Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from transformers import GPT2Tokenizer, GPT2LMHeadModel
 
 # Load the model and tokenizer
-model_name = "migueldeguzmandev/fitness_ai"
+model_name = "migueldeguzmandev/leilan_v1"
 tokenizer = GPT2Tokenizer.from_pretrained(model_name)
 model = GPT2LMHeadModel.from_pretrained(model_name)
 
@@ -49,10 +49,10 @@ interface = gr.Interface(
         gr.Slider(minimum=0.00000000000000000000001, maximum=1.0, value=0.7, step=0.1, label="Temperature"),
     ],
     outputs=gr.Textbox(label="Model Response"),
-    title="Hello, I'm Fitness AI!",
+    title="Leilan, Version 1",
     description=(
         """
-        (Fitness AI is trained with fitness, nutrition and training themed responses to random questions.) 
+        (This is somewhat a fascinating build, let's see....original inspiration? see this [lesswrong post](https://www.lesswrong.com/posts/grY9uSDoLBuen9py4/petertodd-s-last-stand-the-final-days-of-open-gpt-3-research#The___Leilan__dataset) by Matthew Watkins!) 
         """
     ),
 #    examples=examples,