Update app.py

app.py

@@ -3,17 +3,32 @@ import pandas as pd
 from huggingface_hub import Repository
 import os 
 from pathlib import Path
-import csv
+import json
 
  
-# assign directory
+# Declaring the variables for later use to talk to dataset
 
-auth_token = os.environ.get("space_to_dataset") or True        
+# the token is saved as secret key-value pair in the environment which can be access as shown below
+auth_token = os.environ.get("space_to_dataset") or True
+
+DATASET_REPO_URL = 'ppsingh/annotation_data'   # path to dataset repo
+DATA_FILENAME = "paralist.json"
+DATA_FILE = os.path.join("data", DATA_FILENAME)
+
+# cloning the dataset repo
+repo = Repository( local_dir="data", clone_from=DATASET_REPO_URL, repo_type="dataset", use_auth_token= auth_token)
+
+              
 #data = pd.read_csv("test.csv")
 #for line in data:
-
+st.sidebar.markdown(
+    """
+# Data Annotation Demo 
+This app is demo how to use the space to provide user interface for the data annotation/tagging. The data resides in repo_type 'dataset'.
+"""
+)
 #  st.write(line)
-  
+ 
 title = st.text_input('Movie title', 'Life of Brian')
 if st.button('Submit'):
   new_row  = title
@@ -22,11 +37,7 @@ if st.button('Submit'):
 #  st.write(os.getcwd())
 #  data.to_csv('test.csv', index= False)
 
-DATASET_REPO_URL = 'ppsingh/annotation_data'
-DATA_FILENAME = "test.csv"
-DATA_FILE = os.path.join("data", DATA_FILENAME)
-repo = Repository( local_dir="data", clone_from=DATASET_REPO_URL, repo_type="dataset", use_auth_token= auth_token)
-df = pd.read_csv('data/test.csv')
+
 st.write(df)
 #   st.write('data/test.csv')
 # iterate over files in