Update app.py

Fixing Batch Processing

app.py

@@ -200,13 +200,17 @@ def evaluate_model(labels, preds):
 
     return accuracy, roc_score, report, fig, fig_roc
 
+# Batch processing for all models
 # Batch processing for all models
 def process_zip(zip_file):
     extracted_dir = extract_zip(zip_file.name)
     
+    # Initialize model pipelines (instead of re-using the same pipe in each iteration)
+    model_pipelines = [pipe0, pipe1, pipe2]
+
     # Run classification for each model
     results = {}
-    for idx, pipe in enumerate([pipe0, pipe1, pipe2]):
+    for idx, pipe in enumerate(model_pipelines):  # Ensure each model pipeline is used separately
         labels, preds, images = classify_images(extracted_dir, pipe)
         accuracy, roc_score, report, cm_fig, roc_fig = evaluate_model(labels, preds)
         
@@ -227,6 +231,7 @@ def process_zip(zip_file):
             results['Model_2_accuracy'], results['Model_2_roc_score'], results['Model_2_report'], 
             results['Model_2_cm_fig'], results['Model_2_roc_fig'])
 
+
 # Single image section
 def load_url(url):
     try: