Update app.py

app.py

@@ -57,9 +57,11 @@ with tabs[0]:
                         fixed = quick_quality_fix(clean, want_hashtags=add_hashtags, allow_emoji=include_emoji)
                         if fixed is None:
                             corrective = (
-                                prompt + "\n\nRegenerate as 4–6 short lines, each under 18 words, "
+                                + 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 1 emoji' if include_emoji else 'no emojis'}, "
+                                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)