Update app.py

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+from huggingface_hub import from_pretrained_keras
 import pandas as pd
 import numpy as np
 import json
@@ -57,7 +58,8 @@ def plot_anomalies(df_test_value, data, anomalies):
     ax.set_ylabel("Value")
     ax.set_title("Anomalous Data Points")
     return fig
-                                      
+
+
 def master(file):
     # read file
     data = pd.read_csv(file, parse_dates=True, index_col="timestamp")
@@ -68,9 +70,18 @@ def master(file):
     anomalies = get_anomalies(df_test_value)
     #plot anomalous data points
     plot2 = plot_anomalies(df_test_value, data, anomalies)
-    return plot2
+    # Get the indices of detected outliers
+    outlier_indices = np.where(anomalies)[0]
+    # Create dataframe with outlier timestamps and values
+    outliers_df = data.iloc[outlier_indices]
+    return plot2, outliers_df
 
-outputs = gr.outputs.Image()
+# Interface
+inputs = gr.inputs.File(label="Upload CSV File")
+outputs = [
+    gr.outputs.Image(label="Anomalous Data Points"),
+    gr.outputs.Dataframe(label="Detected Outliers")
+]
 
 iface = gr.Interface(
     fn=master,