Update app.py

app.py

@@ -10,6 +10,7 @@ from sentence_transformers import SentenceTransformer
 from sklearn.metrics.pairwise import cosine_similarity
 from google import genai
 from google.genai.types import GenerateContentConfig, ThinkingConfig
+import datetime from datetime
 
 # Initialize components
 kw_extractor = yake.KeywordExtractor(n=1, top=10)
@@ -77,6 +78,13 @@ def refine_with_ai(ranked, resume_text):
     )
     return resp.text or "<No explanation>"
 
+def format_posted(job):
+    raw = job.get("publication_date") or job.get("created_at") or job.get("date") or ""
+    if isinstance(raw, int):
+        # RemoteOK returns an int timestamp
+        return datetime.fromtimestamp(raw).strftime("%Y-%m-%d")
+    return str(raw)[:10]
+
 # 6️⃣ Main pipeline
 def find_jobs(file, added_kw, use_ai):
     resume = extract_text(file) or ""
@@ -88,7 +96,7 @@ def find_jobs(file, added_kw, use_ai):
     jobs = fetch_arbeitnow(keywords) + fetch_remotive(keywords) + fetch_remoteok(keywords)
     print("Jobs", jobs)
     ranked = rank_jobs(resume, jobs)
-    print("Rank_jobs", rank_jobs)
+    print("Rank_jobs", ranked)
 
     table = []
     for job, score in ranked: