Update app.py

app.py

@@ -14,9 +14,9 @@ from PIL import Image
 # Paths to your models
 MODEL_TYPES = ["HOG & Logistic Regression","CRNN CTC","Fine Tuned TrOCR"]
 
-clf_hog = joblib.load('/content/HOG_LogRes.pkl')
+clf_hog = joblib.load('./HOG_LogRes.pkl')
 
-clf_crnn = tf.keras.models.load_model('/content/crnn_ctc.keras')
+clf_crnn = tf.keras.models.load_model('./crnn_ctc.keras')
 num_to_char = joblib.load('./decoder.joblib')
 
 processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-printed")
@@ -109,8 +109,8 @@ interface = gr.Interface(
     title="Automatic License Plate Recognition",
     description="Provide the file path of a license plate image, choose a model, and the system will predict the text on it. These Models are all trained on the same dataset, one model might be better compared to the other",
     examples=[
-        ['/content/B8837NR.jpg', ''],
-        ['/content/E5105OD.jpg', '']
+        ['./B8837NR.jpg', 'Fine Tuned TrOCR'],
+        ['./E5105OD.jpg', 'Fine Tuned TrOCR']
     ]
 )