna==3.4
+importlib-metadata==6.3.0
+importlib-resources==5.12.0
+itsdangerous==2.1.2
+Jinja2==3.1.2
+joblib==1.2.0
+kiwisolver==1.4.4
+MarkupSafe==2.1.2
+matplotlib==3.7.1
+numpy==1.24.2
+packaging==23.0
+pandas==2.0.0
+patsy==0.5.3
+Pillow==9.5.0
+pyparsing==3.0.9
+python-dateutil==2.8.2
+pytz==2023.3
+requests==2.28.2
+scikit-learn==1.2.2
+scipy==1.10.1
+six==1.16.0
+statsmodels==0.13.5
+threadpoolctl==3.1.0
+tzdata==2023.3
+urllib3==1.26.15
+Werkzeug==2.2.3
+xgboost==1.7.5
+zipp==3.15.0