Update app.py

app.py

@@ -218,36 +218,42 @@ def find_jobs(file, added_kw, use_ai):
     explanation = refine_with_ai(ranked, resume) if use_ai else ""
     return table, explanation
 
-# 8️⃣ Jobs in Markdown
-def jobs_to_markdown(table, page, per_page=PER_PAGE):
+# 8️⃣ Jobs in DataFrame format
+def jobs_to_dataframe(table, page, per_page=PER_PAGE):
     total = len(table)
     pages = max(1, math.ceil(total / per_page))
     page = max(1, min(page, pages))
     start, end = (page-1)*per_page, page*per_page
     slice_ = table[start:end]
-
-    md  = f"**Showing jobs {start+1}–{min(end,total)} of {total} (Page {page}/{pages})**\n\n"
-    md += "| Role | Company | Type | Location | Posted | Score | Summary | Apply |\n"
-    md += "| ---- | ------- | ---- | -------- | ------ | ----- | ------- | ----- |\n"
+    
+    # Convert to list of lists for DataFrame
+    df_data = []
     for row in slice_:
-        link = f"[Apply]({row['Apply']})" if row['Apply'] else ""
-        # Truncate summary if too long for table display
-        summary = row['Summary'][:100] + "..." if len(row['Summary']) > 100 else row['Summary']
-        md += (
-            f"| {row['Role']} | {row['Company']} | {row['Company Type']} | {row['Location']} "
-            f"| {row['Posted']} | {row['Score']} | {summary} | {link} |\n"
-        )
-    return md
+        # Create clickable link for apply URL
+        apply_link = f'<a href="{row["Apply"]}" target="_blank">Apply</a>' if row['Apply'] else "N/A"
+        
+        df_data.append([
+            row['Role'],
+            row['Company'], 
+            row['Company Type'],
+            row['Location'],
+            row['Posted'],
+            row['Score'],
+            row['Summary'],
+            apply_link
+        ])
+    
+    return df_data, f"Showing jobs {start+1}–{min(end,total)} of {total} (Page {page}/{pages})"
 
 def load_jobs_and_pages(resume, added_kw, use_ai):
     full_table, explanation = find_jobs(resume, added_kw, use_ai)
     total_pages = max(1, math.ceil(len(full_table) / PER_PAGE))
     slider_update = gr.update(value=1, maximum=total_pages)
-    first_page_md = jobs_to_markdown(full_table, 1)    
+    first_page_data, page_info = jobs_to_dataframe(full_table, 1)    
     expl_header = "### AI Explanation" if explanation else ""
     print("Header", expl_header)
     
-    return full_table, explanation, expl_header, slider_update, first_page_md
+    return full_table, explanation, expl_header, slider_update, first_page_data, page_info
 
 # 9️⃣ Gradio UI
 with gr.Blocks(theme=gr.themes.Base()) as demo:
@@ -267,23 +273,40 @@ with gr.Blocks(theme=gr.themes.Base()) as demo:
 
     jobs_state = gr.State([])           # holds full table
     page_sel   = gr.Slider(1, 1, step=1, value=1, label="Page")
-    jobs_md    = gr.Markdown()          # shows the current page's markdown
+    
+    # Page info display
+    page_info = gr.Markdown("")
+    
+    # DataFrame for jobs display
+    jobs_df = gr.DataFrame(
+        headers=["Role", "Company", "Type", "Location", "Posted", "Score", "Summary", "Apply"],
+        datatype=["str", "str", "str", "str", "str", "str", "str", "html"],
+        interactive=False,
+        wrap=True,
+        max_rows=PER_PAGE,
+        value=[]
+    )
+    
     expl_md_h  = gr.Markdown()
     expl_md    = gr.Markdown()          # shows AI explanation
 
     # 1) On Find Jobs:
-    #    - load the jobs, explanation, slider max, and first-page markdown
+    #    - load the jobs, explanation, slider max, and first-page data
     find_btn.click(
         fn=load_jobs_and_pages,
         inputs=[resume, added, use_ai],
-        outputs=[jobs_state, expl_md, expl_md_h, page_sel, jobs_md]
+        outputs=[jobs_state, expl_md, expl_md_h, page_sel, jobs_df, page_info]
     )
 
-    # 2) On page change, re-render only the table markdown
+    # 2) On page change, re-render only the table data
+    def update_page_display(tbl, pg):
+        df_data, info = jobs_to_dataframe(tbl, pg)
+        return df_data, info
+    
     page_sel.change(
-        fn=lambda tbl, pg: jobs_to_markdown(tbl, pg),
+        fn=update_page_display,
         inputs=[jobs_state, page_sel],
-        outputs=[jobs_md]
+        outputs=[jobs_df, page_info]
     )
 
 if __name__ == "__main__":