Update app.py

app.py

@@ -57,12 +57,13 @@ with tabs[0]:
                         fixed = quick_quality_fix(clean, want_hashtags=add_hashtags, allow_emoji=include_emoji)
                         if fixed is None:
                             corrective = (
-                                + f"\n\nRegenerate a full LinkedIn post around {words} words total, "
-                                "structured in 4–6 short paragraphs (each 2–3 lines). "
-                                "Keep it scannable, professional, and engaging. "
-                                "include one concrete metric or date, "
-                                f"{'max 5 emoji' if include_emoji else 'no emojis'}, "
-                                f"{'1–2 niche hashtags at the end' if add_hashtags else 'no hashtags'}."
+                                prompt
+                                +  f"\n\nRegenerate a full LinkedIn post around {words} words total, "
+                                   "structured in 4–6 short paragraphs (each 2–3 lines). "
+                                   "Keep it scannable, professional, and engaging. "
+                                   "include one concrete metric or date, "
+                                   f"{'max 5 emoji' if include_emoji else 'no emojis'}, "
+                                   f"{'1–2 niche hashtags at the end' if add_hashtags else 'no hashtags'}."
                             )
                             raw2 = generate_post(corrective, model, temperature, top_p, max_tokens)
                             clean2 = dedupe_sentences(strip_labels(raw2))