Update app.py

app.py

@@ -56,7 +56,7 @@ Rate on these 5 metrics (score 1-10, where 10 = maximum LinkedIn nonsense):
 1. label="Buzzword-Dichte": Are the buzzwords empty filler, or do they refer to real, specific concepts? Real tools and methodologies (e.g. MLflow, LiteLLM, RAG, specific frameworks) are NOT buzzwords. Empty buzzwords: "synergy", "impact", "journey", "game-changer" used without context.
 2. label="Länge vs. Inhalt": Is the length justified by actual information density? A long post with dense technical content scores LOW. A long post that repeats one obvious idea scores HIGH.
 3. label="Selbstbeweihräuche": Is the post primarily about ego ("look how great we are") or about sharing knowledge? Score HIGH only if the author is the hero, not the content.
-4. label="Hashtag-Overload": Score LOW for 1-6 relevant hashtags. Score HIGH for 10+ hashtags or hashtags irrelevant to the content.
+4. label="Hashtag-Overload": Score 1 for no hashtags, score 2 for 1 hashtag, LOW (3 to 5 score) for 1-6 relevant hashtags. Score HIGH for 10+ hashtags or hashtags irrelevant to the content. Medium (6-8 score) for in between usage, too much then nessacary.
 5. label="Sinnlosigkeits-Index": Could someone learn something concrete from this post? A post with real takeaways, named tools, or specific problems solved scores LOW. Pure inspiration porn scores HIGH.
 
 Reply ONLY with a single valid JSON object. No markdown fences, no backticks, no preamble. Raw JSON only.