Flask app (#7)

* inittial setup, and add proposal.md

* add qc_finetuned model

* add pretrained tokenizer

* update utils

* new changes

* fix emails dataset

* qc and fgg

* Contains files used for experimenting with the datageneration with the chat-gpt API

* Final code for dataset generation that reads from the ref.txt and generates the dataset using the chatgpt api and writes into the datasetfinal.txt file

* trail code for fgen using google/pegasus summarizer

* added ClusterDataset Class

* added FGENDataLoader Class

* modified the fgen system

* Added files to experiment

* add fg sub-system

* fgen funtion

* MODIFY RESULTS (LOGGING)

* Flask app added in email2faq/web

* max height added to components

---------

Co-authored-by: ARY2260 <arb.aryan@gmail.com>
Co-authored-by: MeherRushi <sudharushi0@gmail.com>
Co-authored-by: Aryan Amit Barsainyan <75680850+ARY2260@users.noreply.github.com>

email2faq/data/dataset.py

@@ -215,4 +215,3 @@ def preprocess(self):
 # dataset = ClusterDataset(query_clusters)
 # inputs_t = dataset.preprocess()
 # # %%
-

email2faq/web/templates/result.html

@@ -24,10 +24,32 @@
       .response1 {
         margin-top: 2em;
         max-width: 30em;
+        max-height: 15em;
+        overflow-y: scroll;
       }
 
       .response2{
         max-width: 70em;
+        max-height: 15em;
+        overflow-y: scroll;
+      }
+
+      div * {
+        scrollbar-width: none; 
+      }
+
+      ::-webkit-scrollbar-track {
+          -webkit-box-shadow: none !important;
+          background-color: transparent;
+      }
+
+      ::-webkit-scrollbar {
+        width: 3px !important;
+        background-color: transparent;
+      }
+
+      ::-webkit-scrollbar-thumb {
+        background-color: transparent;
       }
 
     </style>