a0ms1n commited on
Commit
837244b
·
verified ·
1 Parent(s): 75ee0f4

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +5 -4
app.py CHANGED
@@ -17,7 +17,7 @@ def load_cpp_file(file):
17
  def Evaluate_Code(code, method):
18
  if len(code) >= 1500000:
19
  return "Your code is too large", "-"
20
- choices=["V.1.1 (No Format)", "V.1.2 (Format Code)", "Combine"]
21
  if method == choices[0]:
22
  return Evaluate1.eval(code)
23
  elif method == choices[1]:
@@ -36,11 +36,11 @@ def Evaluate_Code(code, method):
36
  with gr.Blocks() as web:
37
  with gr.Row():
38
  with gr.Column(scale=1):
39
- code_box = gr.Textbox(lines=20, label="**C++ Code")
40
  with gr.Column(scale=1):
41
  cpp_file = gr.File(label="Upload C++ File (.cpp)", file_types=[".cpp"])
42
  method_choice = gr.Radio(
43
- choices=["V.1.1 (No Format)", "V.1.2 (Format Code)", "Combine"],
44
  value="Combine",
45
  label="Choose Model"
46
  )
@@ -58,7 +58,8 @@ with gr.Blocks() as web:
58
 
59
  gr.Markdown(
60
  "<p style='font-size: 0.9em; color: gray;'>"
61
- "<strong>Note:</strong> You can submit any type of text, but we recommend submitting C++ code, as that is what our model was trained on."
 
62
  "</p>"
63
  )
64
 
 
17
  def Evaluate_Code(code, method):
18
  if len(code) >= 1500000:
19
  return "Your code is too large", "-"
20
+ choices=["V.1.1 (No Format)", "V.1.2 (Format Code)", "*Combined"]
21
  if method == choices[0]:
22
  return Evaluate1.eval(code)
23
  elif method == choices[1]:
 
36
  with gr.Blocks() as web:
37
  with gr.Row():
38
  with gr.Column(scale=1):
39
+ code_box = gr.Textbox(lines=20, label="** C++ Code")
40
  with gr.Column(scale=1):
41
  cpp_file = gr.File(label="Upload C++ File (.cpp)", file_types=[".cpp"])
42
  method_choice = gr.Radio(
43
+ choices=["V.1.1 (No Format)", "V.1.2 (Format Code)", "*Combined"],
44
  value="Combine",
45
  label="Choose Model"
46
  )
 
58
 
59
  gr.Markdown(
60
  "<p style='font-size: 0.9em; color: gray;'>"
61
+ "* <strong>Combined</strong> means we calculate the average result from two models and evaluate based on that.<br>"
62
+ "* You can submit any type of text, but we recommend submitting C++ code, as that is what our model was trained on."
63
  "</p>"
64
  )
65