Update app.py

app.py

@@ -16,6 +16,7 @@ import math
 kw_extractor = yake.KeywordExtractor(n=2, top=30)
 embedder = SentenceTransformer("all-MiniLM-L6-v2")
 genai_client = genai.Client(api_key=os.getenv("GEMINI_API_KEY"))
+PER_PAGE = 10
 
 SYSTEM_PROMPT = """
 You are a job-matching assistant. Given a resume and job listings,
@@ -118,13 +119,9 @@ def format_posted(job):
 # 6️⃣ Main pipeline
 def find_jobs(file, added_kw, use_ai):
     resume = extract_text(file) or ""
-    print("Resume", resume)
-    base_kws = added_kw.split(",") if added_kw.strip() else extract_keywords(resume)[:5]
-    print("Base_kws", base_kws)
+    base_kws = added_kw.split(",") if added_kw.strip() else extract_keywords(resume)
     keywords = [kw.strip() for kw in base_kws if kw.strip()]
-    print("Keywords", keywords)
-    jobs = fetch_arbeitnow(keywords) + fetch_remotive(keywords) + fetch_remoteok(keywords)
-    print("Jobs", jobs)
+    jobs = fetch_arbeitnow(keywords) + fetch_remotive(keywords) + fetch_remoteok(keywords)    
     ranked = rank_jobs(resume, jobs)
     print("Rank_jobs", ranked)
 
@@ -149,10 +146,10 @@ def find_jobs(file, added_kw, use_ai):
     explanation = refine_with_ai(ranked, resume) if use_ai else ""
     return table, explanation
 
-def paginate(table, page):
-    per_page = 10
-    start = (page-1)*per_page
-    return table[start:start+per_page]
+# def paginate(table, page):
+#     per_page = 10
+#     start = (page-1)*per_page
+#     return table[start:start+per_page]
 
 # 7️⃣ Jobs in Markdown
 def jobs_to_markdown(table, explanation, page, per_page=10):
@@ -174,14 +171,20 @@ def jobs_to_markdown(table, explanation, page, per_page=10):
             f"| {row['Role']} | {row['Company']} | {row['Location']} "
             f"| {row['Posted']} | {row['Score']} | {link} |\n"
         )
-    # Append explanation *only* on page 1
-    if page == 1 and explanation:
-        md += "\n---\n**AI Explanation:**\n\n" + explanation
+    # # Append explanation *only* on page 1
+    # if page == 1 and explanation:
+    #     md += "\n---\n**AI Explanation:**\n\n" + explanation
     return md
 
+def load_jobs_and_pages(resume, added_kw, use_ai):
+    full_table, explanation = find_jobs(resume, added_kw, use_ai)  # your existing pipeline
+    total_pages = max(1, math.ceil(len(full_table) / PER_PAGE))
+    # Return: table-state, explanation-state, slider update
+    return full_table, explanation, gr.update(value=1, maximum=total_pages)
+
 # 7️⃣ Gradio UI
 with gr.Blocks(theme=gr.themes.Base()) as demo:
-    gr.Markdown("## 🌍 Global Job Finder (Arbeitnow · Remotive · RemoteOK)")
+    gr.Markdown("## 🌍 Global Job Finder")
     with gr.Row():
         resume = gr.File(label="Upload Resume (PDF/DOCX)")
         added = gr.Textbox(label="Add keywords (comma-separated)", placeholder="e.g. Python, ML")
@@ -195,28 +198,34 @@ with gr.Blocks(theme=gr.themes.Base()) as demo:
     expl_state = gr.State("")
 
     # outputs
-    md_out   = gr.Markdown()
-    page_sel = gr.Slider(1, 1, step=1, value=1, label="Page")
+    jobs_md = gr.Markdown()
+    expl_md = gr.Markdown()
+    page_sel = gr.Slider(minimum=1, maximum=1, step=1, value=1, label="Page")
 
-    # 1) When "Find Jobs" is clicked:
-    #    - run find_jobs → (full_table, explanation)
-    #    - store in state, reset page to 1
+    # 1) On search: populate states & slider
     find_btn.click(
-        fn=lambda f,k,ai: (*find_jobs(f,k,ai), 1),
+        fn=load_jobs_and_pages,
         inputs=[resume, added, use_ai],
         outputs=[jobs_state, expl_state, page_sel]
     ).then(
-        #  render page 1 immediately
-        fn=lambda tbl, expl, pg: jobs_to_markdown(tbl, expl, pg),
-        inputs=[jobs_state, expl_state, page_sel],
-        outputs=md_out
+        fn=lambda tbl, pg: jobs_to_markdown(tbl, pg),
+        inputs=[jobs_state, page_sel],
+        outputs=[jobs_md]
     )
 
-    # 2) When page changes, re‑render just the Markdown
+    # 2) On page change: re-render table only
     page_sel.change(
-        fn=lambda tbl, expl, pg: jobs_to_markdown(tbl, expl, pg),
-        inputs=[jobs_state, expl_state, page_sel],
-        outputs=md_out
+        fn=lambda tbl, pg: jobs_to_markdown(tbl, pg),
+        inputs=[jobs_state, page_sel],
+        outputs=[jobs_md]
+    )
+
+    # 3) Always render explanation from state
+    expl_state.change(
+        fn=lambda expl: expl,
+        inputs=[expl_state],
+        outputs=[expl_md],
+        queue=False
     )
 
 if __name__ == "__main__":