Update app.py

app.py

@@ -7,6 +7,7 @@ from sklearn.preprocessing import StandardScaler
 import scipy
 from scipy import signal
 import pickle
+import asyncio
 
 global_data = None
 
@@ -19,7 +20,14 @@ def label_data(ranges):
     global global_data
     for start, end, label in ranges.values:
         global_data.loc[start:end, 'label'] = label
-    return global_data
+    return global_data.tail()
+
+
+#def label_data(ranges):
+    #global global_data
+    #for start, end, label in ranges.values:
+    #    global_data.loc[start:end, 'label'] = label
+    #return global_data
 
 
 def preprocess_data(data):
@@ -133,7 +141,7 @@ with gr.Blocks() as demo:
 
     file_input.upload(get_data_preview, inputs=file_input, outputs=data_preview)
     label_button = gr.Button("Label Data")
-    label_button.click(label_data, inputs=[ranges_input], outputs=labeled_data_preview)
+    label_button.click(label_data, inputs=[ranges_input], outputs=labeled_data_preview, queue=True)
     train_button = gr.Button("Train Model")
     train_button.click(train_model, outputs=[training_status, model_file, scaler_file])