using original function to get scores

helper.py

@@ -184,27 +184,27 @@ import time
 # These are the functions called by scoring(): extract_skills, match_personality_traits, 
 # extract_experience, and extract_education
 
-def get_scores_optimized(df, job_description):
-    print('inside scores optimized..............')
-    start_time = time.time()
+# def get_scores_optimized(df, job_description):
+#     print('inside scores optimized..............')
+#     start_time = time.time()
     
-    # Method 1: Use chunking with the original apply method
-    chunk_size = 32
-    results = []
+#     # Method 1: Use chunking with the original apply method
+#     chunk_size = 32
+#     results = []
     
-    for i in range(0, len(df), chunk_size):
-        chunk = df.iloc[i:i+chunk_size]
-        chunk_results = chunk['Resume'].apply(lambda x: scoring(x, job_description))
-        results.extend(chunk_results.tolist())
+#     for i in range(0, len(df), chunk_size):
+#         chunk = df.iloc[i:i+chunk_size]
+#         chunk_results = chunk['Resume'].apply(lambda x: scoring(x, job_description))
+#         results.extend(chunk_results.tolist())
     
-    # Convert the list of dictionaries into a DataFrame and join with original
-    scores_df = pd.DataFrame(results, index=df.index)
+#     # Convert the list of dictionaries into a DataFrame and join with original
+#     scores_df = pd.DataFrame(results, index=df.index)
     
-    end_time = time.time()
-    print(f"Processing took {end_time - start_time:.2f} seconds")
+#     end_time = time.time()
+#     print(f"Processing took {end_time - start_time:.2f} seconds")
     
-    # Return the original dataframe with the new columns
-    return pd.concat([df, scores_df], axis=1)
+#     # Return the original dataframe with the new columns
+#     return pd.concat([df, scores_df], axis=1)
 
 
 # current_time=datetime.now()

parse_job_description.py

@@ -7,8 +7,8 @@ import json
 
 load_dotenv()
 
-## For hugging face
-os.environ['OPENAI_API_KEY']=os.getenv('OPENAI_API_KEY')
+# ## For hugging face
+# os.environ['OPENAI_API_KEY']=os.getenv('OPENAI_API_KEY')
 
 ## for local run
 os.environ['OPENAI_API_KEY']=os.getenv('OPENAI_API_KEY')