Update app.py

app.py

@@ -10,33 +10,39 @@ import numpy as np
 # Declaring the variables for later use to talk to dataset
 
 # 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
+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)
+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 file name
-#file_name = 'paralist.json'
+file_name = 'paralist.json'
 
 # reading the json
-#with open('data/{}'.format(file_name), 'r', encoding="utf8") as json_file:
-#  paraList = json.load(json_file)
+@st.cache
+def read_dataset():
+    repo = Repository( local_dir="data", clone_from=DATASET_REPO_URL, repo_type="dataset", use_auth_token= auth_token)
+    with open('data/{}'.format(file_name), 'r', encoding="utf8") as json_file:
+      paraList = json.load(json_file)
+    
+    return repo, paraList
 
+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'.
+""")
 # getting outer level keys in json  
-#keys = paraList.keys()              
-#data = pd.read_csv("test.csv")
+#with st.container():
+#    repo, paraList = read_dataset()
+    
+#    keys = paraList.keys()              
 
 # sidebar with info and drop down to select from the keys
-#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'.
-#"""
-#)
+
 #topic = None
 #if keys is not None:
 #  topic = st.sidebar.selectbox(
@@ -100,45 +106,7 @@ import numpy as np
 #  repo.push_to_hub('adding new line')
 #  st.write('Succcess')
 
-  
-import streamlit as st
-
-col1, col2, col3 = st.columns(3)
-#session_state = st.session_state.get(col1=False, col2=False, col3=False)
-st.session_state.col1 =  False
-st.session_state.col2 =  False
-st.session_state.col3 =  False
-
-col1_one = col1.button("CARTE", key="1")
-col2_one = col2.button("TABLEAU", key="2")
-col3_one = col3.button("SYNTHÈSE", key="3")
-
-if col1_one or st.session_state.col1:
-    st.session_state.col1 = True
-    st.session_state.col2 = False
-    st.session_state.col3 = False
-    sel_Map = st.selectbox("Choose Map type :", options=['Hello1', 'Hello2'], index=1)
-    if sel_Map == 'Hello1':
-        st.write("Hello world! 1")
-    elif sel_Map == 'Hello2':
-        st.write("Hello world! 2")
-
-if col2_one or st.session_state.col2:
-    st.session_state.col1 = False
-    st.session_state.col2 = True
-    st.session_state.col3 = False
-    st.write("Hello world! 3")
-
-if col3_one or st.session_state.col3:
-    st.session_state.col1 = False
-    st.session_state.col2 = False
-    st.session_state.col3 = True
-    st.write("Hello world! 4")
-    
-    if st.button('Refresh'):
-        st.session_state.col1 =  False
-        st.session_state.col2 =  False
-        st.session_state.col3 =  False
+