Update app.py

app.py

@@ -16,7 +16,7 @@ def detect_objects(image):
         temp_file_path = temp_file.name
 
     # Lakukan prediksi pada gambar
-    predictions = model.predict(temp_file_path, confidence=70, overlap=80).json()
+    predictions = model.predict(temp_file_path, confidence=60, overlap=80).json()
     
     # Menghitung jumlah objek per kelas
     class_count = {}
@@ -38,7 +38,7 @@ def detect_objects(image):
     result_text += f"\nTotal Product Nestle: {total_count}" 
     
     # Menyimpan gambar dengan prediksi
-    output_image = model.predict(temp_file_path, confidence=70, overlap=80).save("/tmp/prediction.jpg")
+    output_image = model.predict(temp_file_path, confidence=60, overlap=80).save("/tmp/prediction.jpg")
     
     # Hapus file sementara setelah prediksi
     os.remove(temp_file_path)