Update app.py

app.py

@@ -9,7 +9,7 @@ tokenizer = T5Tokenizer.from_pretrained("swcrazyfan/Dekingify-T5-Large")
 def tokenize_data(text):
     # Tokenize the review body
  #   input_ = "paraphrase: "+ str(text) + ' >'
-    input_ = "kingify: " + str(text) + ' </s>'
+    input_ = "dekingify: " + str(text) + ' </s>'
     max_len = 512
     # tokenize inputs
     tokenized_inputs = tokenizer(input_, padding='max_length', truncation=True, max_length=max_len, return_attention_mask=True, return_tensors='pt')
@@ -29,5 +29,5 @@ def generate_answers(text, max_length, min_length, num_beams):
     answer = tokenizer.decode(results[0], skip_special_tokens=True)
     return answer
 
-iface = gr.Interface(title="Kingify", description="Write anything below. Then, click submit to 'Kingify' it.", fn=generate_answers, inputs=[gr.inputs.Textbox(label="Original Text",lines=10), gr.inputs.Slider(label="Maximum Length", minimum=1, maximum=512, default=512, step=1), gr.inputs.Slider(label="Minimum Length", minimum=1, maximum=512, default=1, step=1), gr.inputs.Slider(label="Number of Beams", minimum=1, maximum=10, default=5, step=1)], outputs=["text"])
+iface = gr.Interface(title="DeKingify", description="Write anything below. Then, click submit to 'DeKingify' it.", fn=generate_answers, inputs=[gr.inputs.Textbox(label="Original Text",lines=10), gr.inputs.Slider(label="Maximum Length", minimum=1, maximum=512, default=512, step=1), gr.inputs.Slider(label="Minimum Length", minimum=1, maximum=512, default=1, step=1), gr.inputs.Slider(label="Number of Beams", minimum=1, maximum=10, default=5, step=1)], outputs=["text"])
 iface.launch(inline=False)