simplify

app.py

@@ -98,14 +98,13 @@ with gr.Blocks(title="OCR QA Demo") as demo:
         """
     # 🔍 Optical Character Recognition (OCR) Quality Assessment Demo
 
-    The demo showcases how the [Impresso Project](https://impresso-project.ch) assesses the quality of ORC transcripts by estimating the proportion of (un)known words with respect to a large clean text corpus.
+    This demo evaluates OCR quality by comparing the unique words in a text against large reference vocabularies. 
+    It reports:
+    - **potential OCR errors** (unrecognized unique tokens) and known tokens
+    - an overall **quality score** between 0.0 (poor) and 1.0 (perfect), defined as `score = known/(known + unknown)`
 
-    It returns:
-    - a list of **potential OCR errors** (unrecognized unique tokens) as well as the known unique tokens, and
-    - a **quality score** between 0.0 (poor) and 1.0 (excellent) computed as `score = known/(known + unknown)`
 
-
-    Try the example below (a German text with typical OCR errors), or paste your own OCR-processed text to assess its quality.
+    Try the German example below or paste your own OCR text.
     """
     )