path

app.py

@@ -24,6 +24,7 @@ import signal
 import shutil
 from datetime import datetime
 import zipfile
+from pathlib import Path
 
 # LLM
 import argparse
@@ -101,19 +102,21 @@ def upload_files():
     return render_template('index.html')
 
 
-from pathlib import Path
-from fastai.vision import load_learner, open_image
-
 def make_predictions(image_paths):
+    temp = None
     try:
-        model_path = Path('model/export')
+        # For Windows OS
+        temp = pathlib.PosixPath  # Save the original state
+        pathlib.PosixPath = pathlib.WindowsPath  # Change to WindowsPath temporarily
+        
+        model_path = Path(r'model/export')
         learner = load_learner(model_path)
         
         predictions = []
 
         for image_path in image_paths:
             # Open the image using fastai's open_image function
-            image = open_image(Path(image_path))
+            image = open_image(image_path)
 
             # Make a prediction
             prediction_class, prediction_idx, probabilities = learner.predict(image)
@@ -127,6 +130,9 @@ def make_predictions(image_paths):
 
     except Exception as e:
         return {"error in make_predictions": str(e)}
+        
+    finally:
+        pathlib.PosixPath = temp 
 
 
 @app.route('/predict/<filenames>', methods=['GET', 'POST'])