Create app.py

app.py

@@ -0,0 +1,92 @@
+import pandas as pd
+import gradio as gr
+
+from analytics.monitoring_analysis import generate_monitoring_table
+from metrics.mix_metrics import (
+    calculate_count_mix,
+    calculate_limit_mix
+)
+
+# ------------------------
+# Load Data
+# ------------------------
+acq = pd.read_csv("data/acquisition.csv")
+perf = pd.read_csv("data/performance.csv")
+
+
+# ------------------------
+# Core Engine
+# ------------------------
+def run_analysis(dataset, analysis_type, group_col):
+
+    if dataset == "Acquisition":
+
+        df = acq
+
+        if analysis_type == "Count Mix":
+            return calculate_count_mix(df, group_col)
+
+        elif analysis_type == "Limit Mix":
+            return calculate_limit_mix(df, group_col)
+
+        else:
+            return "Invalid analysis type for Acquisition dataset"
+
+    elif dataset == "Performance":
+
+        df = perf
+
+        if analysis_type == "Vintage Monitoring Table":
+            return generate_monitoring_table(df)
+
+        else:
+            return "Invalid analysis type for Performance dataset"
+
+    else:
+        return "Invalid dataset selection"
+
+
+# ------------------------
+# Gradio UI
+# ------------------------
+with gr.Blocks() as app:
+
+    gr.Markdown("# 📊 Risk Analytics Manager Agent (V1)")
+
+    with gr.Row():
+
+        dataset = gr.Dropdown(
+            choices=["Acquisition", "Performance"],
+            label="Select Dataset"
+        )
+
+        analysis_type = gr.Dropdown(
+            choices=[
+                "Count Mix",
+                "Limit Mix",
+                "Vintage Monitoring Table"
+            ],
+            label="Select Analysis"
+        )
+
+        group_col = gr.Dropdown(
+            choices=[
+                "sourcing_channel",
+                "fico_band",
+                "city_tier",
+                "occupation_type"
+            ],
+            label="Group Column (for Mix)"
+        )
+
+    run_btn = gr.Button("Run Analysis")
+
+    output = gr.Dataframe()
+
+    run_btn.click(
+        fn=run_analysis,
+        inputs=[dataset, analysis_type, group_col],
+        outputs=output
+    )
+
+app.launch()