From c92fbef1abd7d119a7ec5aa49db64dccd679726d Mon Sep 17 00:00:00 2001
From: venvis <127123047+venvis@users.noreply.github.com>
Date: Wed, 1 May 2024 11:53:19 +0200
Subject: [PATCH] Add code for Analyzer class

---
 cellar/README.md | 12 ++++++++----
 1 file changed, 8 insertions(+), 4 deletions(-)

diff --git a/cellar/README.md b/cellar/README.md
index e54ab47..455ef5e 100644
--- a/cellar/README.md
+++ b/cellar/README.md
@@ -160,17 +160,21 @@ Below are examples for in-memory saving:
 df = cell.get_cellar(save_file='n', file_format='csv', sd='2022-01-01', max_ecli=1000)
 df,json = cell.get_cellar_extra(save_file='n', max_ecli=100, sd='2022-01-01', threads=10)
 ```
+<p>Create a callback of the instance of the class initiated and pass a list as it's value.</p>
+
 ```python
-instance=Analyzer(celex_id:str)
+import cellar_extractor as cell
+instance=cell.Analyzer(celex_id:str)
 output_list=instance()
-print(output_list)
+print(output_list) # prints operative part of the Case as a list
 ```
-<p>Create a callback of the instance of the class initiated and pass a list as it's value.</p>
+
 
 <p>The Writing Class also takes a celex id , upon initializing the class , through the means of the constructor and writes the content of its operative part into different files , depending on the function called</p>
 
 ```python
-instance=Writing(celex_id:str)
+import cellar_extractor as cell
+instance=cell.Writing(celex_id:str)
 output=instance.to_csv()#for csv
 output=instance.to_txt()#for txt
 output=instance.to_json()#for json