yay!

app.py

@@ -1,6 +1,7 @@
 import torch
 import sys
 import pathlib
+from pathlib import Path
 from fastai.vision.all import load_learner, PILImage
 import gradio
 from gradio import Interface, Image, Label
@@ -12,7 +13,8 @@ def custom_resnet_splitter(model):
 
 def predict_parrot_species(image):
     try:
-        learn_inf = load_learner('parrotclass.pkl')
+        model_path = Path('parrotclass.pkl')  # Use Path instead of a string
+        learn_inf = load_learner(model_path)
         pred, _, _ = learn_inf.predict(image)
         return pred
     except Exception as e:
@@ -20,6 +22,7 @@ def predict_parrot_species(image):
         return "Error during inference"
 
 
+
 input_image = Image(shape=(224, 224))
 output_label = Label()