Update app.py

app.py

@@ -17,6 +17,10 @@ logging.basicConfig(
 # Flask App
 app = Flask(__name__)
 app.secret_key = 'your_secret_key'
+
+@app.template_filter('basename')
+def basename_filter(path):
+    return os.path.basename(path)
 app.config['UPLOAD_FOLDER'] = 'uploads/'
 app.config['RESULT_FOLDER'] = 'results/'
 
@@ -188,20 +192,19 @@ def process_file():
     except Exception as e:
         logging.exception(f"Error during primary processing: {e}")
         flash('Primary processing failed, attempting backup model...')
-
-        # Correct unpacking (3 values)
-        LLMdata_v1, extracted_text, processed_Img = extract_text_from_images(file_paths)
-        logging.info(f"Extracted text(Backup): {extracted_text}")
-        logging.info(f"Processed images(Backup): {processed_Img}")
+        
+        # We don't call extract_text_from_images AGAIN because it already ran and produced its results
+        # in the variables assigned at line 162. We just need to ensure they are available here.
+        # If extraction completely failed (raised before return), then we have nothing to do.
+        if 'extracted_text' not in locals() or not extracted_text:
+             flash('Critical failure: Could not extract text from image.')
+             return redirect(url_for('index'))
         
         LLMdata = {}
         try:
-            if extracted_text:
-                text = json_to_llm_str(extracted_text)
-                LLMdata = NER_Model(text)
-                logging.info(f"NER model data: {LLMdata}")
-            else:
-                logging.warning("No extracted text available for backup model")
+            text = json_to_llm_str(extracted_text)
+            LLMdata = NER_Model(text)
+            logging.info(f"NER model data: {LLMdata}")
         except Exception as backup_e:
             logging.exception(f"Error during backup processing: {backup_e}")
             flash('Backup processing also failed')
@@ -209,10 +212,8 @@ def process_file():
 
     # Final merge using backup data if we reached here
     cont_data = process_extracted_text(extracted_text)
-    logging.info(f"Contextual data: {cont_data}")
-
     processed_data = process_resume_data(LLMdata, cont_data, extracted_text)
-    logging.info(f"Processed data: {processed_data}")
+    logging.info(f"Final merged data: {processed_data}")
 
     session['processed_data'] = processed_data
     session['processed_Img'] = processed_Img