Modified UI

app.py

@@ -8,21 +8,33 @@ import json
 # Title for Streamlit app
 st.title('Isolation Forest Anomaly Detection')
 
-# Upload log to parse
-json_content = None
-uploaded_file = st.file_uploader("Upload logfile", type="json")
-
-if uploaded_file:
-    # Get the JSON content
-    log_content = json.loads(uploaded_file.getvalue())['logs']
+col1, col2 = st.columns(2)
 
+# Content from upload
+json_content = None
+with col1:
+    with st.container(border=True):
+        uploaded_file = st.file_uploader("Upload JSON", type="json")
+        if uploaded_file:
+            json_content = json.loads(uploaded_file.getvalue())
+
+# Content from local file
+with col2:
+    with st.container(border=True):
+        st.write('Load embedded JSON')
+        if st.button('Load'):
+            with open('cattle_log.json', 'r') as file:
+                json_content = json.load(file)
+
+
+if json_content:
     # Select dimensions
     num_dimensions = st.selectbox('Select number of dimensions:', [1, 2, 3], index=2)
 
     X = []
 
     # Iterate over each log entry in the log_content
-    for log_entry in log_content:
+    for log_entry in json_content['logs']:
         # Extract and convert the necessary attributes
         total_today_str = log_entry['distanceTraveled']['totalToday'].rstrip('m')
         heart_rate = int(log_entry['healthData']['heartRate'])  # Assuming heart rate is always an integer