Update app.py

app.py

@@ -8,22 +8,28 @@ import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
 
 
-MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "4096"))
+MAX_INPUT_TOKEN_LENGTH = 8192
 
 
 DESCRIPTION = """\
 # CataLlama-v0.1 Chat
 This Space demonstrates model [CataLlama-v0.1-Instruct-DPO](https://huggingface.co/catallama/CataLlama-v0.1-Instruct-DPO).
 
-CataLlama is a fine-tune on Llama-3 8B to enhance it's proficiency on the Catalan Language.
-"""
+CataLlama is a fine-tune of Llama-3-8B to enhance it's proficiency on the Catalan Language.
+
+The model is capable of performing the following tasks in Catalan:
 
-LICENSE = """
-<p/>
----
-As a derivate work of [Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) by Meta,
-this demo is governed by the original [llama-3 license](https://llama.meta.com/llama3/license)
+- *Information extraction (suitable for RAG)*
+- *Named Entity Recognition (NER)*
+- *Translation from English to Catalan and Catalan to English*
+- *Summarization - both short form and long form*
+- *Chat*
+- *Sentiment analysis*
+- *Open question answering*
+"""
 
+LICENSE = """\
+As a derivate work of [Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) by Meta, this demo is governed by the original [llama-3 license](https://llama.meta.com/llama3/license)
 """
 
 if not torch.cuda.is_available():