Update app.py

app.py

@@ -26,6 +26,7 @@ def haversine(lat1, lon1, lat2, lon2):
     R = 6371
     dlat = math.radians(lat2-lat1)
     dlon = math.radians(lon2-lon1)
+
     a = math.sin(dlat/2)**2 + math.cos(math.radians(lat1))*math.cos(math.radians(lat2))*math.sin(dlon/2)**2
     return R * (2 * math.atan2(math.sqrt(a), math.sqrt(1-a)))
 
@@ -65,9 +66,7 @@ def score(meals, ngo, foodType, expiry, lat, lon):
     elif expiry <= 24:
         urgency += 15
 
-    learning = ngo_learning[ngo["name"]]
-
-    return round(dist_score*0.2 + cap_score*0.2 + urgency*0.55 + learning, 2)
+    return round(dist_score*0.2 + cap_score*0.2 + urgency*0.55 + ngo_learning[ngo["name"]], 2)
 
 def explain(ngo, meals, foodType, score, rank):
 
@@ -78,8 +77,7 @@ Food: {foodType}
 Meals: {meals}
 Score: {score}
 
-Explain in 1–2 lines why this NGO is selected.
-Make each explanation different.
+Give 1–2 line unique explanation. No repetition.
 """
 
     try:
@@ -89,12 +87,13 @@ Make each explanation different.
             temperature=0.8
         ).strip()
     except:
-        return "Matched based on urgency and compatibility."
+        return "Matched based on urgency and suitability."
 
 @app.route("/analyze", methods=["POST"])
 def analyze():
 
     data = request.json
+
     meals = int(data["meals"])
     foodType = data["foodType"]
     expiry = data["expiry"]
@@ -104,6 +103,7 @@ def analyze():
     results = []
 
     for ngo in NGOS:
+
         s = score(meals, ngo, foodType, expiry, lat, lon)
 
         results.append({
@@ -116,6 +116,7 @@ def analyze():
     results.sort(key=lambda x: x["score"], reverse=True)
 
     for i, r in enumerate(results):
+
         ngo_obj = next(n for n in NGOS if n["name"] == r["recipient"])
 
         r["priority"] = (
@@ -130,7 +131,7 @@ def analyze():
 
 @app.route("/")
 def home():
-    return "NourishNet Running"
+    return "NourishNet AI Running 🚀"
 
 if __name__ == "__main__":
     app.run(host="0.0.0.0", port=7860)