da03 commited on
Commit
788dc7a
1 Parent(s): 0552781
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -4,7 +4,7 @@ import gradio as gr
4
  from transformers import AutoTokenizer, AutoModelForCausalLM
5
 
6
  # Load models
7
- implicit_cot_model_name = 'yuntian-deng/gpt2-implicit-cot-multiplication'
8
  implicit_cot_model = AutoModelForCausalLM.from_pretrained(implicit_cot_model_name)
9
  tokenizer = AutoTokenizer.from_pretrained(implicit_cot_model_name)
10
 
@@ -144,8 +144,8 @@ color_map = {"correct": "green", "wrong": "red"}
144
  demo = gr.Interface(
145
  fn=predict_product,
146
  inputs=[
147
- gr.Textbox(label='First Number (up to 15 digits)', value='123456789'),
148
- gr.Textbox(label='Second Number (up to 15 digits)', value='987654321'),
149
  ],
150
  outputs=[
151
  gr.HighlightedText(label='Ground Truth Product', combine_adjacent=False, show_legend=False, color_map=color_map),
 
4
  from transformers import AutoTokenizer, AutoModelForCausalLM
5
 
6
  # Load models
7
+ implicit_cot_model_name = 'yuntian-deng/gpt2-implicit-cot-multiplication-18-digits'
8
  implicit_cot_model = AutoModelForCausalLM.from_pretrained(implicit_cot_model_name)
9
  tokenizer = AutoTokenizer.from_pretrained(implicit_cot_model_name)
10
 
 
144
  demo = gr.Interface(
145
  fn=predict_product,
146
  inputs=[
147
+ gr.Textbox(label='First Number (up to 18 digits)', value='123456789'),
148
+ gr.Textbox(label='Second Number (up to 18 digits)', value='987654321'),
149
  ],
150
  outputs=[
151
  gr.HighlightedText(label='Ground Truth Product', combine_adjacent=False, show_legend=False, color_map=color_map),