Update app.py

app.py

@@ -18,7 +18,7 @@ Three main tasks are available:
 
 - Name Entity Recognition (NER), with an English-only model that generates the identified characters. 
 
-- Sentiment Analysis (SA), with one English-only model and a large multilingual model for classification.
+- Sentiment Analysis (SA), with two English-only models (one for multi-label classification, and one for generation) and a large multilingual model for multi-label classification.
 
 - Relation Extraction (RE), with an English-only model that identifies relevant characters and existing relations between them following the Activity feature of the Hall and Van de Castle framework.
 
@@ -103,8 +103,8 @@ interface_model_RE = gr.Interface.load(
             description=description_R,
             examples=examples_re,
             title="RE Generation",
-            max_length=128,
 )
+interface_model_RE.model.max_length = 128
 
 interface_model_NER = gr.Interface.load(
             name="huggingface/DReAMy-lib/t5-base-DreamBank-Generation-NER-Char",