Update app.py

app.py

@@ -135,17 +135,25 @@ def fetch_weather_trend(lat, lon):
     return 'same'
 
 def generate_recommendations(original_severity, weather_trend):
+    """
+    Generate management recommendations based on original severity and weather trend.
+    Returns a formatted markdown string.
+    """
     projected = task_rules[original_severity][weather_trend]
     rec = recommendations[projected]
-    return (f"**Original Severity:** {original_severity.title()}  \"  \
-            f"**Weather Trend:** {weather_trend.title()}  \"  \
-            f"**Projected Severity:** {projected.title()}\n\n"  \
-            "### Management Recommendations:\n"  \
-            f"**Immediate:** {rec['immediate']}\n\n"  \
-            f"**Evacuation:** {rec['evacuation']}\n\n"  \
-            f"**Containment:** {rec['containment']}\n\n"  \
-            f"**Prevention:** {rec['prevention']}\n\n"  \
-            f"**Education:** {rec['education']}")
+
+    # Build the output string using f-strings and implicit concatenation
+    return (
+        f"**Original Severity:** {original_severity.title()}\n"
+        f"**Weather Trend:** {weather_trend.title()}\n"
+        f"**Projected Severity:** {projected.title()}\n\n"
+        "### Management Recommendations:\n"
+        f"**Immediate:** {rec['immediate']}\n\n"
+        f"**Evacuation:** {rec['evacuation']}\n\n"
+        f"**Containment:** {rec['containment']}\n\n"
+        f"**Prevention:** {rec['prevention']}\n\n"
+        f"**Education:** {rec['education']}"
+    )
 
 def pipeline(image):
     if image is None: