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README.md

@@ -1,12 +1,11 @@
+
 ---
-title: Fraud Detector Main
+title: fraud_detector_main 
 emoji: 🔥
-colorFrom: green
-colorTo: green
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
 sdk_version: 3.6
-app_file: app.py
+app_file: run.py
 pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

fraud.csv

@@ -0,0 +1,11 @@
+time,retail,food,other
+0,109,145,86
+1,35,87,43
+2,49,117,34
+3,127,66,17
+4,39,82,17
+5,101,56,79
+6,100,129,67
+7,17,88,97
+8,76,85,145
+9,111,106,35

requirements.txt

@@ -0,0 +1 @@
+pandashttps://gradio-main-build.s3.amazonaws.com/c3bec6153737855510542e8154391f328ac72606/gradio-3.6-py3-none-any.whl

run.py

@@ -0,0 +1,39 @@
+import random
+import os
+import gradio as gr
+
+
+def fraud_detector(card_activity, categories, sensitivity):
+    activity_range = random.randint(0, 100)
+    drop_columns = [
+        column for column in ["retail", "food", "other"] if column not in categories
+    ]
+    if len(drop_columns):
+        card_activity.drop(columns=drop_columns, inplace=True)
+    return (
+        card_activity,
+        card_activity,
+        {"fraud": activity_range / 100.0, "not fraud": 1 - activity_range / 100.0},
+    )
+
+
+demo = gr.Interface(
+    fraud_detector,
+    [
+        gr.Timeseries(x="time", y=["retail", "food", "other"]),
+        gr.CheckboxGroup(
+            ["retail", "food", "other"], value=["retail", "food", "other"]
+        ),
+        gr.Slider(1, 3),
+    ],
+    [
+        "dataframe",
+        gr.Timeseries(x="time", y=["retail", "food", "other"]),
+        gr.Label(label="Fraud Level"),
+    ],
+    examples=[
+        [os.path.join(os.path.dirname(__file__), "fraud.csv"), ["retail", "food", "other"], 1.0],
+    ],
+)
+if __name__ == "__main__":
+    demo.launch()