Update app.py

app.py

@@ -12,6 +12,9 @@ from langchain_docling.loader import ExportType
 
 from job_samples import job_list
 
+from ranker import rank_resume, rank_resume_multi
+from embeddings import rank_jobs, rank_jobs_multi
+
 
 app = FastAPI()
 
@@ -94,20 +97,23 @@ def process_scoring():
     # score_resume_ids = [x.split("_")[0] for x in scoring.keys()]
     # score_job_ids = [x.split("_")[1] for x in scoring.keys()]
     # scoring_keys = scoring.keys()
-
+    # scs = {"resume_ids":[], "job_ids":[]}
     for resume in resumes:
         for job in jobs:
             sc = f"{resume['id']}_{job['id']}"
-            rank_score = process_input(job["page_content"], [resume["page_content"]])
-            suggest_score = process_input_suggestion(resume["page_content"], [job["page_content"]])
+            # scs.append({"resume_id"})
+            # scs["resume_ids"].append(resume)
+            # scs["job_ids"].append(job['id'])
             if sc not in scoring.keys():
+                rank_score = process_input(job["page_content"], [resume["page_content"]])
+                suggest_score = process_input_suggestion(resume["page_content"], [job["page_content"]])
                 scoring[sc] = {
                     "resume_id":resume["id"],
                     "job_id":job["id"],
                     "rank_score":rank_score[0],
                     "suggestion_score":suggest_score[0]
                 }
-                
+    
 
     # for resume in resumes:
     #     if resume["id"] not in score_resume_ids:
@@ -166,11 +172,6 @@ async def get_scoring():
 
 
 
-
-
-from ranker import rank_resume 
-from embeddings import rank_jobs
-
 # Function to wrap the existing rank_resume
 def process_input(job_description, resumes):
     print("[JOB DESC]", job_description)