Update app.py

app.py

@@ -80,16 +80,20 @@ def analyze_data(image, df):
         thresholds = {"engine_temp": 100, "oil_pressure": 25, "tire_pressure": 28, "battery_voltage": 11.5}
         
         if any(df["engine_temp"] > thresholds["engine_temp"]):
-            anomalies.append("Engine temperature is above normal.")
+            anomalies.append("Engine temperature is above normal detected.")
         if any(df["oil_pressure"] < thresholds["oil_pressure"]):
-            anomalies.append("Oil pressure is below normal.")
+            anomalies.append("Oil pressure is below normal detected.")
         if any(df["tire_pressure"] < thresholds["tire_pressure"]):
-            anomalies.append("Tire pressure is below normal.")
+            anomalies.append("Tire pressure is below normal detected.")
         if any(df["battery_voltage"] < thresholds["battery_voltage"]):
-            anomalies.append("Battery voltage is below normal.")
+            anomalies.append("Battery voltage is below normal detected.")
 
         # Recommendations
-        recommendations = f"Recommendations based on analysis:\n\n1. {'; '.join(anomalies)}\n\n2. {damage_output}"
+        recommendations = "Analysis:\n\n"
+        recommendations += "\n".join([f"- {anomaly}" for anomaly in anomalies]) + "\n\n"
+        recommendations += f"Damage Analysis:\n- {damage_output}\n\n"
+        recommendations += "Recommendations:\n\n- Please make repairs at a nearby service station for optimal car performance."
+
         return recommendations, plot_sensor_data(df)
 
     except Exception as e: