Upload app.py

app.py

@@ -15,6 +15,8 @@ import matplotlib.gridspec as gridspec
 import seaborn as sns
 import io
 import gradio as gr
+import tempfile
+
 
 from statsmodels.tsa.stattools import adfuller
 from statsmodels.tsa.arima.model import ARIMA
@@ -168,13 +170,13 @@ def detect_anomalies(actual, fitted, k=2.5):
 # ─────────────────────────────────────────────
 # PLOT HELPERS
 # ─────────────────────────────────────────────
+
 def _fig_to_pil(fig):
-    """Convert matplotlib figure to PIL Image bytes for Gradio."""
-    buf = io.BytesIO()
-    fig.savefig(buf, format="png", dpi=130, bbox_inches="tight",
+    """Save matplotlib figure to temp file and return filepath (Gradio-compatible)."""
+    tmp = tempfile.NamedTemporaryFile(delete=False, suffix=".png")
+    fig.savefig(tmp.name, dpi=130, bbox_inches="tight",
                 facecolor=fig.get_facecolor())
-    buf.seek(0)
-    return buf
+    return tmp.name
 
 
 def plot_overview(df):