Update app.py

app.py

@@ -74,10 +74,6 @@ key_list = ["person_name","dob_value","gender_value","phonenumber_value","email_
                 "designation_value","degree_value","skill_value"]
 label2id = {v: k for k, v in id2label.items()}
 def pred_resume(pdf_path) -> dict:
-    print("\n--------------------------------------------------------------------------------------------------------------------------\n")
-    print("New resume inference at: ", datetime.utcnow())
-    print("Pdf name: ", pdf_path.name)
-    print("\n--------------------------------------------------------------------------------------------------------------------------\n")
     global key_list, device
     result = {}
     for i in key_list:
@@ -148,6 +144,11 @@ def pred_resume(pdf_path) -> dict:
             if pred in key_list:
                 result[pred].append(text_reverse[str(box)])
     result = {k: list(set(v)) for k, v in result.items()}
+    print("\n--------------------------------------------------------------------------------------------------------------------------\n")
+    print("New resume inference at: ", datetime.utcnow())
+    print("Pdf name: ", pdf_path.name)
+    print("Result: ", result)
+    print("\n--------------------------------------------------------------------------------------------------------------------------\n")    
     return str(result)
 def norm(result: str) -> str:
     result = ast.literal_eval(result)