Finished with report and feedback buttons to store data to s3 bucket

Home.py

@@ -19,7 +19,11 @@ def application():
     from datetime import date
     from description_generator import input_manager, model_control
     from pathlib import Path
-    import datasets
+    import boto3
+
+    #S3 Bucket
+    session = boto3.Session(aws_access_key_id=st.secrets.accesskey, aws_secret_access_key=st.secrets.secretaccesskey)
+
 
     #UI Session Variables
     if 'desc_iter' not in st.session_state:
@@ -140,16 +144,14 @@ def application():
         data = {'rprtd':  date.today(),'inpts': inputs, 'title': st.session_state.output_dict[st.session_state.desc_iter]['titles'][st.session_state.title_iter][0], 'desc':st.session_state.output_dict[st.session_state.desc_iter]['text']}
         r_df = pd.DataFrame(data, index=[0])
         try:
-            r_d = datasets.load_dataset('reported.json')
-            r_p = r_d.to_pandas()
-            w_p = pd.concat([r_df, r_p])
+            s3=session.client('s3')
+            reportedjson = s3.get_object(Bucket='auto-bg', Key='reported.json')
+            r_d = pd.read_json(reportedjson.get("Body"))
+            w_p = pd.concat([r_df, r_d])
             w_p = w_p.drop_duplicates()
-            r_d = datasets.Dataset.from_pandas(w_p)
-            r_d.save_to_disk('reported.json')
+            s3.put_object(Body=w_p.to_json() ,Bucket='auto-bg', Key='reported.json')
         except: 
-            r_d = datasets.Dataset.from_pandas(r_df)
-            r_d.save_to_disk('reported.json')
-
+            s3.put_object(Body=r_df.to_json() ,Bucket='auto-bg', Key='reported.json')
     
     ###Variables
 
@@ -192,7 +194,6 @@ def application():
             Discover the concept for your next favorite game!
                         
             How do you use Auto-BG?
-
             Pick any set of tags from four selectors below: Family, Game, Mechanic, and Category.
             If you are looking to lose together - activate the cooperative toggle.
             
@@ -407,21 +408,23 @@ def about_us():
 def feedback():
     import pandas as pd
     from pathlib import Path
-    import datasets
-    
+    import boto3  
+
+    session = boto3.Session(aws_access_key_id=st.secrets.accesskey, aws_secret_access_key=st.secrets.secretaccesskey)
+
     st.subheader('Leave comments below')
 
     with st.form('feed',clear_on_submit=True):
         f = st.text_area('Feedback')
         sub = st.form_submit_button('Submit')
-    
+            
         if sub:
-            f_f = datasets.load_dataset('AutoBG/AutoBG-Datafeedback.csv')
-            f_csv = f_f.to_csv()
-            f_s = pd.Series(f)
-            f_f = f_f.append(f_s, ignore_index=True)
-            f_w = datasets.Dataset.from_csv(f_f)
-            f_w.save_to_disk('AutoBG/AutoBG-Data/feedback.csv')
+            s3=session.client('s3')
+            feedbackcsv = s3.get_object(Bucket='auto-bg', Key='Feedback.csv')
+            f_f = pd.read_csv(feedbackcsv.get("Body"))
+            f_s = pd.DataFrame({'feedback':f}, index=[0])
+            f_f = pd.concat([f_f, f_s])
+            s3.put_object(Body=f_f.to_csv() ,Bucket='auto-bg', Key='Feedback.csv')
 
 
 with tab1:

Persistent_Data/Feedback.csv

@@ -1,2 +0,0 @@
-,feedback
-0,