Update app.py

app.py

@@ -2,9 +2,9 @@ import torch
 from transformers import (T5ForConditionalGeneration,T5Tokenizer)
 import gradio as gr
 
-best_model_path = "swcrazyfan/Dekingify-T5-Large"
+best_model_path = "swcrazyfan/DeKingify-T5-Large"
 model = T5ForConditionalGeneration.from_pretrained(best_model_path)
-tokenizer = T5Tokenizer.from_pretrained("swcrazyfan/Dekingify-T5-Large")
+tokenizer = T5Tokenizer.from_pretrained("swcrazyfan/DeKingify-T5-Large")
 
 def tokenize_data(text):
     # Tokenize the review body
@@ -32,6 +32,6 @@ def generate_answers(text):
 #iface = gr.Interface(fn=generate_answers, inputs=["Write your text here..."], outputs=["Jamesified text"])
 #iface.launch(inline=False, share=True)
 
-iface = gr.Interface(title="Dekingify", description="Write anything from around the 17th-century below. Then, click submit to 'Dekingify' it (make the text more modern).", fn=generate_answers, inputs=[gr.inputs.Textbox(label="Original Text",lines=10)], outputs=["text"])
+iface = gr.Interface(title="DeKingify", description="Write any English text from the 17th-century. Then, click submit to 'Dekingify' it (try to rephrase it in modern, English language).", fn=generate_answers, inputs=[gr.inputs.Textbox(label="Original Text",lines=10)], outputs=["text"])
 #iface = gr.Interface(title="King Jamesify” fn=generate_answers, inputs=[gr.inputs.Textbox(label="Original",lines=30)],outputs=[gr.outputs.Textbox(label="King Jamesified", lines=30)])
 iface.launch(inline=False)