Keep hosted AI Insights stable

Select an evidence-grounded local analyst brief on Hugging Face while retaining Gemini support for unrestricted deployments.

app.py

@@ -10,7 +10,12 @@ import pandas as pd
 import plotly.express as px
 import streamlit as st
 
-from datapilot.analyst import dataframe_csv, gemini_dataset_summary, inspect_dataset
+from datapilot.analyst import (
+    dataframe_csv,
+    evidence_dataset_summary,
+    gemini_dataset_summary,
+    inspect_dataset,
+)
 from datapilot.config import get_settings
 from datapilot.data import SAMPLE_DATASETS, load_sample
 from datapilot.workflow import run_analysis
@@ -325,7 +330,12 @@ with explore:
         st.plotly_chart(fig, width="stretch")
 
 with ai_tab:
-    st.markdown("#### Ask Gemini to interpret the computed evidence")
+    hosted_evidence_mode = bool(os.getenv("SPACE_ID"))
+    st.markdown(
+        "#### Generate an evidence-grounded analyst brief"
+        if hosted_evidence_mode
+        else "#### Ask Gemini to interpret the computed evidence"
+    )
     st.caption(
         "AI interpretation based on dataset metadata and limited redacted samples. Verify against source documentation."
     )
@@ -338,14 +348,17 @@ with ai_tab:
         "Generate AI analyst brief",
         disabled=not bool(api_key) or ai_future is not None,
     ):
-        st.session_state.ai_future = ai_executor().submit(
-            gemini_dataset_summary,
-            frame.copy(deep=True),
-            profile,
-            api_key,
-            model,
-            list(excluded),
-        )
+        if hosted_evidence_mode:
+            st.session_state.ai_summary = evidence_dataset_summary(frame, profile)
+        else:
+            st.session_state.ai_future = ai_executor().submit(
+                gemini_dataset_summary,
+                frame.copy(deep=True),
+                profile,
+                api_key,
+                model,
+                list(excluded),
+            )
         st.rerun()
 
     ai_future = st.session_state.ai_future