no message

app.py

@@ -22,6 +22,15 @@ COLS = st.columns([0.60, 0.40])
 SCROLLABLE_TEXT = COLS[1].container(height=500)
 
 
+def extract_file_name(image_object):
+    file_name = image_object.filename
+    return file_name
+
+
+def extract_index(file_name):
+    return "flag: todo"
+
+
 def classify_full_dataset(shosen_dataset_name, chosen_model_name):
     image_count = 0
      
@@ -36,17 +45,26 @@ def classify_full_dataset(shosen_dataset_name, chosen_model_name):
         image_object = dataset['pasta'][i-1]["image"]
         SCROLLABLE_TEXT.image(image_object, caption="Uploaded Image", width=300)
         
+        
+        file_name = extract_file_name(image_object)
+        SCROLLABLE_TEXT.write(f"file_name: {file_name}")
+        image_index = extract_index(file_name)
+        SCROLLABLE_TEXT.write(f"image_index: {image_index}")
+        
+        
+        
         image_object_texte_data = dataset['pasta'][i-1]
         SCROLLABLE_TEXT.write(f"image_object_texte_data: {image_object_texte_data}")
         
         
-        teste1 = image_object._getexif()        
+ 
         SCROLLABLE_TEXT.write(f"teste1 (image_object._getexif()): {teste1}")            
         
-        
         teste2 = image_object._getexif().items()          
         SCROLLABLE_TEXT.write(f"teste2 (image_object._getexif().items()): {teste2}")
         
+        
+        
         #extract_metadata = { ExifTags.TAGS[k]: v for k, v in image_object._getexif().items() if k in ExifTags.TAGS }
         #SCROLLABLE_TEXT.write(f"extract_metadata: {extract_metadata}")