Update app.py

app.py

@@ -5,27 +5,27 @@ from agents.analytics_pipeline import analytics_coordinator
 from db_connector import fetch_data_from_db, list_tables, SUPPORTED_ENGINES
 
 # ──────────────────────────────────────────────────────────────
-#  0.  PAGE CONFIG
+#  PAGE CONFIG
 # ──────────────────────────────────────────────────────────────
 st.set_page_config(page_title="BizIntel AI Ultra", layout="wide")
 st.title("📊 BizIntel AI Ultra – Business Intelligence Agent")
 
-# Where we'll store any uploaded files (always writable in HF Spaces)
+# Writable directory inside Hugging Face container
 TEMP_DIR = tempfile.gettempdir()
 
 # ──────────────────────────────────────────────────────────────
-#  1.  DATA SOURCE SELECTION
+# 1.  DATA SOURCE SELECTION (CSV or DB)
 # ──────────────────────────────────────────────────────────────
 input_source = st.radio("Select data source", ["Upload CSV", "Connect to SQL Database"])
 csv_path: str | None = None
 
 if input_source == "Upload CSV":
-    uploaded_file = st.file_uploader("Upload CSV", type="csv")
-    if uploaded_file:
-        csv_path = os.path.join(TEMP_DIR, uploaded_file.name)
+    uploaded_csv = st.file_uploader("Upload CSV", type="csv")
+    if uploaded_csv:
+        csv_path = os.path.join(TEMP_DIR, uploaded_csv.name)
         with open(csv_path, "wb") as f:
-            f.write(uploaded_file.read())
-        st.success("CSV file saved to temporary storage ✅")
+            f.write(uploaded_csv.read())
+        st.success("CSV saved to temporary storage ✅")
 
 elif input_source == "Connect to SQL Database":
     engine = st.selectbox("Database engine", SUPPORTED_ENGINES)
@@ -39,7 +39,7 @@ elif input_source == "Connect to SQL Database":
                 st.success(f"Fetched **{table_name}** as CSV ✅")
 
 # ──────────────────────────────────────────────────────────────
-#  2.  OPTIONAL IMAGE UPLOAD & PREVIEW
+# 2.  OPTIONAL IMAGE UPLOAD & PREVIEW
 # ──────────────────────────────────────────────────────────────
 st.markdown("---")
 st.subheader("📷 Optional: Upload an Image for Preview / Future Analysis")
@@ -53,21 +53,22 @@ if img_file:
     with open(img_path, "wb") as f:
         f.write(img_file.read())
     st.image(img_path, caption="Uploaded Image", use_column_width=True)
-    # 👉  Future hook: pass `img_path` to a vision agent here.
+    # 👉 To analyse with a vision agent later, call it here with `img_path`.
 
 # ──────────────────────────────────────────────────────────────
-#  3.  RUN ANALYTICS PIPELINE
+# 3.  RUN ANALYTICS PIPELINE
 # ──────────────────────────────────────────────────────────────
 if csv_path:
     st.markdown("---")
     st.info("Running analytics pipeline… ⏳")
 
-    report = analytics_coordinator.run(input=csv_path)
+    # Google ADK agents now use .invoke() (sync) instead of .run()
+    report = analytics_coordinator.invoke(input=csv_path)
 
     st.subheader("📝 Analysis & Strategy Report")
     st.text(report)
 
-    # Show charts generated by tool functions if present
+    # Display charts saved by tool functions (if any)
     for plot_name, caption in [
         ("sales_plot.png", "Sales Trend"),
         ("forecast_plot.png", "Forecast Chart"),