Update app.py

app.py

@@ -3,10 +3,7 @@
 from transformers import AutoModelForCausalLM, AutoTokenizer, AutoTokenizer, AutoModelForSeq2SeqLM, set_seed, pipeline
 import gradio as gr
 
-### need more GPU power to call better models !!!!!!
-
-#model = AutoModelForSeq2SeqLM.from_pretrained("bigscience/T0pp", use_cache=True) # 11B param
-#tokenizer = AutoTokenizer.from_pretrained("bigscience/T0pp")
+### need more GPU power to call  T0pp 
 
 model = AutoModelForCausalLM.from_pretrained('EleutherAI/gpt-neo-1.3B', use_cache=True)
 tokenizer = AutoTokenizer.from_pretrained('EleutherAI/gpt-neo-1.3B')
@@ -20,7 +17,7 @@ def generate(Name, Position, Organization, max_length=500, top_k=1, temperature=
   return tokenizer.decode(sample[0], truncate_before_pattern=[r"\n\n^#", "^'''", "\n\n\n"])
 
 title = "Motivation Letter Generator"
-article = "Impress your employer"
+article = "For now this still a toy demo and no good results will came out. PS: if you have enough resources try using stronger models !"
 
 gr = gr.Interface(fn = generate, inputs=["text", "text", "text"], outputs="text", title=title, article=article)