Update app.py

app.py

@@ -95,42 +95,27 @@ def make_chart(row, filtered_df):
 
 
 # ── AI explanation (rule-based, no API key needed) ─────────
+import requests
+
 def explain(row):
-    name = row["restaurant_name"]
-    label = row["worth_it_label"]
-    score = row["true_score"]
-    price = row["price_category"]
-    sent = row["sentiment_score"]
-    stars = row["star_rating"]
-    vols = row["sentiment_volatility"]
-    pf = row["price_fairness"]
-
-    sentiment_word = "positive" if sent > 0.2 else ("neutral" if sent > -0.2 else "negative")
-    volatility_note = (
-        " Reviews are polarised — strong opinions on both sides."
-        if vols > 0.5 else
-        " Reviews are consistent."
-    )
-    value_note = (
-        f" At {price}, it delivers excellent value for money."
-        if pf > 0.6 else
-        f" At {price}, the price-to-experience ratio is fair."
-        if pf > 0.3 else
-        f" At {price}, some diners feel it falls short of expectations."
-    )
+    payload = {
+        "restaurant_name": row["restaurant_name"],
+        "true_score": float(row["true_score"]),
+        "worth_it_label": row["worth_it_label"],
+        "sentiment_score": float(row["sentiment_score"]),
+        "star_rating": float(row["star_rating"]),
+        "price_category": row["price_category"],
+    }
 
-    if label == "Worth It":
-        verdict = f"This restaurant scores {score:.0f}/100 and is genuinely worth a visit."
-    elif label == "Maybe":
-        verdict = f"This restaurant scores {score:.0f}/100 — a solid option depending on your preferences."
-    else:
-        verdict = f"This restaurant scores {score:.0f}/100 — consider alternatives before booking."
-
-    return (
-        f"**{name}** — _{label}_\n\n"
-        f"{verdict} "
-        f"Customer reviews are broadly {sentiment_word} (raw sentiment: {sent:+.2f}), "
-        f"and the star rating is {stars:.1f}/5.{volatility_note}{value_note}"
+    try:
+        r = requests.post(
+            "https://scohen3012.app.n8n.cloud/webhook/explain",
+            json=payload,
+            timeout=8
+        )
+        return r.json().get("explanation", "No explanation returned.")
+    except Exception as e:
+        return f"Explanation service unavailable: {e}"
     )