modified paths

pages/Dataset.py

@@ -44,8 +44,8 @@ with tab2:
     st.markdown("### 📊 Training Data Class Distribution")
     
     # CSV path and image folder path (adjust as needed)
-    CSV_PATH = r"D:\\DR_Classification\\dataset\\DR_grading.csv"
-    IMG_FOLDER = r"D:\\DR_Classification\\dataset\\images"  # Folder where all images are stored
+    CSV_PATH = r"D:\DR_Classification\dataset\DR_grading.csv"
+    IMG_FOLDER = r"D:\DR_Classification\dataset\images"  # Folder where all images are stored
 
     # Load CSV
     df = pd.read_csv(CSV_PATH)

pages/Upload_and_Predict.py

@@ -57,7 +57,7 @@ class_names = ['No DR', 'Mild', 'Moderate', 'Severe', 'Proliferative DR']
 
 # Load sample images from CSV with proper label mapping
 @st.cache_data
-def load_sample_images_from_csv(csv_path=r'D:\\DR_Classification\\splits\\test_labels.csv'):
+def load_sample_images_from_csv(csv_path=r'D:\DR_Classification\splits\test_labels.csv'):
     df = pd.read_csv(csv_path)
     samples = defaultdict(list)